IL208735A - Wideband signal analyzer - Google Patents

Wideband signal analyzer

Info

Publication number
IL208735A
IL208735A IL208735A IL20873510A IL208735A IL 208735 A IL208735 A IL 208735A IL 208735 A IL208735 A IL 208735A IL 20873510 A IL20873510 A IL 20873510A IL 208735 A IL208735 A IL 208735A
Authority
IL
Israel
Prior art keywords
signal
frequency
signals
analog
coupled
Prior art date
Application number
IL208735A
Other languages
Hebrew (he)
Other versions
IL208735A0 (en
Inventor
Doron Avital
Noshe Nir Shigris
Original Assignee
Elbit Systems Ltd
Doron Avital
Noshe Nir Shigris
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Elbit Systems Ltd, Doron Avital, Noshe Nir Shigris filed Critical Elbit Systems Ltd
Priority to IL208735A priority Critical patent/IL208735A/en
Publication of IL208735A0 publication Critical patent/IL208735A0/en
Priority to IL212220A priority patent/IL212220A/en
Priority to SG10201508247PA priority patent/SG10201508247PA/en
Priority to CA2814461A priority patent/CA2814461C/en
Priority to PCT/IL2011/000805 priority patent/WO2012049680A1/en
Priority to SG2013027123A priority patent/SG189876A1/en
Publication of IL208735A publication Critical patent/IL208735A/en

Links

Classifications

    • GPHYSICS
    • G01MEASURING; TESTING
    • G01RMEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R13/00Arrangements for displaying electric variables or waveforms
    • G01R13/02Arrangements for displaying electric variables or waveforms for displaying measured electric variables in digital form
    • G01R13/0218Circuits therefor
    • G01R13/0272Circuits therefor for sampling
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01RMEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R19/00Arrangements for measuring currents or voltages or for indicating presence or sign thereof
    • G01R19/0046Arrangements for measuring currents or voltages or for indicating presence or sign thereof characterised by a specific application or detail not covered by any other subgroup of G01R19/00
    • G01R19/0053Noise discrimination; Analog sampling; Measuring transients
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01RMEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R23/00Arrangements for measuring frequencies; Arrangements for analysing frequency spectra
    • G01R23/02Arrangements for measuring frequency, e.g. pulse repetition rate; Arrangements for measuring period of current or voltage
    • G01R23/14Arrangements for measuring frequency, e.g. pulse repetition rate; Arrangements for measuring period of current or voltage by heterodyning; by beat-frequency comparison
    • G01R23/145Arrangements for measuring frequency, e.g. pulse repetition rate; Arrangements for measuring period of current or voltage by heterodyning; by beat-frequency comparison by heterodyning or by beat-frequency comparison with the harmonic of an oscillator
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01RMEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R23/00Arrangements for measuring frequencies; Arrangements for analysing frequency spectra
    • G01R23/16Spectrum analysis; Fourier analysis
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01RMEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R23/00Arrangements for measuring frequencies; Arrangements for analysing frequency spectra
    • G01R23/16Spectrum analysis; Fourier analysis
    • G01R23/17Spectrum analysis; Fourier analysis with optical or acoustical auxiliary devices

Abstract

System for collecting at least one signal simultaneously including an analog sampler (106), at least two digital frequency analyzers (DFAs) (108A-C) and a processor (110), the DFAs each coupled with the analog sampler, the processor coupled with each of the DFAs, the analog sampler for receiving the signal as at least one analog electrical signal, for folding the analog electrical signal using at least two different comb frequencies simultaneously into at least one sampled analog electrical signal and for demultiplexing the sampled analog electrical signal into at least two intermediate frequency (IF) signals according to the different comb frequencies, the DFAs for digitally sampling the IF signals into digital signals, the processor for determining a plurality of linear combinations of the IF signals with respect to the different comb frequencies used and for determining at least one frequency of the signal by evaluating the plurality of linear combinations of the IF signals.

Description

WIDEBAND SIGNAL ANALYZER Agent Ref: 003666IL Agent: Borochov Korakh & Co.
Applicant: Elbit Systems Ltd.
WIDEBAND SIGNAL ANALYZER FIELD OF THE DISCLOSED TECHNIQUE The disclosed technique relates to signal analyzers, in general, and to methods and systems for analyzing a plurality of signals simultaneously over a wide frequency band, in particular.
BACKGROUND OF THE DISCLOSED TECHNIQUE Signal analyzers are devices which can analyze a signal and determine various characteristics of the signal, such as its frequency, time of arrival and bandwidth. Other components of the signal can also be characterized. The signal may be provided to the signal analyzer or the signal may be received by the signal analyzer. The signal may be electrical, electromagnetic (herein abbreviated EM), acoustic or optical. Reference is now made to Figure 1A, generally referenced 10, which is a schematic illustration of a prior art signal analyzer. Signal analyzer 10 can receive signals to be analyzed and can characterize the frequency or frequencies of the received signal or signals. Signal analyzer 10 includes an antenna 12, an amplifier 14 and a filter 16. Amplifier 14 is coupled with antenna 12 and filter 16. Incoming signals 18, shown by a set of arrows 20, impinge on antenna 12 which receives incoming signals 18. Incoming signals 18 may be EM signals. Antenna 12 converts the received incoming signals to electrical signals and provides the electrical signals to amplifier 14. Amplifier 14 amplifies the electrical signals and provides the amplified electrical signals to filter 16. Filter 16 may include a plurality of filters (not shown), such as low pass filters, high pass filters and bandpass filters. Filter 16 substantially filters the electrical signals, thereby determining the frequency, or frequency band of the electrical signals and thus the frequency, or frequency band of incoming signals 18. For example, if filter 16 includes a plurality of bandpass filters, then the frequency of incoming signals 18 can be determined according to which one of the plurality of bandpass filters passes incoming signals 18. The narrower the bandpass, the more precisely signal analyzer 10 can determine the frequency of incoming signals 18.
Reference is now made to Figure 1 B, generally referenced 50, which is another schematic illustration of a prior art signal analyzer. Signal analyzer 50 can receive signals to be analyzed and can determine various characteristics of the received signals. Signal analyzer 50 includes an antenna 52, an analog processor 54 and a digital processor 56. Analog processor 54 is coupled with antenna 52 and digital processor 56. Incoming signals 58, shown by a set of arrows 60, impinge on antenna 52 which receives incoming signals 58. Incoming signals 58 may be EM signals. Antenna 52 converts the received incoming signals into electrical signals and provides the electrical signals to analog processor 54. Analog processor 54 analyzes and processes the electrical signals as analog signals. Analog processor 54 may include an amplifier (not shown) and a filter {not shown), as shown above in Figure 1A. Analog processor 54 may also include an analog-to-digital converter (herein abbreviated ADC), which converts the analog electrical signals into representative digital signals. Analog processor 54 then provides the representative digital signals to digital processor 56. Digital processor 56 analyzes the representative digital signals and characterizes various components of incoming signals 58.
In general, signal analyzers which include a digital processor for characterizing the various components of a received signal are required to sample the received signal at a sampling rate in accordance with the Nyquist-Shannon sampling theorem in order to perfectly reconstruct the received signal and thereby determine characteristics of the received signal. The received signal is substantially an analog signal having a continuous set of values representing the received signal. In order to convert the analog signal into a digital signal for digital processing by the digital processor, the analog signal must be sampled. Sampling substantially refers to the process by which discrete measurements of the analog signal are taken. The rate at which the discrete measurements, also known as samples, are taken is referred to as the sampling rate. According to the Nyquist-Shannon sampling theorem, to perfectly reconstruct the analog signal and its characteristics from the digital signal, the sampling rate must be at least double the highest frequency of the received analog signal, which includes the signal bandwidth. The signal bandwidth substantially refers to the difference between the highest and lowest frequencies present in the analog signal and can also be referred to as a frequency band. The frequency of such a sampling rate is known as the Nyquist frequency. For many frequency bands, signal samplers exist which can sample the analog signal at or above the Nyquist frequency. In the case of very wide frequency bands, for example on the order of tens of gigahertz (herein abbreviated GHz), signal samplers which can sample the analog signal at the Nyquist frequency may not be available or may not exist. In such cases, devices known as down-converters can be used in the signal analyzers which convert the analog signal to an analog signal having a lower frequency band, i.e., to a lower highest frequency in the analog signal. At the lower frequency band, known signal samplers can be used to sample the lower frequency analog signal at or above its Nyquist frequency. It is noted that in signal analyzers including down-converters, a plurality of signal analyzers may be required in order to simultaneously cover a wide frequency band.
Signal analyzers which include down-converters for analyzing very high frequency signals and very wide frequency bands are known in the art. U.S. Patent Application Publication No. 2007/0086544 A1 issued to Fudge et al., entitled "Nyquist folded bandpass sampling receivers and related methods," is directed to a Nyquist folded bandpass sampling receiver that uses wideband filters and modulated sampling clocks to identify received signals. The Nyquist folded bandpass sampling receiver includes receive path circuitry which includes a wideband filter circuitry. The wideband filter circuitry has a center frequency within a frequency range of interest and a bandwidth less than or equal to the frequency range of interest yet wide enough to cover multiple Nyquist zones associated with a modulated sampling clock. The sampling receiver also includes sampling circuitry configured to receive a filtered signal from the wideband filter circuitry and to receive the modulated sampling clock signal as an input. The modulated sampling clock signal is configured to provide non-uniform sampling for signals within the multiple Nyquist zones to induce frequency modulation on signals dependent on a Nyquist zone of origin. The modulated sampling clock signal can be a frequency modulated clock signal.
During operation of the Nyquist folded bandpass sampling receiver, multiple Nyquist zones are allowed to fold on top of each other during sampling. An RF sampling clock in the sampling receiver is modulated, thereby inducing separate frequency modulations within each Nyquist zone. The signals that are folded together from different Nyquist zones can then be identified and distinguished. When the Nyquist zones fold on top of each other, the different signals from different Nyquist zones can be separated and identified based on the fact that the added modulation is different for each Nyquist zone. By using one or more clock modulations to induce frequency modulations that are Nyquist zone dependent, multiple Nyquist zones can be aliased together while still allowing for signals from different Nyquist zones to be separated and identified. A similar Nyquist folded bandpass sampling receiver is disclosed in U.S. Patent Application Publication No. 2007/0081578 A1 issued to Fudge et al. and entitled "Nyquist folded bandpass sampling receivers with narrow band filters for UWB pulses and related methods." U.S. Patent Application Publication No. 2008/0013653 A1 issued to Fudge et al., entitled "Direct bandpass sampling receivers with analog interpolation filters and related methods," is directed to a reconfigurable direct radio frequency (RF) bandpass sampling receiver that uses analog interpolation filters to improve performance. The bandpass sampling receiver includes a receive path circuitry having decoupled quantization.
The receive path circuitry includes a bandpass filter circuitry having a center frequency within a frequency range of interest and having a bandwidth less than the frequency range of interest. The bandpass sampling receiver also includes a non-quantizing sampling circuitry which is configured to receive a filtered signal from the bandpass filter circuitry and to receive a bandpass sampling clock signal as an input. The bandpass sampling clock signal meets Nyquist sampling criteria of the bandpass filter but does not meet Nyquist sampling criteria of the total frequency range of interest. The bandpass sampling receiver further includes an analog interpolation filter which receives the output of the non-quantizing sampling circuitry where the analog interpolation filter has a center frequency within a Nyquist zone of operation for the non-quantizing sampling circuitry. Analog to digital converter (ADC) circuitry is also included in the sampling receiver to receive a quantization sampling clock signal and to quantize an analog signal received from the analog interpolation filter. The analog interpolation filter may be a tunable analog interpolation filter having a center frequency that is tunable within a Nyquist zone of operation for the non-quantizing sampling circuitry. The bandpass filter circuitry can be a tunable bandpass filter circuitry having a tunable center frequency dependent upon a filter control signal where the center frequency is tunable across the frequency range of interest. In addition, the quantization sampling clock signal can be tunable to determine a Nyquist zone of operation for the ADC. The addition of an analog interpolation filter to the bandpass sampling receiver allows the quantization clock to be de-coupled from the RF sampling clock. As such, the quantization can be performed at a much slower rate than the initial RF sampling, allowing the final analog bandwidth to be much narrower than the bandwidth of the first stage filter located before the high-speed sampler. A similar reconfigurable direct RF bandpass sampling receiver is disclosed in U.S. Patent No. 7,489,745 issued to Fudge and entitled "Reconfigurable direct RF bandpass sampling receiver and related methods." U.S. Patent No. 7,269,354 issued to Silverman et al., entitled "Superheterodyne photonic receiver using non-serial frequency translation," is directed to an optoelectronic RF signal receiver. The receiver includes a first RF-to-photonic modulator for receiving an optical carrier signal and an electrical signal from a local oscillator. The first modulator produces an optical carrier signal with first optical sidebands offset from the carrier signal by the local oscillator frequency. The receiver also includes a second RF-to-photonic modulator for receiving an electrical RF signal and the signals from the first modulator. The second modulator produces second sidebands to each of the first optical sidebands from the first modulator with each of the second sidebands being offset from the first sidebands by the RF signal frequency. The receiver further includes a detector for receiving signals produced by the second modulator. The detector produces an electrical intermediate frequency (IF) signal for further processing. The receiver does not use a frequency translation device in the RF signal path and thereby eliminates RF loss, noise and limited dynamic range. The two modulators can be biased for optimum linearity and for optimum rejection of in-band spurious signal products.
An article entitled "Photonic subsampling analog-to-digital conversion of microwave signals at 40-GHz with higher than 7-ENOB resolution," written by Kim et al., published in Optics Express, Vol. 16, No. 21 (October 2008) is directed to a photonic subsampling analog-to-digital converter (ADC) that down-converts and digitizes narrowband high frequency microwave signals. The ADC includes a passively mode-locked erbium fiber laser which generates an ultralow-jitter optical pulse train.
The optical pulse train is used to subsample down-convert a narrowband high frequency microwave signal. The ADC also includes an intensity modulator which convolves the optical pulse train used for subsampling with the microwave signal. Due to subsampling of the microwave signal, the spectrum of the microwave signal is aliased at every harmonic of the repetition rate of the optical pulse train, including at the baseband frequency. The baseband frequency copy is provided to a low pass filter in the ADC for down-converting the high frequency microwave signal to the baseband frequency in the optical domain. The down-converted baseband signal is converted from the optical domain to the electronic domain by applying the modulated pulse train to photodiodes that are reverse-biased by an on-chip current source, thereby generating a photocurrent. The resulting signal-dependent photocurrent is charged onto a capacitor and is also provided as input to a continuous-time (CT) Delta-Sigma modulator, included in the ADC. The CT Delta-Sigma modulator inherently filters out aliased copies of the narrowband microwave signal while the baseband signal is retained and quantized by a 1-bit resolution ADC, included in the ADC, operating at a high sampling rate. The oversampled 1 -bit serial stream is provided to a digital filter in the ADC. The digital filter includes a decimator which digitally re-samples the oversampled 1-bit serial stream and generates a 1-bit digitized output code.
An article entitled "Multi-rate asynchronous sampling of sparse multi-band signals," written by Rosenthal et al., published online at arXiv:0807.1222v1 [physics. optics] is directed to a scheme for reconstructing multi-band signals. The scheme entails gathering samples of a multi-band signal at several different rates whose sum is substantially lower than the Nyquist sampling rate. The scheme enables the spectrum amplitude and the spectrum phase to be reconstructed. An article entitled Optical under-sampling and reconstruction of several bandwidth-limited signals," written by Feldster et al., is directed to a system for under-sampling a bandwidth-limited signal with a carrier frequency not known a priori. The system undersamples asynchronously at three different sampling rates and uses a wavelength division multiplexing technique. The system enables the reconstruction of the amplitude and the phase of the signal.
SUMMARY OF THE PRESENT DISCLOSED TECHNIQUE It is an object of the disclosed technique to provide a novel method and system for instantaneously and continuously analyzing a wide frequency spectrum which may include a plurality of signals which overcomes the disadvantages of the prior art. In accordance with the disclosed technique, there is thus provided a system for collecting at least one signal simultaneously including an analog sampler, at least two digital frequency analyzers (DFAs) and a processor. The DFAs are each respectively coupled with the analog sampler and the processor is coupled with each one of the DFAs. The analog sampler is for receiving the signal as at least one analog electrical signal and for folding the analog electrical signal using at least two different comb frequencies simultaneously into at least one sampled analog electrical signal. The analog sampler is also for demultiplexing the sampled analog electrical signal into at least two respective intermediate frequency (IF) signals respectively according to the different comb frequencies. Each one of the DFAs is for digitally sampling a respective one of the respective IF signals into at least one respective digital signal and for spectrally analyzing the respective digital signal. The processor is for determining a plurality of linear combinations of the respective IF signals with respect to the different comb frequencies used in the analog sampler. The processor is also for determining at least one frequency of the signal by evaluating the plurality of linear combinations of the respective IF signals.
According to another aspect of the disclosed technique there is thus provided a system for collecting at least one signal simultaneously, with a frequency of the signal being within a defined intermediate frequency (IF) band, the system including an analog sampler, at least one digital frequency analyzer (DFA) and a processor. The DFA is coupled with the analog sampler and the processor is coupled with the DFA. The analog sampler is for receiving the signal as at least one analog electrical signal and for folding the analog electrical signal using at least one comb frequency into at least one sampled analog electrical signal. The analog sampler is also for converting the sampled analog electrical signal into at least one respective IF signal according to the comb frequency. The DFA is for digitally sampling the respective IF signal into at least one respective digital signal and for spectrally analyzing the respective digital signal. The processor is for determining a plurality of linear combinations of the respective IF signal with respect to the comb frequency used in the analog sampler. The processor is also for determining at least one frequency of the signal by evaluating the plurality of linear combinations of the respective IF signal. The respective IF signal has a frequency within the IF band.
According to a further aspect of the disclosed technique there is thus provided a method for collecting at least one signal simultaneously including the procedures of collecting at least one signal and folding the collected signal using at least two different comb frequencies simultaneously, thereby generating at least two respective intermediate frequency (IF) signals. The method also includes the procedures of digitally sampling each one of the respective IF signals, thereby generating at least two respective sampled IF signals and spectrally analyzing the respective sampled IF signals. The method further includes the procedure of processing each one of the respective sampled IF signals, thereby determining at least one characteristic of the collected signal.
According to another aspect of the disclosed technique there is thus provided a method for collecting at least one signal simultaneously including the procedures of collecting at least one signal and folding the collected signal using at least two different comb frequencies simultaneously, thereby generating at least two respective intermediate frequency (IF) signals. The method also includes the procedures of digitally sampling each one of the respective IF signals, thereby generating at least two respective sampled IF signals and digitally processing the respective sampled IF signals. The method further includes the procedure of processing each one of the respective sampled IF signals, thereby determining at least one characteristic of the collected signal.
BRIEF DESCRIPTION OF THE DRAWINGS The disclosed technique will be understood and appreciated more fully from the following detailed description taken in conjunction with the drawings in which: Figure 1 A is a schematic illustration of the prior art; Figure 1 B is another schematic illustration of the prior art; Figure 2 is a schematic illustration of a signal analyzer, constructed and operative in accordance with an embodiment of the disclosed technique; Figure 3A is a schematic illustration of the analog optical sampler of Figure 2, constructed and operative in accordance with another embodiment of the disclosed technique; Figure 3B is a schematic illustration of one of the optical pulse generators of Figure 3A, constructed and operative in accordance with a further embodiment of the disclosed technique; Figure 3C is a schematic illustration of the digital frequency analyzers of Figure 2, constructed and operative in accordance with another embodiment of the disclosed technique; Figure 3D is a schematic illustration of the processor of Figure 2, constructed and operative in accordance with a further embodiment of the disclosed technique; Figure 4 is a schematic illustration showing a plurality of frequency diagrams of the signals generated by the analog optical sampler of Figure 3A, constructed and operative in accordance with another embodiment of the disclosed technique; and Figure 5 is a schematic illustration of a method for analyzing a plurality of signals simultaneously, operative in accordance with a further embodiment of the disclosed technique.
DETAILED DESCRIPTION OF THE EMBODIMENTS The disclosed technique overcomes the disadvantages of the prior art by providing a novel signal analyzer system and method for instantaneously and continuously analyzing a plurality of signals over a wide frequency spectrum. The signal may have a frequency ranging from the kilohertz (herein abbreviated KHz) range to the terahertz (herein abbreviated THz) range, for example between 5 KHz and 50 THzt including the entire megahertz (herein abbreviated MHz) and gigahertz (herein abbreviated GHz) ranges. The signal may be electrical, electromagnetic (herein abbreviated EM), optical and may include the entire frequency spectrum. The signal may also include a plurality of signals received, provided to or intercepted by the signal analyzer simultaneously. In addition, the signal may also be a noise signal. According to the disclosed technique, the signal analyzer includes an analog optical sampler which optically folds the received signal using a plurality of different sampling frequencies. The signal analyzer also includes a plurality of novel digital frequency analyzers which determine linear combinations of the sampling frequencies used to fold the received signal. According to the disclosed technique, the frequency of the received signal, or the frequencies of a plurality of signals received simultaneously, can be determined based on the determined linear combinations of the sampling frequencies used and the corresponding measured intermediate frequencies. In addition, the signal analyzer of the disclosed technique includes a novel processor which can determine other characteristics of the received signal, some of which are based on the determined linear combinations of the sampling frequencies used. For example, the novel processor can determine the amplitude of received signal as well as its frequency spread, both of which can be used to determine the time of arrival of the received signal, the time of end of the received signal, power level parameters relating to the received signal and amplitude level parameters relating to the received signal. Also, amplitude and frequency variations within the received signal can be used to determine frequency, phase and amplitude modulations related to the received signals, within a pulse of the received signal and between pulses of the received signal. The signal analyzer of the disclosed technique can be used in a plurality of applications where any spectrum (in particular a wideband spectrum) of frequencies is to be monitored simultaneously for incoming signals, providing a high signal-to-noise ratio (herein abbreviated SNR), when the frequency, or frequencies, of the incoming signals are not known a priori. Examples of such applications include spectrum analysis, determining the location of a lost cellular telephone, detecting a plurality of beacons simultaneously for navigation purposes, such as for airplane pilots, mapping the amplitude and radio frequency (herein abbreviated RF) spectrum used by transmit antennas of cellular telephone companies for the safety of citizens living near such transmit antennas, detecting pirate radio stations, detecting pirate TV stations, electromagnetic interference testing, radio frequency interference testing and the like. The signal analyzer of the disclosed technique can also be used in applications where the frequency, or frequencies, of the incoming signals are known a priori.
In general, prior art signal analyzers as described above in Figures 1A and 1 B are designed while taking into account a signal-noise tradeoff. If such systems are designed to analyze signals having a narrow bandwidth, then a high SNR can be achieved in the analyzed signals. At the same time, such systems can only analyze a narrow bandwidth of frequencies instantaneously, which may be appropriate in certain applications. For signals which fall within the narrow bandwidth, a high level of analysis and accurate characterization of the components of the signal can be achieved. Yet signals which fall outside the narrow bandwidth are substantially disregarded by such systems. Alternatively, if such systems are designed to analyze signals in a wide bandwidth, then signals in a wide band of frequencies can be analyzed using a single system. At the same time, the signals analyzed by such systems may exhibit a low SNR, substantially suffering from high noise levels and therefore having a low sensitivity for detecting signals. Also in some prior art signal analyzers an internal scanning filter is used to simultaneously view signals in substantially small portions of a wide bandwidth. As the bandwidth of the internal scanning filter is increased, a greater portion of the wide bandwidth can be viewed at the same time yet the noise level of the viewed signals increases as the bandwidth of the internal scanning filter is increased. In applications where signals in a wide band of frequencies need to be analyzed having a high SNR, multiple narrow band signal analyzers may be coupled together where each narrow band signal analyzer analyzes and processes signals in a different narrow band. Whereas such systems may be able to accurately analyze signals in a wide band of frequencies, such systems may not be cost effective due to the number of multiple narrow band signal analyzers required to cover the desired wide frequency band to be analyzed. Multiple signal analyzers in a single system can also increase the volume, power consumption and weight of such systems. In addition, such systems, since they involve multiple narrow band signal analyzer subsystems may suffer from higher maintenance costs and increased complexity in setting up, It is also noted that prior art signal analyzers can substantially analyze and determine the characteristics of a single received or provided signal for a given time period. If two or more signals are received by the signal analyzer within the given time period, then the additional signals received simultaneously (i.e., the second signal received, the third signal received, and so on... ) are not analyzed. In general, if two or more signals are received by such prior art signal analyzers simultaneously, then not only are the characteristics of the additional signals not determined, even the presence of such additional signals arriving simultaneously with a first signal at the signal analyzer may sometimes not be known. In addition, many prior art signal analyzers cannot analyze pulsed signals which have a short pulse width, because of the wide spectrum representing it.
According to the disclosed technique, a signal analyzer is provided which enables signals in a wide bandwidth to be analyzed at a high SNR. The signal analyzer of the disclosed technique is cost effective as a single system is used to analyze wideband signals as opposed to prior art systems which use multiple narrow band signal analyzers to cover a wide bandwidth of signals. In addition, the signal analyzer of the disclosed technique is also cost effective as optical signals are used in a substantial portion of the operations executed by the signal analyzer, as opposed to the electronic domain. In general, optical components tend to have a longer operational life than electronic components, thereby resulting in greater cost effectiveness. In addition, optical components tend to save power and volume as opposed to electronic components, thereby resulting in more reliable handling of and higher accuracy in the signals transferred in the system. Also according to the disclosed technique, the presence of a plurality of signals arriving simultaneously at the signal analyzer of the disclosed technique can be determined and the signal characteristics of each of the plurality of received signals can be determined, even if the plurality of signals arrives at the signal analyzer simultaneously.
Reference is now made to Figure 2, which is a schematic illustration of a signal analyzer, generally referenced 100, constructed and operative in accordance with an embodiment of the disclosed technique.
Signal analyzer includes an antenna 102, an analog front end 104, an analog optical sampler 106, three digital frequency analyzers 108A, 108B and 108C and a processor 110. Antenna 102 is an optional component in signal analyzer 100. Antenna 102 can be substituted with any signal receiver, signal collector, signal detector or any type of known signal acquiring device, such as a transducer or a probing device. Analog front end 104 may also be an optional component in signal analyzer 100, for example if incoming signals 1 12 are provided to signal analyzer 100 instead of being received by signal analyzer 100, as described below.
Analog front end 104 is coupled with antenna 102 and with analog optical sampler 106. Each of digital frequency analyzers 108A, 108B and 108C are respectively coupled with both analog optical sampler 106 and processor 110. Analog optical sampler 106 is described in greater detail below in Figure 3A. Digital frequency analyzers 108A, 108B and 108C are described in greater detail below in Figure 3C. Processor 110 is described in greater detail below in Figure 3D. Arrow heads on the lines coupling the components of signal analyzer 100 show the direction in which signals move through signal analyzer 100. It is noted that signals move between digital frequency analyzers 108A-108C and processor 1 10 in both directions. This is explained in greater detail below in Figures 3C and 3D.
Antenna 102 received incoming signals 112, shown by a set of arrows 114. Incoming signals 112 may be received by antenna 102, provided to antenna 102 or intercepted by antenna 102. Incoming signals 112 are signals having frequencies which fall in a wideband of frequency ranges. For example, incoming signals 112 may have frequencies as low as 5 KHz or as high as 500 GHz or higher, such as 50 THz. Throughout the description, the term 'wideband signal' is used to describe a received, intercepted or provided signal to signal analyzer 100 which may have a frequency falling in a wideband of frequency ranges, as noted above. Incoming signals 1 2 may be continuous wave signals or pulsed signals. The pulsed signals may have a short pulse width. It is noted that the frequencies of incoming signals 112 are not known a priori. In addition, antenna 102 may receive a plurality of wideband signals simultaneously. Incoming signals 1 12 can vary in a wide continuous frequency spectrum. The incoming signals 112 can also be noise signals provided to signal analyzer 100. In this respect, incoming signals 1 12 are not received signals but collected signals. It is noted that antenna 102 may be embodied, as mentioned above, as a signal detector, such that antenna 102 is substantially always attempting to detect, or intercept, incoming signals 112. Antenna 102 converts the received signals, which may be electromagnetic signals for example, to analog electrical signals and provides the analog electrical signals to analog front end 104. Analog front end 104 may include at least one of an amplifier (not shown), for amplifying weak signals, a limiter (not shown), for limiting strong signals and an attenuator (not shown), for attenuating strong signals. Analog front end 104 may also include at least one of at least one amplifier, at least one limiter and at least one attenuator. Analog front end 104 may also include various analog filters (not shown) for initially processing incoming signals 1 12. Analog front end 104 may further include an external input (not shown) for executing a built-in test or to blank reception of signal analyzer 100. Analog front end 104 provides the analog electrical signals to analog optical sampler 106.
Analog optical sampler 106 receives the analog electrical signals and folds each analog electrical signal using at least two different comb frequencies simultaneously. A modulator (shown in Figure 3A) in analog optical sampler 106 analog undersamples incoming signals 1 12 using at least two optical pulse trains. This results in a narrowing of the output bandwidth of incoming signals 1 12 after modulation. As described in Figure 3A, two, three, four or more comb frequencies can be used to fold the received analog electrical signal. It is noted that the received analog electrical signal may include a plurality of signals received simultaneously. In signal analyzer 100, three comb frequencies (not shown in Figure 2) are used merely as an example, where it is clear to the worker skilled in the art that at least two comb frequencies can be used. It is also noted that in the case that incoming signals 1 12 have a frequency which is in a defined intermediate frequency band, for example if incoming signals 112 are narrowband signals, then only a single comb frequency is required to fold the received analog electrical signal. The sampling rate of the comb frequencies is in the low GHz rate, for example between 1 -5 GHz. Depending on the application of the disclosed technique, the comb frequencies can also be significantly lower than 1 GHz. The different comb frequencies are multiplexed together to form a sampling signal. The multiplexed sampling signal is used to simultaneously sample the analog electrical signal at the different comb frequencies. It is noted, as described below in Figures 3A and 3B, that the sampling of the analog electrical signal in analog optical sampler 106 is not executed using conventional sampling techniques, such as with an analog-to-digital converter. As shown below, a train of analog optical pulses is used to sample the analog electrical signals. Such a sampling can be referred to as analog sampling. As the frequency, or frequencies, of incoming signals 1 12 is not known a priori, each analog electrical signal may be undersampled. Undersampling refers to the process whereby an analog signal is sampled at a sampling rate below the Nyquist frequency of the analog signal {i.e., less than two times the highest frequency in the analog signal). If an analog electrical signal is analog undersampled, then aliasing occurs, whereby different representations of the analog electrical signal become indistinguishable from one another. Analog optical sampler 106 demultiplexes and converts the sampled analog electrical signal, according to the different comb frequencies, into at least two intermediate frequency (herein abbreviated IF) signals. It is noted that the highest frequency of the IF signals may be lower than the highest frequency of incoming signals 1 2. Using the example above, if the comb frequencies used to analog sample the received signals are between 1-5 GHz, then the IF signals may have a highest frequency of between 0 to 2.5 GHz. The IF signals are analog electrical signals. In signal analyzer 100, as three different comb frequencies are used as an example, analog optical sampler 106 demultiplexes and converts the sampled analog electrical signal, according to the three different comb frequencies, into three analog electrical signals. Each analog electrical signal is outputted as a respective analog electrical signal having a unique intermediate frequency. Analog optical sampler 106 outputs IF, 116A, IF2 116B and IF3 116C, where each of \F^ 116A, IF2 116B and IF3 116C represents a respective electrical signal having a unique IF. As mentioned above, if the frequency of incoming signals 1 12 is within a defined intermediate frequency band, then only one comb frequency is required to analog sample the received analog electrical signals. In this case, analog optical sampler 106 will output a single analog electrical signal having a unique intermediate frequency (not shown). As mentioned above, analog optical sampler 106 is described in greater detail below in Figure 3A.
Each one of I F 1 16A, IF2 1 16B and 1F3 1 16C is provided to a respective one of digital frequency analyzers 108A, 108B and 08C. Each one of digital frequency analyzers 108A, 108B and 108C substantially digitally samples I F T 1 6A, IF2 1 16B and IF3 1 16C. Each one of IFi 1 16A, IF2 1 16B and IF3 1 16C is an analog signal in a baseband frequency low enough to be sampled by ADCs (not shown in Figure 2) in respective ones of digital frequency analyzers 108A, 108B and 108C at at least their respective Nyquist frequencies. In analog optical sampler 106, the received signals are analog sampled. In digital frequency analyzers 108A, 108B and 108C, the received signals, which are outputted from analog optical sampler 106 as analog electrical signals, are digitally sampled. Using the above example, digital frequency analyzers 108A, 108B and 108C may digitally sample the IF signals at a sampling rate of 5 GHz if the highest frequency of the IF signals is between 0-2.5 GHz (i.e. at a sampling rate at least equal to their Nyquist frequencies). In this respect, the IF signals are not down-converted and the IF signals do not suffer any loss of data. After digitally sampling the IF signals, each one of digital frequency analyzers 108A, 108B and 108C then spectrally analyzes a respective one of the digitally sampled signals corresponding to I F1 1 16A, IF2 1 16B and I F3 1 16C. The analysis can involve advanced processing techniques such as using a fast Fourier transform (herein abbreviated FFT). Each one of digital frequency analyzers 108A, 108B and 108C can be embodied as an IF instantaneous spectrum analyzer. IF 1 16A is provided to digital frequency analyzer 1 08A, IF2 1 16B is provided to digital frequency analyzer 108B and IF3 1 16C is provided to digital frequency analyzer 108C. The number of digital frequency analyzers in signal analyzer 100 corresponds to the number of different comb frequencies used in analog optical sampler 106. Therefore, if two different comb frequencies are used in analog optical sampler 106, then signal analyzer 100 will include only two digital frequency analyzers. In the case that a single comb frequency was used in analog optical sampler 106, then signal analyzer 100 will only include one digital frequency analyzer. If the analog electrical signal provided to analog optical sampler 106 was undersampled, then aliasing in the analog electrical signals will occur. According to the disclosed technique, the frequency or frequencies of incoming signals 112 can be resolved, even if undersampled, due to the different comb frequencies used. Aliasing in the analog electrical signals can thus be un-aliased by using the different comb frequencies, which represent different aliasing frequencies. This is explained in greater detail below in Figure 3A. As such, the frequency, or frequencies, of incoming signals 1 12 may be represented as linear combinations of the different comb frequencies used to sample the analog electrical signal. According to the different comb frequencies used in analog optical sampler 106 and their respective measured IF signal frequencies (in digital frequency analyzers 108A, 108B and 108C), processor 110 determines various linear combinations of the measured IF signal frequencies with respect to the different comb frequencies. According to the disclosed technique, a plurality of linear combinations is determined. Each linear combination of the different comb frequencies can be represented formally as / · Cj ± AC = m■ Cf2 ± AC/2 = n■ Cj ± AC/; = ISf ( 1 ) where cyM cf2 and Cf} each respectively represent a different comb frequency, AC/j , ACf2 and ACf3 each respectively represent the frequency of the digitally sampled IF signals received from analog optical sampler 106, a value proportional to the input frequency as a result of the comb frequency, ISf represents the frequency of incoming signals 1 12 and /, m and n represent integer coefficients. Equation (1 ) can be generalized as / · Cf ± ACf = m■ Cfj ± ACfi = ISf (2) /≠ j (3) where l - Cf ± ACf and - Cf AC yield a plurality of determined linear combinations. As described below, when l - Cf ± ACf is evaluated and compared with - Cfj + ACfj , a single determined linear combination can be determined for ISf .
As incoming signals 1 12 were folded in analog optical sampler 106 using different comb frequencies, each of ACf , ACf2 and ACf respectively represents an offset or a residual emanating from the fact that incoming signals 112 were not necessarily divided evenly by each of the different comb frequencies. Each of /, m and n in Equation (1 ) is a natural (i.e. positive integer) number. Determining various linear combinations of the different comb frequencies substantially represents determining various values for /, m and n. It is noted that Equation (1 ) would need to be modified accordingly if fewer (e.g., two) or more (e.g., four or more) different comb frequencies were used in analog optical sampler 106. The various linear combinations of the different comb frequencies may be determined after applying Fourier transforms to each of 1 16A, IF2 1 16B and IF3 116C. Fourier transforms applied to each of IFt 116A, IF2 116B and IF3 116C result in the determination of AC , ACf2 and ACf . It is noted that the maximal bandwidth for which the original frequency of incoming signals 1 12 can be resolved for by two comb frequencies is given by where GCD is the greatest common divisor. Equation (4) may need to be modified in the case of three or more comb frequencies, as is known to the worker skilled in the art. Each of the various linear combinations determined in Equation (1 ) represents a possible frequency of incoming signals 112. Recall that iSf in Equation (1 ) is not known a priori. The various linear combinations are determined in processor 110.
Based on the determined various linear combinations, processor 1 10 then determines the frequency, or frequencies, of incoming signals 1 12 by evaluating the various linear combinations determined. The determined frequency, or frequencies, of incoming signals 112 correspond to particular integer coefficient values of /, m and n as well as particular values of AC/\ A /2 and AC in Equation (1 ) above. Processor 110 thus anti-aliases the different comb frequencies used to sample incoming signals 112 and determines the frequency of incoming signals 112. If more than one linear combination determined by processor 110 based on IF, 116A, IF2 116B and IF3 116C is also an integer multiple of another linear combination determined by processor 110 based on 16A, IF2 16B and IF3 1 16C, then a plurality of simultaneous signals are present in incoming signals 1 12, whose characteristics can be determined. Processor 110 can thus determine if more than one incoming signal arrived at signal analyzer 100 simultaneously as well as its characteristics. Processor 110 may use other data relating to incoming signals 1 12, such as its arrival time, the outputted IF signals of analog optical sampler 106 as well as the frequency of the baseband signal used to analog sample incoming signals 112 in analog optical sampler 106, to determine other characteristics of incoming signals 1 12, besides its frequency, such as its pulse width, amplitude, bandwidth, variations within the received signal and intrapulse data, such as frequency modulations and/or frequency modulation data, amplitude modulations and/or amplitude modulation data and phase modulations and/or phase modulation data, and the like. Processor 1 10 may use additional data, such as time stamps of the multiplexed sampling signal, recorded copies of the digitally sampled IF signals in digital frequency analyzers 108A, 108B and 108C to determine the other characteristics of incoming signals 12. The characteristics of incoming signals 112 listed above can also be used to eliminate undesired signals. In addition, filtering mechanisms can also be used by processor 1 10 for load balancing and for the elimination of undesired signals without interfering with the processing of the received signals. For example, processor 1 10 may implement a plurality of digital band reject filters in each of digital frequency analyzers 108A, 108B and 108C. These reject filters may be set to different frequencies for each of digital frequency analyzers 108A, 108B and 108C. In this respect, each one of digital frequency analyzers 108A, 108B and 108C can be tuned to ignore, or reject, specific undesired signals it receives. The ignoring or rejection of specific undesired signals in each of digital frequency analyzers 108A, 108B and 108C can be temporary or permanent.
In the case of a plurality of incoming signals arriving at signal analyzer 100 simultaneously, processor 100 determines the characteristics of each of the incoming signals based on the particular integer coefficient values of /, m and n as well as the values of AC/, , AC/2 and AC/j , representing each unique incoming signal. Processor 110 outputs a digital description 1 18 of incoming signal 112 which includes a listing of the determined characteristics of incoming signals 1 12. Digital description 118 substantially represents a detection of incoming signal 1 12, i.e., processor 110 can detect incoming signals 112. Digital description 118 of the signal may include the determined characteristics of a plurality of incoming signals 112 received simultaneously, either all at once or separately. Digital description 1 18 is substantially a data object which can be processed by a computer. It is noted that analog optical sampler 106, digital frequency analyzers 108A, 108B and 108C as well as processor 1 10 all continuously operate in real-time, with no gaps or data loss. Real-time operation of analog optical sampler 106, digital frequency analyzers 108A, 108B and 108C and processor 110 can be achieved by using VHDL (very-high-speed integrated circuit hardware description language) high speed data transfer protocols, such as the link layer protocol Aurora developed by Xilinx and the PCI Express protocol.
Reference is now made to Figure 3A, which is a schematic illustration of the analog optical sampler of Figure 2, generally referenced 140, constructed and operative in accordance with another embodiment of the disclosed technique. Analog optical sampler 140 substantially represents analog optical sampler 106 (Figure 2). Analog optical sampler 140 substantially represents a signal folder, for example, a radio frequency (RF) signal folder, for folding an incoming signal, which may have a very high frequency, to a lower frequency, while maintain its bandwidth by sampling the incoming signal with optical pulse trains. Analog optical sampler 140 includes a plurality of optical pulse generators 150A, 150B and 150C (detailed below in Figure 3B), a multiplexer 152, an erbium-doped fiber amplifier (herein abbreviated EDFA) 154, a modulator 156, a demultiplexer 158, a plurality of photodiodes 160A, 160B and 160C, a plurality of low pass filters 162A, 162B and 162C and a plurality of amplifiers 164A, 164B and 164C. EDFA 154 can be substituted with any known fiber amplifier and is brought merely as an example. Plurality of optical pulse generators 150A, 150B and 150C are coupled with multiplexer 152. Multiplexer 152 is coupled with EDFA 154. Modulator 156 is coupled with EDFA 154, demultiplexer 158 and an analog front end 166. Analog front end 166 substantially represents analog front end 104 (Figure 2). Demultiplexer 158 is coupled with each one of plurality of photodiodes 160A, 160B and 160C. Low pass filter 162A is coupled with photodiode 160A and with amplifier 164A. Low pass filter 162B is coupled with photodiode 160B and with amplifier 164B. Low pass filter 162C is coupled with photodiode 160C and with amplifier 164C. Arrow heads on the lines coupling the components of analog optical sampler 140 show the direction in which pulses and signals move through analog optical sampler 140.
Each one of plurality of optical pulse generators 150A, 150B and 150C generates a train of optical pulses at different frequencies. The different frequencies substantially represent different comb frequencies which are used to analog sample an incoming analog signal. Plurality of optical pulse generators 150A, 150B and 150C are described below in Figure 3B. It is noted that in another embodiment of the disclosed technique, plurality of optical pulse generators 150A, 150B and 150C pulse be replaced by a plurality of frequency generators (not shown), each frequency generator generating a different, unique frequency. The different, unique frequency may either be a constant frequency or an alternating frequency. The plurality of frequency generators can be embodied as a plurality of oscillators. In this embodiment, the incoming analog signal is analog sampled by a plurality of different, unique frequencies, thereby generating an intermediate frequency of a certain bandwidth. As mentioned above, according to the disclosed technique at least two different comb frequencies are used to sample an incoming analog signal. As such, in Figure 3A one of plurality of optical pulse generators 150A, 150B and 150C is optional. As an example, Figure 3A is shown and described using three optical pulse generators, although according to the disclosed technique, two or more optical pulse generators can be used. In addition, as mentioned above, if an incoming analog signal is narrow and has a frequency within a defined intermediate frequency band, then a single optical pulse generator can be used to sample the incoming analog signal. Likewise, if the disclosed technique is embodied using frequency generators instead of optical pulse generators, then if the incoming analog signal is narrow, a single frequency generator can be used to sample the incoming analog signal. Furthermore, as described below, the number of photodiodes, low pass filters and amplifiers in analog optical sampler 140 correspond to the number of optical pulse generators used. Therefore, since at least two optical pulse generators are used in analog optical sampler 140, at least two photodiodes, at least two low pass filters and at least two amplifiers, each respectively coupled to one another, are also used in analog optical sampler 140. If a single optical pulse generator is used in analog optical sampler 140, then a single photodiode, a single low pass filter and a single amplifier, each respectively coupled to one another, are also used in analog optical sampler 140. Also, in such an embodiment, since only a single comb frequency is generated, multiplexer 152 and demultiplexer 158 are not required and EDFA 154 would be coupled with each one of plurality of optical pulse generators 150A, 150B and 150C and modulator 156 would be coupled with each one of plurality of photodiodes 160A, 160B and 160C. In general, the train of optical pulses generated by each one of plurality of optical pulse generators 150A, 150B and 150C has a frequency in the low GHz range, for example, between 1 -5 GHz. The frequency of the train of optical pulses substantially represents the pulse frequency at which the train of optical pulses is emitted from each one of plurality of optical pulse generators 150A, 150B and 150C. The train of optical pulses generated by each one of plurality of optical pulse generators 150A, 150B and 150C is simultaneously provided to multiplexer 152 which multiplexes the plurality of optical pulse trains into a multiplexed optical pulse train. The multiplexed optical pulse train can also be referred to as a multiplexed sampling signal, as mentioned above in Figure 2.
Multiplexer 152 provides the multiplexed sampling signal to EDFA 154 which amplifies the multiplexed sampling signal. EDFA 154 provides the amplified multiplexed sampling signal to modulator 156, which also receives an incoming analog signal from analog front end 166. The amplified multiplexed sampling signal is an optical signal. The incoming analog signal may be a signal from incoming signals 1 12 (Figure 2). Modulator 156 may be any known optoelectronic modulator such as a Mach-Zehnder modulator. Modulator 156 substantially analog samples the received incoming analog signal, which is an electrical signal, with the amplified multiplexed sampling signal, which is an optical signal, thereby generating an analog sampled electrical signal. The amplified multiplexed sampling signal is substantially modulated by the received incoming analog signal which is electrical. Modulator 156 substantially converts the incoming analog signal into an optical signal. As the multiplexed sampling signal includes three optical pulse trains, each having a different frequency, modulator 156 substantially samples the incoming analog signal at three different sampling frequencies simultaneously. In the case that the incoming analog signal has a relatively high frequency, such as a frequency above 2.5 GHz, modulator 156 will undersample the incoming analog signal. Modulator 156 substantially folds the incoming analog signal to a baseband frequency whereby the folded incoming analog signal can be sampled at least at its Nyquist frequency. For example, the baseband frequency may be 2.5 GHz. Yet since the incoming analog signal will be undersampled by the multiplexed sampling signal at different sampling rates which are below the Nyquist frequency, aliasing will occur in the sampled signal. As different sampling rates are used to undersample the incoming analog signal, some of the samples from different sampling rates of the incoming analog signal may overlap, thereby generating, for example, two or more samples of the incoming analog signal each having an identical sampling time stamp but being sampled at two or more different sampling rates. Each of the samples of the incoming analog signal having an identical sampling time stamp can be referred to as an alias. As explained above and below, digital frequency analyzers and a processor are used to anti-alias and un-alias the samples of the incoming analog signal having identical sampling time stamps from different sampling frequencies, and thereby determine the frequency of the incoming analog signal. This anti-aliasing is possible, as shown below in Figure 4, since the samples of the incoming analog signal are aliased to two different places according to the different sampling rates (i.e., comb frequencies), thereby enabling anti-aliasing by a linear determination.
Anti-aliasing is executed by the digital frequency analyzers and the processor by determining linear combinations of the different comb frequencies used to generate the different optical pulse trains, such that the frequency, or frequencies, of the incoming analog signal can be determined. It is also noted that since modulator 156 is substantially an optoelectronic modulator and modulates optical signals using electrical signals, modulator 156 can operate with various electrical signals at various signal strengths simultaneously. For example, modulator 156 can operate with weak electrical signals as well as strong electrical signals simultaneously since the incoming analog signal, an electrical signal, is used to modulate the multiplexed optical signal. Amplitude modulation can be executed on the multiplexed optical signal with the carrier signal being the multiplexed optical signal, Modulator 156 can thus operate using weak and strong electrical signals with the only substantial limitation being the ability of modulator 56 to sense the weak or strong electrical signal provided to it by analog front end 166.
Demultiplexer 158 receives the sampled optical signal, and demultiplexes the sampled optical signal according to the wavelengths, which are known, of the generated optical pulse trains of plurality of optical pulse generators 150A, 50B and 150C. As three different optical pulse trains are generated in analog optical sampler 140, demultiplexer 158 demultiplexes the sampled optical signal into three sampled optical signals, each one at a respective wavelength of plurality of optical pulse generators 150A, 150B and 150C. Demultiplexer 158 provides each of the demultiplexed sampled optical signals to a respective one of plurality of photodiodes 160A, 160B and 160C. Each one of plurality of photodiodes 160A, 160B and 160C converts a respective one of the sampled optical signals into a respective electrical signal and provides each respective electrical signal to a respective one of plurality of low pass filters 162A, 162B and 162C.
Each one of plurality of low pass filters 162A, 162B and 162C is an electrical filter and attenuates high frequencies in the respective electrical signals, thereby generating respective filtered electrical signals in an intermediate frequency band. The intermediate frequency band is in such a range that the respective filtered electrical signals can be respectively sampled in digital frequency analyzers (not shown) at not more than their respective Nyquist frequencies. For example, the intermediate frequency band may be up to 2.5 GHz. Plurality of low pass filters 162A, 162B and 162C substantially eliminate all images of the electrical signal, which has been aliased, retaining only the aliased image of the electrical signal in the baseband frequency. Each one of plurality of low pass filters 162A, 162B and 162C provides a respective filtered electrical signal to respective ones of plurality of amplifiers 164A, 164B and 164C. Each one of plurality of amplifiers 164A, 164B and 164C is an electrical amplifier. Each one of plurality of amplifiers 164A, 164B and 164C amplifies a respective one of the filtered electrical signals and outputs a respective one of the amplified electrical signals as I Fi 168A, IF2 168B and IF3 168C. Amplifier 164A outputs IF1 168A, amplifier 164B outputs IF2 168B and amplifier 164C outputs IF3 168C. \F^ 168A corresponds to IF1 1 16A (Figure 2), IF2 168B correspond to IF2 1 16B (Figure 2) and IF3 168C corresponds to IF3 1 16C (Figure 2). Each one of \F 168A, IF2 168B and IF3 168C has a frequency which is significantly lower than the frequency of the incoming analog signal provided by analog front end 166 to modulator 156, yet all three IF signals retain the original bandwidth of the incoming analog signal provided by analog front end 166. In general, in analog optical sampler 140, each respective optical pulse train from a respective one of plurality of optical pulse generators 1 50A, 1 50B and 150C is eventually demultiplexed, converted into an electrical signal, filtered and then amplified before being outputted as an intermediate frequency (IF) signal. Therefore, the number of photodiodes, low pass filters and amplifiers used in analog optical sampler 140 corresponds to the number of optical pulse generators used in analog optical sampler 140.
It is noted that in the case that the incoming analog signal provided by analog front end 166 to modulator 156 has a relatively low carrier frequency, such as less than 1 GHz, then the multiplexed amplified sampling signal, when modulated by modulator 156, will not be folded. In such a case, aliasing in the sampling signal will not occur and the frequency of the received incoming signal can be determined. In this case, the integer coefficients in Equation (1 ) will be equal to zero.
Reference is now made to Figure 3B, which is a schematic illustration of one of the optical pulse generators of Figure 3At generally referenced 200, constructed and operative in accordance with a further embodiment of the disclosed technique. Optical pulse generator 200 is substantially similar to each one of optical pulse generators 150A (Figure 3A), 150B (Figure 3A) and 150C (Figure 3A). Optical pulse generator 200 includes a continuous wave laser 202, an electro-absorption modulator 204 and a comb generator 206. Electro-absorption modulator 204 is coupled with both continuous wave laser 202 and comb generator 206.
Electro-absorption 204 is also coupled with a multiplexer 208. Multiplexer 208 is substantially similar to multiplexer 152 (Figure 3A). Optical pulse generator 200 generates a train of optical pulses. Continuous wave laser 202 generates continuous wave laser light and provides the continuous wave laser light to electro-absorption modulator 204. The laser light generated by continuous wave laser 202 may be in the C-band, such as at a wavelength of 1550 nanometers. Continuous wave laser 202 may be any laser exhibiting low laser noise. Comb generator 206 generates a unique comb frequency, represented as an electrical signal. The comb frequency generated by comb generator 206, which is substantially a pulse train, should consist of optical pulses being as narrow and as accurate as possible. Ideally each optical pulse should be an impulse, although practically, a very narrow optical pulse is sufficient. In Figure 3A, each of optical pulse generators 150A (Figure 3A), 150B {Figure 3A) and 150C {Figure 3A) includes a respective comb generator. Each respective comb generators generates a unique comb frequency. The unique comb frequency generated by each respective comb generator enables signal analyzer 100 (Figure 2) to substantially anti-alias the incoming analog signal in the case that it is undersampled by analog optical sampler 106 (Figure 2). The comb frequency generated by comb generator 206 is in the lower GHz range, for example between 1-5 GHz. Comb generator 206 provides the generated comb frequency to electro-absorption modulator 204. Electro-absorption modulator 204 substantially modulates the continuous wave laser light of continuous wave laser 202 with the comb frequency generated by comb generator 206 to generate a train of optical pulses having a frequency substantially equivalent to the comb frequency of comb generator 206. Electro-absorption modulator 204 provides the train of optical pulses to multiplexer 208 which multiplexes the train of optical pulses with other optical pulse trains from other optical pulse generators (not shown), whereby each optical pulse train which is multiplexed has a unique frequency.
As mentioned above in Figure 3A, the optical pulse generators of the disclosed technique can be replaced by frequency generators. In such a case, optical pulse generator 200 (Figure 3B) is modified to be a frequency generator by replacing comb generator 206 with a plurality of frequency oscillators for generating a train of pulses (not shown). The plurality of frequency oscillators generates a set of frequencies to be provided to electro-absorption modulator 204. The frequency oscillators may also include a frequency combiner, capable of combining constant and alternating frequencies. The optical pulse generators of the disclosed technique, such as optical pulse generator 200 and optical pulse generators 150A, 150B and 150C (Figure 3A), can also be replaced by pulsed lasers.
Reference is now made to Figure 3C, which is a schematic illustration of the digital frequency analyzers of Figure 2, generally referenced 220, constructed and operative in accordance with another embodiment of the disclosed technique. Digital frequency analyzer 220 is equivalent to any one of digital frequency analyzers 108A, 108B and 108C (all from Figure 2). Digital frequency analyzer 220 is coupled with an analog optical sampler 221 and a processor 223. Analog optical sampler 221 is equivalent to analog optical sampler 106 (Figure 2) and processor 223 is equivalent to processor 110 {Figure 2). Digital frequency analyzer 220 includes a digital sampler 222, a logic layer 224 and a Fourier transformer 226. It is noted that digital frequency analyzer 220 may include a plurality of Fourier transformers (not shown). Digital sampler 222 may include at least one ADC (not shown). Logic layer 224 and Fourier transformer 226 can be embodied as a field-programmable gate array (herein abbreviated FPGA) 228. In the case of a plurality of Fourier transformers, logic layer 224 and the plurality of Fourier transformers can be embodied as an FPGA. FPGA 228 can also be embodied as a digital signal processor (herein abbreviated DSP) or an FPGA with a DSP. Digital sampler 222 can be embodied as a sampler having a sampling rate of 1 Gsps (giga sample per second) or higher. Digital sampler 222 is coupled with analog optical sampler 221 and with logic layer 224 in FPGA 228. Logic layer 224 is also coupled with Fourier transformer 226 and with processor 223. In the case of a plurality of Fourier transformers, logic layer 224 is coupled with each of the plurality of Fourier transformers. If digital frequency analyzer 220 does not include FPGA 228, then digital sampler 222 is either coupled with logic layer 224 or with logic layer 224 and with Fourier transformer 226. It is noted that arrow heads in Figure 3C represent the general flow of signals in digital frequency analyzer 220.
Digital sampler 222 receives a plurality of IF signals (not shown) from analog optical sampler 221. As mentioned above, the IF signals are electrical signals which were analog sampled. Digital sampler 222 digitally samples the IF signals at at least their Nyquist frequencies and outputs the digitally sampled signals as multiplexed fast serial communication signals. An example of such signals is low voltage differential signals (herein abbreviated LVDS). The multiplexed fast serial communication signals which are digitally sampled are then provided to logic layer 224 in FPGA 228. For example, the multiplexed LVDS digitally sampled signals are then provided to logic layer 224 in FPGA 228. Fourier transformer 226 receives the digitally sampled signals from logic layer 224 and executes an FFT on the digitally sampled signals to determine their discrete Fourier transforms (herein abbreviated DFT). It is noted that Fourier transformer 226 continuously executes an FFT on the digitally sampled signals it receives. Each DFT chunk determined is overlapped with the following DFT chunk to be determined by at least a predetermined amount. This predetermined amount may be for example 20%. This overlapping results in a smooth set of DFTs representing the digitally sampled signals. This overlapping can also be executed by using a plurality of Fourier transformers, wherein each Fourier transformer executes an FFT on a portion of the digitally sampled signals. Fourier transformer 226 provides a complete smooth set of DFTs, or at least a portion of the complete smooth set of DFTs back to logic layer 224 which provides them to processor 223. It is noted that logic layer 224 may manipulate the smooth set of DFTs before providing it to processor 223. For example, the manipulation may involve filtering DFT chunks from the DFT set which are below a predetermined amplitude. The manipulation may also include, for example, executing a process of peak picking which is used to dilute data, such as a set of DFTs or a portion of the set of DFTs, provided by logic layer 224 to processor 223. The process of peak picking enables a lower band width to be used by logic layer 224.
As shown in Figure 3C, instructions are provided by processor 223 to logic layer 224. These instructions may relate to the moving and ordering of data in logic layer 224 as well as the implementation of digital band reject filters in digital frequency analyzer 220, as described above in Figure 2, which in particular is implemented in logic layer 224. As described below in Figure 3D, processor 223 may provide a synchronization signal (not shown) to digital frequency analyzer 220. The signal analyzer of the disclosed technique includes at least two digital frequency analyzers, although as mentioned above, in some embodiments of the disclosed technique, a single digital frequency analyzer may suffice. According to the disclosed technique, the DFTs determined by each digital frequency analyzer may be synchronized. As such, processor 223 may provide a synchronization signal simultaneously to the logic layer of each digital frequency analyzer in order to synchronize the DFTs determined. In this respect, smooth DFT sets are provided to processor 223 by each digital frequency analyzer simultaneously.
Reference is now made to Figure 3D, which is a schematic illustration of the processor of Figure 2, generally referenced 230, constructed and operative in accordance with a further embodiment of the disclosed technique. Processor 230 is equivalent to processor 110 (Figure 2) and processor 223 (Figure 3C). Processor 230 includes a frequency determinator 232, a characteristics determinator 234 and a clock 236. Frequency determinator 232 is coupled with characteristics determinator 234 and with each digital frequency analyzer (not shown) of the signal analyzer of the disclosed technique, shown by an arrow 231. Clock 236 is coupled with each digital frequency analyzer (not shown) of the signal analyzer of the disclosed technique, shown by an arrow 233. In particular, clock 236 is coupled with the logic layer of each digital frequency analyzer. Also in particular, frequency determinator 232 is coupled with the logic layer of each digital frequency analyzer for receiving the smooth DFT sets described above in Figure 3C. It is noted that arrow heads in Figure 3D represent the general flow of signals in processor 230.
Clock 236 may provide a synchronization signal (not shown) to the logic layer in each digital frequency analyzer to synchronize the determination of the smooth sets of DFTs. Frequency determinator 232 receives a smooth set of DFTs from each digital frequency analyzer simultaneously. Based on the smooth set of DFTs, frequency determinator 232 un-aliases the smooth set of DFTs, using for example Equation (1 ), and determines the frequency of the incoming signals (not shown). As mentioned above in reference to Equation (1 ), if more than one linear combination is determined by the processor is also an integer multiple of another linear combination determined by the processor, then a plurality of simultaneous signals are present in the incoming signals. In such a case, frequency determinator 232 determines the frequencies of the simultaneously received incoming signals (not shown). Frequency determinator 232 provides the determined frequency or frequencies, as well as timing data, synchronization data, or both, to characteristics determinator 234 which determines other characteristics of the received incoming signals, as mentioned above. These other characteristics can include the pulse width, frequency spread, time of arrival, presence of another incoming signal received simultaneously, variations and modulations in amplitude, phase or frequency within and between individual pulses of the incoming signal, time of end, power level parameters relating to the received incoming signal and amplitude level parameters relating to the received signal. These characteristics are outputted by characteristics determinator 234 as a digital description 235. These characteristics are determined for each incoming signal (which may be a pulse or a continuous wave) independently, simultaneously and continuously as mentioned above.
Reference is now made to Figure 4, which is a schematic illustration showing a plurality of frequency diagrams of the signals generated by the analog optical sampler of Figure 3A, generally referenced 250, constructed and operative in accordance with another embodiment of the disclosed technique. Figure 4 includes frequency diagrams 252, 254, 256, 258, 260, 262, 264, 266 and 268. Each of frequency diagrams 252-268 shows signals, either received or generated, on a relative frequency scale. Frequency diagram 252 shows a signal 270. Signal 270 is the received incoming signal, which might be a pulse or a continuous wave (herein abbreviated CW) signal. The frequency of signal 270 is unknown and is determined according to the disclosed technique. As such, the frequency of signal 270 is not denoted in Figure 4. It is noted that this is unlike the case in known down-converters where the frequency or frequency band of an incoming signal must be known in order to properly down-convert the incoming signal into a selected processing band. Signal 270 is an example of incoming signals 1 12 (Figure 2) received by signal analyzer 100 (Figure 2). Signal 270 is an analog signal.
In general, an ideal optical pulse train in the time domain having a comb frequency of f1c can be represented as the sum of its harmonics. Therefore, in the frequency domain, such an ideal optical pulse train can be represented as an equivalent impulse train. Frequency diagram 254 shows an impulse train in the frequency domain which is substantially equivalent to the optical pulse train in the time domain generated by a first optical pulse generator, such as optical pulse generator 150A (Figure 3A). As shown, frequency diagram 254 shows a first train of impulses 272A generated at a comb frequency fic.
Frequency diagram 256 shows the impulse train in the frequency domain which is substantially equivalent to the optical pulse train in the time domain generated by a second optical pulse generator, such as optical pulse generator 150B (Figure 3A). As shown, frequency diagram 256 shows a second train of impulses 272B generated at a comb frequency f2c. As can be seen, f1c and f2o are in the same general band range but represent different comb frequencies. As mentioned above, at least two different comb frequencies are used to sample the incoming signal. In some embodiments of the disclosed technique a single comb frequency can be used to sample the incoming signal. As such, only the frequency diagram representations for two optical pulse trains are shown in Figure 4. It is obvious to the worker skilled in the art that more than two optical pulse trains can be used to analog sample the received signals which may enhance and improve the analog sampling of the received signals and any further processing executed on the received signal.
Frequency diagram 258 shows the frequency representation of the optical pulse trains generated by the first optical pulse generator and the second optical pulse generator multiplexed together as a multiplexed optical pulse train 274. For purposes of clarity, frequency diagram 258 shows only a part of the frequency representation. Frequency diagram 258 represents the output of a multiplexer, for example multiplexer 152 (Figure 3A). As shown, f1 c and f2c have a common baseband frequency, shown as a section 280 in Figure 4, such that they overlap at the baseband frequency. Frequency diagram 260 shows multiplexed impulse train 274 modulated by signal 270, which represents the incoming signal, thereby producing a multiplexed sampling signal 276. As mentioned above, the incoming signal is used to modulate the multiplexed optical pulse train. Frequency diagram 260 shows the output of a modulator, such as modulator 156 (Figure 3A). By modulating signal 270 over multiplexed impulse train 274, signal 270 is substantially folded over a plurality of frequencies and is not just down-converted to a baseband frequency as in prior art signal analyzers. In addition, once modulated, the discrete signals of multiplexed impulse train 274 are represented as a frequency band having a bandwidth equal to the bandwidth of signal 270 and not as a unique singular frequency. As can be seen at various integer multiples of f1c and f2c, the modulated optical pulse trains which form multiplexed sampling signal 276 overlap. Due to the sampling rate of comb frequencies f1c and f2c, if the bandwidth of pulse 270 is substantially larger than f c and f2c, then when it is used to modulate multiplexed impulse train 274, the signals generated will be aliased. This is shown more clearly in frequency diagrams 262 and 264.
Frequency diagram 262 shows multiplexed sampling signal 276 demultiplexed according to comb frequency f1c of the first optical pulse generator, thereby forming first demultiplexed signal 278A. As shown, first demultiplexed signal 278A is aliased as two images, with two images of the demultiplexed signal being present at each integer multiple of comb frequency f c. Frequency diagram 264 shows multiplexed sampling signal 276 demultiplexed according to comb frequency f2c of the second optical pulse generator, thereby forming second demultiplexed signal 278B. As shown, second demultiplexed signal 278B is aliased as two images, with two images of the demultiplexed signal being present at each integer multiple of comb frequency f2c. Frequency diagrams 262 and 264 show the output of a demultiplexer, such as demultiplexer 158 (Figure 3A). For example, the output of the demultiplexer represented in frequency diagram 262 may be provided to a first photodiode, such as photodiode 160A (Figure 3A), whereas the output of the demultiplexer represented in frequency diagram 264 may be provided to a second photodiode, such as photodiode 160B (Figure 3A). Frequency diagram 266 shows first demultiplexed signal 278A after it has passed through a low pass filter, such as low pass filter 162A (Figure 3A). As shown, passing first demultiplexed signal 278A through a low pass filter substantially eliminates the folded images of first demultiplexed signal 278A from -Nf c to Nf c, leaving only the baseband frequency image, shown as a folded first signal 282A. Frequency diagram 268 shows second demultiplexed signal 278B after it has passed through a low pass filter, such as low pass filter 162B (Figure 3A). As shown, passing second demultiplexed signal 278B through a low pass filter substantially eliminates the folded images of second demultiplexed signal 278B from -Nf2c to Nf2c, leaving only the baseband frequency image, shown as a folded second signal 282B. First folded signal 282A and second folded signal 282B are then provided to respective digital frequency analyzers (not shown) and a processor (not shown), which then anti-alias each folded signal and determine characteristics, such as the frequency, of the original signal (i.e., signal 270). In that multiplexed impulse train 274 is aliased to two different places at each integer multiple of f1c and f2c, shown as multiplexed sampling signal 276, anti-aliasing of first folded signal 282A and second folded signal 282B is possible via simple linear determinations.
Reference is now made to Figure 5, which is a schematic illustration of a method for analyzing a plurality of signals simultaneously, operative in accordance with a further embodiment of the disclosed technique. In a procedure 300, at least one signal is received or collected. The signal may be received, provided, collected or intercepted. The signal may include a plurality of signals received simultaneously. The signal may be a noise signal. The signal may have a wide frequency band. The signal is an analog signal. With reference to Figure 2, antenna 102 (Figure 2) receives incoming signals 112 (Figure 2). Incoming signals 1 12 may be received by antenna 102, collected by antenna 102, provided to antenna 102 or intercepted by antenna 102. Incoming signals 112 are signals, for example EM signals, having frequencies which fall in a wideband of frequency ranges. In a procedure 302, the at least one signal received is analog filtered. Analog filtering may include passing the at least one signal through a plurality of analog filters. With reference to Figure 2, antenna 102 (Figure 2) converts the received EM signals to analog electrical signals and provides the analog electrical signals to analog front end 104 (Figure 2). Analog front end 104 may also include various analog filters (not shown) for initially processing incoming signals 112 (Figure 2). In a procedure 304, the at least one signal received is analog processed. Analog processing may include at least one of amplifying weak signals, limiting strong signals and attenuating strong signals. With reference to Figure 2, analog front end 104 {Figure 2) may include at least one of an amplifier (not shown), for amplifying weak signals, a limiter (not shown), for limiting strong signals and an attenuator (not shown) for attenuating strong signals.
In a procedure 306, the received at least one signal is folded using at least two different comb frequencies simultaneously, thereby generating at least two intermediate frequency signals. Folding the received at least one signal by using at least two different comb frequencies simultaneously represents analog sampling the received at least one signal. The comb frequencies may be optical pulse trains. As explained above in Figures 2, 3A and 3B, the received at least one signal is folded by multiplexing at least two different comb frequencies simultaneously into a multiplexed signal and modulating the multiplexed signal with the received at least one signal. The modulated multiplexed signal is then demultiplexed according to the at least two different comb frequencies into at least two folded sampling signals. The folded sampling signals are converted into electrical signals. The at least two electrical signals are then low pass filtered to eliminate high frequency images of the at least two electrical signals, thereby generating the at least two intermediate frequency signals. The at least two electrical signals may optionally be amplified. With reference to Figure 2, analog optical sampler 106 (Figure 2) receives the analog electrical signals and folds each analog electrical signal using at least two different comb frequencies simultaneously. The different comb frequencies are multiplexed together to form a sampling signal. The multiplexed sampling signal is used to simultaneously sample the analog electrical signal at the different comb frequencies. Analog optical sampler 106 demultiplexes and converts the sampled analog electrical signal, according to the different comb frequencies, into at least two intermediate frequency (herein abbreviated IF) signals. The IF signals are electrical signals. Each electrical signal is outputted as a respective electrical signal having a unique intermediate frequency.
It is noted that each of procedures 302 and 304 are optional procedures and that after procedure 300, the method can proceed directly to procedure 306. It is also noted that after procedure 302, the method may proceed directly to procedure 306 and that after procedure 304, the method may proceed directly to procedure 306. Procedures 302 and 304 may also both be executed, in any order, before procedure 306 is executed.
In a procedure 308, each of the at least two intermediate frequency signals are digitally sampled. With reference to Figure 2, each one of digital frequency analyzers 108A {Figure 2), 108B (Figure 2) and 108C (Figure 2) substantially digitally samples a respective one of IFT 1 16A (Figure 2), IF2 116B (Figure 2) and IF3 1 16C (Figure 2). In a procedure 310, the sampled at least two intermediate frequency signals are digitally processed. With reference to Figure 2, each one of \F^ 116A (Figure 2), IF2 1 16B (Figure 2) and IF3 116C (Figure 2) is provided to a respective one of digital frequency analyzers 108A (Figure 2), 108B (Figure 2) and 108C (Figure 2). Each one of digital frequency analyzers 108A, 108B and 108C then processes a respective one of 116A, IF2 1 16B and IF3 116C using advanced digital processing techniques. A portion of the advanced processing techniques may use I F 1 16A, IF2 116B and IF3 1 16C prior to their sampling by digital frequency analyzers 108A, 108B and 108C, provided that 116A, IF2 116B and IF3 116C are in digital format. In a procedure 312, the sampled at least two IF signals are spectrally analyzed. Spectral analysis can include executing FFTs on the digitally sampled at least two IF signals, thereby determining at least two sets of DFTs. In each set of DFTs, each DFT chunk may overlap a neighboring DFT chunk by at least a predetermined amount. This predetermined amount may be for example 20%. It is noted that the spectral analysis may also define a predetermined threshold for amplitude such that DFT results in each set of DFTs below the predetermined threshold are discarded. With reference to Figure 2, each one of digital frequency analyzers 108A (Figure 2), 108B (Figure 2) and 108C (Figure 2) substantially samples and then spectrally analyzes a respective one of IFi 1 16A (Figure 2), IF2 1 16B (Figure 2) and IF3 1 16C (Figure 2). A portion of the advanced processing techniques may use the aforementioned sampled IF signals.
It is noted that procedures 310 and 312 can be executed simultaneously. In a procedure 314, each intermediate frequency signal is processed, thereby determining at least one characteristic of the received at least one signal. The digitally sampled and processed intermediate frequency signals from procedure 310, the digitally sampled and spectrally analyzed intermediate frequency signals from procedure 312, or both, may be processed in procedure 314. The processing may include determining linear combinations of the IF signals with respect to the at least two different comb frequencies used to fold the received at least one signal, using a modified version of Equation (1 ) according to the actual number of comb frequencies used, as described above. The processing may also include evaluating the determined linear combinations. Based on the processing, characteristics of the received at least one signal can be determined, such as its frequency, pulse width, amplitude, bandwidth, variations within the received signal and intrapulse data, such as frequency modulations and/or frequency modulation data, amplitude modulations and/or amplitude modulation data and phase modulations and/or phase modulation data, and the like, as well as how many signals were received simultaneously with the received at least one signal, if more than one signal was received simultaneously. With reference to Figure 2, according to the different comb frequencies used in analog optical sampler 1 06 (Figure 2) and their respective measured IF signal frequencies, processor 1 10 (Figure 2) determines various linear combinations of the different comb frequencies. The various linear combinations of the different comb frequencies may be determined after applying Fourier transforms to each of IF., 116A (Figure 2), IF2 1 16B (Figure 2) and IF3 116C (Figure 2). Processor 1 10 determines the frequency, or frequencies, of incoming signals 112 (Figure 2) by evaluating the various linear combinations determined. Processor 110 also determines if more than one incoming signal arrived at signal analyzer 100 (Figure 2) simultaneously as well as its characteristics.
It will be appreciated by persons skilled in the art that the disclosed technique is not limited to what has been particularly shown and described hereinabove. Rather the scope of the disclosed technique is defined only by the claims, which follow.

Claims (50)

1. CLAIMS System for collecting at least one signal simultaneously comprising: an analog sampler, for receiving said at least one signal as at least one analog electrical signal, for folding said at least one analog electrical signal using at least two different comb frequencies simultaneously into at least one sampled analog electrical signal and for demultiplexing said at least one sampled analog electrical signal into at least two respective intermediate frequency (IF) signals respectively according to said at least two different comb frequencies; at least two digital frequency analyzers, each respectively coupled with said analog sampler, each one of said at least two digital frequency analyzers for digitally sampling a respective one of said at least two respective IF signals into at least one respective digital signal and for spectrally analyzing said at least one respective digital signal; and a processor, coupled with each one of said at least two digital frequency analyzers, for determining a plurality of linear combinations of said at least two respective IF signals with respect to said at least two different comb frequencies used in said analog sampler and for determining at least one frequency of said at least one signal by evaluating said plurality of linear combinations of said at least two respective IF signals.
2. The system according to claim 1 , further comprising: a signal collector, for collecting said at least one signal and converting said at least one collected signal into said at least one analog electrical signal; and an analog front end, coupled with said signal collector and with said analog sampler. 03666IL
3. The system according to claim 1 , wherein said at least one signal is selected from the list consisting of: a wideband signal; a continuous wave signal; a pulsed signal; and a noise signal.
4. The system according to claim 1 , wherein a frequency range of said at least one signal is in the kilohertz to terahertz range.
5. The system according to claim 1 , wherein said at least one signal is selected from the list consisting of: an electrical signal; an electromagnetic signal; and an optical signal.
6. The system according to claim 2, wherein said signal collector is selected from the list consisting of: an antenna; a signal receiver; a probing device; a transducer; and a signal detector.
7. The system according to claim 1 , wherein said processor detects said at least one signal.
8. The system according to claim 2, said analog front end comprising at least one of: at least one amplifier, for amplifying said at least one signal; at least one limiter, for limiting said at least one signal; 03666IL at least one attenuator, for attenuating said at least one signal; and at least one analog filter, for initially processing said at least one signal.
9. The system according to claim 1 , wherein a sampling rate of said at least two different comb frequencies is in the low gigahertz range.
10. The system according to claim 1 , wherein said spectrally analyzing of said at least two digital frequency analyzers comprises advanced processing techniques.
11. 1 1. The system according to claim 1 , wherein each of said at least two digital frequency analyzers are intermediate frequency instantaneous spectrum analyzers.
12. The system according to claim 1 , wherein said processor determines said plurality of linear combinations according to ! ·€/, ± AC/,' = m■ Cf. ± ACfj = ISf wherein Cf and Cf respectively represent said at least two different comb frequencies, wherein ACy and A ; respectively represent a frequency of said at least one respective digital signal, wherein / and m represent integer coefficients, wherein / does not equal y , and wherein ISf represents said determined at least one frequency of said at least one signal.
13. The system according to claim 1 , wherein said processor determines a plurality of characteristics of said at least one signal based on said 0036661 L determined at least one frequency of said at least one signal and other data related to said at least one signal.
14. The system according to claim 3, wherein said processor outputs a digital description of said at least one signal, said digital description comprising said plurality of characteristics.
15. The system according to claim 13, wherein said plurality of characteristics is selected from the list consisting of: amplitude; frequency spread; pulse width; bandwidth; power level parameters; amplitude level parameters; variations within said at least one collected signal; frequency modulations; amplitude modulations; phase modulations; frequency modulation data; amplitude modulation data; phase modulation data; intrapulse data; and presence of at least another one of said at least one signal received simultaneously.
16. The system according to claim 13, wherein said other data is selected from the list consisting of: time of arrival of said at least one signal; and time of end of said at least one signal. 03666IL
17. The system according to claim 1 , wherein said analog sampler, said at least two digital frequency analyzers and said processor continuously operate in real-time.
18. The system according to claim 1 , wherein said analog sampler is a signal folder.
19. The system according to claim 1 , said analog sampler comprising: a plurality of optical pulse generators, for generating said at least two different comb frequencies; a multiplexer, coupled with each one of said plurality of optical pulse generators, for multiplexing said at least two different comb frequencies into a multiplexed sampling signal; a fiber amplifier, coupled with said multiplexer, for amplifying said multiplexed sampling signal; a modulator, coupled with said fiber amplifier and with said analog front end, for analog sampling said at least one signal with said multiplexed sampling signal, thereby generating at least one sampled analog optical signal; a demultiplexer, coupled with said modulator, for demultiplexing said at least one sampled analog optical signal according to respective wavelengths of said plurality of optical pulse generators; a respective plurality of photodiodes, each one of said respective plurality of photodiodes respectively coupled with said demultiplexer, for converting said at least one sampled analog optical signal into said at least one sampled analog electrical signal; a respective plurality of low pass filters, each one of said respective plurality of low pass filters coupled with a respective one of said respective plurality of photodiodes, for attenuating high frequencies in said at least one sampled analog electrical signal and generating said at least two respective IF signals; and 03666IL a respective plurality of amplifiers, each one of said respective plurality of amplifiers coupled with a respective one of said respective plurality of low pass filters and with a respective one of said at least two digital frequency analyzers, for amplifying said at least two respective IF signals, wherein each of said at least two different comb frequencies is an optical pulse train.
20. The system according to claim 19, wherein a pulse frequency of said optical pulse train is in the low gigahertz range.
21. The system according to claim 19, wherein said modulator is an optoelectronic modulator.
22. The system according to claim 19, wherein said at least one sampled analog electrical signal comprises at least one aliased signal.
23. The system according to claim 22, wherein said respective plurality of low pass filters substantially eliminate said at least one aliased signal outside a baseband frequency.
24. The system according to claim 19, each one of said plurality of optical pulse generators comprising: a continuous wave laser, for generating laser light; an electro-absorption modulator, coupled with said continuous wave laser and with said multiplexer; and a comb generator, coupled with said electro-absorption modulator, for generating a unique comb frequency, wherein said electro-absorption modulator substantially modulates said laser light with said unique comb frequency thereby generating said optical pulse train. 03666IL
25. The system according to claim 19, wherein an optical pulse in said optical pulse train is a very narrow optical pulse.
26. The system according to claim 19, wherein each one of said plurality of optical pulse generators is a pulsed laser.
27. The system according to claim 1 , said analog sampler comprising: a plurality of frequency generators, for generating said at least two different frequencies; a multiplexer, coupled with each one of said plurality of frequency generators, for multiplexing said at least two different frequencies into a multiplexed sampling signal; a fiber amplifier, coupled with said multiplexer, for amplifying said multiplexed sampling signal; a modulator, coupled with said fiber amplifier and with said analog front end, for analog sampling said at least one signal with said multiplexed sampling signal, thereby generating at least one sampled analog optical signal; a demultiplexer, coupled with said modulator, for demultiplexing said at least one sampled analog optical signal according to respective frequencies of said plurality of frequency generators; a respective plurality of photodiodes, each one of said respective plurality of photodiodes respectively coupled with said demultiplexer, for converting said at least one sampled analog optical signal into said at least one sampled analog electrical signal; a respective plurality of low pass filters, each one of said respective plurality of low pass filters coupled with a respective one of said respective plurality of photodiodes, for attenuating high frequencies in said at least one sampled analog electrical signal and generating said at least two respective IF signals; and L a respective plurality of ampiifiers, each one of said respective plurality of amplifiers coupled with a respective one of said respective plurality of low pass filters and with a respective one of said at least two digital frequency analyzers, for amplifying said at least two respective IF signals, wherein each of said at least two different frequencies is a pulse train.
28. The system according to claim 27, each one of said plurality of frequency generators comprising: a continuous wave laser, for generating laser light; an electro-absorption modulator, coupled with said continuous wave laser and with said multiplexer; a frequency combiner, coupled with said electro-absorption modulator; and a plurality of frequency oscillators, coupled with said frequency combiner, for generating a plurality of frequencies, wherein said frequency combiner combines said plurality of frequencies, wherein said electro-absorption modulator substantially modulates said laser light with said plurality of frequencies thereby generating said pulse train.
29. The system according to claim 1 , each one of said at least two digital frequency analyzers comprising: a digital sampler, coupled with said analog sampler, for digitally sampling said respective one said at least two respective IF signals as respective multiplexed fast serial communication signals; a logic layer, coupled with said digital sampler and with said processor; and 03666IL at least one Fourier transformer, coupled with said logic layer, for determining a plurality of discrete Fourier transforms (DFTs) of said fast serial communication signals, wherein said plurality of DFTs is comprised of a plurality of discrete Fourier transform (DFT) chunks, wherein a given one of said DFT chunks overlaps a subsequent one of said DFT chunks by at least a predetermined amount, and wherein said logic layer filters said plurality of DFT chunks.
30. The system according to claim 29, said digital sampler comprising an analog-to-digital converter.
31. The system according to claim 29, wherein said logic layer and said at least one Fourier transformer are a field-programmable gate array (FPGA).
32. The system according to claim 31 , wherein said FPGA is a digital signal processor.
33. The system according to claim 29, wherein said digital sampler has a sampling rate of at least 1 giga sample per second.
34. The system according to claim 29, wherein said plurality of DFTs determined in each one of said at least two digital frequency analyzers is determined synchronously.
35. The system according to claim 29, wherein said processor implements a plurality of digital band reject filters in each of said at least two digital frequency analyzers. 03666IL
36. The system according to claim 29, where said logic layer dilutes said plurality of DFTs by a process of peak picking.
37. The system according to claim 29, said processor comprising: a frequency determinator, coupled with said logic layer, for receiving and un-aliasing said filtered plurality of DFT chunks and for determining said at least one frequency of said at least one signal; a characteristics determinator, coupled with said frequency determinator, for determining a plurality of characteristics of said at least one signal; and a clock, coupled with said logic layer, for providing a synchronization signal to said logic layer for synchronizing said at least one Fourier transformer.
38. The system according to claim 37, wherein said characteristics determinator outputs said determined plurality of characteristics as a digital description.
39. The system according to claim 1 , wherein a frequency of said at least one signal is known a priori.
40. The system according to claim 1 , wherein a frequency of said at least one signal is not known a priori.
41. System for collecting at least one signal simultaneously, a frequency of said at least one signal being within a defined intermediate frequency (IF) band, comprising: an analog sampler, for receiving said at least one signal as at least one analog electrical signal, for folding said at least one analog electrical signal using at least one comb frequency into at least one sampled analog electrical signal and for converting said at least one sampled analog electrical signal into at least one respective IF signal according to said at least one comb frequency; at least one digital frequency analyzer, coupled with said analog sampler, said at least one digital frequency analyzer for digitally sampling said at least one respective IF signal into at least one respective digital signal and for spectrally analyzing said at least one respective digital signal; and a processor, coupled with said at least one digital frequency analyzer, for determining a plurality of linear combinations of said at least one respective IF signal with respect to said at least one comb frequency used in said analog sampler and for determining at least one frequency of said at least one signal by evaluating said plurality of linear combinations of said at least one respective IF signal, wherein said at least one respective IF signal has a frequency within said IF band.
42. The system according to claim 41 , further comprising: a signal collector, for collecting said at least one signal and converting said at least one collected signal into said at least one analog electrical signal; and an analog front end, coupled with said signal collector and with said analog sampler.
43. The system according to claim 41 , said analog sampler further comprising: an optical pulse generator, for generating said at least one comb frequency; a fiber amplifier, coupled with said optical pulse generator, for amplifying said at least one comb frequency; a modulator, coupled with said fiber amplifier and with said analog front end, for analog sampling said at least one signal with 03666IL said at least one comb frequency, thereby generating at least one sampled analog optical signal; a photodiode, coupled with said modulator, for converting said at least one sampled analog optical signal into said at least one sampled analog electrical signal; a low pass filter, coupled with said photodiode, for attenuating high frequencies in said at least one sampled analog electrical signal and generating said at least one respective IF signal; and an amplifier, coupled with said low pass filter and with said at least one digital frequency analyzer, for amplifying said at least one respective IF signal, wherein said at least one comb frequency is an optical pulse train.
44. Method for collecting at least one signal simultaneously comprising the procedures of: collecting at least one signal; folding said collected at least one signal using at least two different comb frequencies simultaneously, thereby generating at least two respective intermediate frequency (IF) signals; digitally sampling each one of said at least two respective IF signals, thereby generating at least two respective sampled IF signals; spectrally analyzing said at least two respective sampled IF signals; and processing each one of said at least two respective sampled IF signals, thereby determining at least one characteristic of said collected at least one signal.
45. The method according to claim 44, further comprising the procedures of: 03666IL analog filtering said collected at least one signal; and analog processing said collected at least one signal.
46. The method according to claim 44, wherein said procedure of folding comprises the sub-procedures of: multiplexing said at least two different comb frequencies simultaneously into a multiplexed signal; modulating said multiplexed signal with said collected at least one signal; demultiplexing said modulated multiplexed signal according to said at least two different comb frequencies into at least two folded sampling signals; converting said at least two folded sampling signals into at least two electrical signals; and low pass filtering said at least two electrical signals, thereby eliminating high frequency images of said at least two electrical signals and generating said at least two respective IF signals.
47. The method according to claim 44, wherein said procedure of spectrally analyzing comprises the sub-procedure of executing a plurality of fast Fourier transforms on said at least two respective sampled IF signals, thereby determining at least two sets of discrete Fourier transforms (DFTs), wherein each one of said two sets of DFTs comprises a plurality of discrete Fourier transform (DFT) chunks, and wherein a given one of said plurality of DFT chunks overlaps a subsequent one of said plurality of DFT chunks by at least a predetermined amount.
48. The method according to claim 44, wherein said procedure of processing comprises the sub-procedures of: 03666IL determining a plurality of linear combinations of said at least two different comb frequencies used in said procedure of folding; and evaluating said plurality of linear combinations, thereby determining at least one frequency of said collected at least one signal.
49. The method according to claim 44, further comprising the procedure of digitally processing said at least two respective sampled IF signals after said procedure of digitally sampling each one of said at least two respective IF signals.
50. Method for collecting at least one signal simultaneously comprising the procedures of: collecting at least one signal; folding said collected at least one signal using at least two different comb frequencies simultaneously, thereby generating at least two respective intermediate frequency (IF) signals; digitally sampling each one of said at least two respective IF signals, thereby generating at least two respective sampled IF signals; digitally processing said at least two respective sampled IF signals; and processing each one of said at least two respective sampled IF signals, thereby determining at least one characteristic of said collected at least one signal. Agent for the Applicant, Advocate & Patent Attorney 03666IL ABSTRACT System for collecting at least one signal simultaneously including an analog sampler, at least two digital frequency analyzers (DFAs) and a processor, the DFAs each respectively coupled with the analog sampler, the processor coupled with each one of the DFAs, the analog sampler for receiving the signal as at least one analog electrical signal, for folding the analog electrical signal using at least two different comb frequencies simultaneously into at least one sampled analog electrical signal and for demultiplexing the sampled analog electrical signal into at least two respective intermediate frequency (IF) signals respectively according to the different comb frequencies, each one of the DFAs for digitally sampling a respective one of the respective IF signals into at least one respective digital signal and for spectrally analyzing the respective digital signal, the processor for determining a plurality of linear combinations of the respective IF signals with respect to the different comb frequencies used in the analog sampler and for determining at least one frequency of the signal by evaluating the plurality of linear combinations of the respective IF signals.
IL208735A 2010-10-14 2010-10-14 Wideband signal analyzer IL208735A (en)

Priority Applications (6)

Application Number Priority Date Filing Date Title
IL208735A IL208735A (en) 2010-10-14 2010-10-14 Wideband signal analyzer
IL212220A IL212220A (en) 2010-10-14 2011-04-07 Wideband signal analyzer
SG10201508247PA SG10201508247PA (en) 2010-10-14 2011-10-10 Wideband signal anlayzer
CA2814461A CA2814461C (en) 2010-10-14 2011-10-10 Wideband signal analyzer
PCT/IL2011/000805 WO2012049680A1 (en) 2010-10-14 2011-10-10 Wideband signal analyzer
SG2013027123A SG189876A1 (en) 2010-10-14 2011-10-10 Wideband signal analyzer

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
IL208735A IL208735A (en) 2010-10-14 2010-10-14 Wideband signal analyzer

Publications (2)

Publication Number Publication Date
IL208735A0 IL208735A0 (en) 2010-12-30
IL208735A true IL208735A (en) 2013-12-31

Family

ID=43570291

Family Applications (2)

Application Number Title Priority Date Filing Date
IL208735A IL208735A (en) 2010-10-14 2010-10-14 Wideband signal analyzer
IL212220A IL212220A (en) 2010-10-14 2011-04-07 Wideband signal analyzer

Family Applications After (1)

Application Number Title Priority Date Filing Date
IL212220A IL212220A (en) 2010-10-14 2011-04-07 Wideband signal analyzer

Country Status (4)

Country Link
CA (1) CA2814461C (en)
IL (2) IL208735A (en)
SG (2) SG189876A1 (en)
WO (1) WO2012049680A1 (en)

Families Citing this family (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106980045A (en) * 2017-05-12 2017-07-25 北京航空航天大学 A kind of high-frequency electromagnetic signal time-frequency characteristic measuring system and method
US10863518B2 (en) * 2017-11-22 2020-12-08 Mediatek Inc. Method for handling interference in Bluetooth device having other wireless technology
AU2019230458B2 (en) * 2018-03-08 2020-10-08 Jehmy Pty Ltd A high sensitivity and selectivity real-time spectrum analyser
CN110702985B (en) * 2018-07-09 2020-07-07 中国科学院半导体研究所 Beat frequency type frequency spectrum detecting system
US11313930B1 (en) 2020-11-13 2022-04-26 Rohde & Schwarz Gmbh & Co. Kg Alternation pulsed double resonance detection scheme for gapless detection in atomic vapor quantum sensors
RU2761983C2 (en) * 2021-04-16 2021-12-14 Акционерное общество "Научно-исследовательский институт "Вектор" (АО "НИИ "Вектор") Method for determining frequencies of multiple signals in subsampling receiver

Family Cites Families (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5162723A (en) * 1991-02-11 1992-11-10 Hewlett-Packard Company Sampling signal analyzer
US6185248B1 (en) * 1998-03-12 2001-02-06 Northrop Grumman Corporation Wideband digital microwave receiver
US6242899B1 (en) * 1998-06-13 2001-06-05 Lecroy Corporation Waveform translator for DC to 75 GHz oscillography
US7269354B1 (en) 2002-10-23 2007-09-11 Lockheed Martin Corporation Superheterodyne photonic receiver using non-serial frequency translation
WO2004038432A2 (en) * 2002-10-24 2004-05-06 Lecroy Corporation High bandwidth real time oscilloscope
GB2403554A (en) * 2003-06-30 2005-01-05 Roke Manor Research Method and apparatus for measuring electromagnetic emissions
JP3962785B2 (en) * 2003-07-02 2007-08-22 テクトロニクス・インターナショナル・セールス・ゲーエムベーハー Signal analyzer and frequency domain data generation method
US7489745B2 (en) 2005-10-11 2009-02-10 L-3 Communications Integrated Systems L.P. Reconfigurable direct RF bandpass sampling receiver and related methods
US7436912B2 (en) 2005-10-11 2008-10-14 L-3 Communications Integrated Systems L.P. Nyquist folded bandpass sampling receivers and related methods
EP2282220A1 (en) * 2009-08-07 2011-02-09 Nxp B.V. Spectrum analysis

Also Published As

Publication number Publication date
SG189876A1 (en) 2013-06-28
WO2012049680A4 (en) 2012-07-19
CA2814461C (en) 2016-06-28
SG10201508247PA (en) 2015-11-27
CA2814461A1 (en) 2012-04-19
IL208735A0 (en) 2010-12-30
IL212220A0 (en) 2011-06-30
WO2012049680A1 (en) 2012-04-19
IL212220A (en) 2015-04-30

Similar Documents

Publication Publication Date Title
JP7322212B2 (en) Interference Detection in Frequency Modulated Continuous Wave (FMCW) Radar Systems
CA2814461C (en) Wideband signal analyzer
US7436912B2 (en) Nyquist folded bandpass sampling receivers and related methods
EP2960660B1 (en) Phase noise correction system for discrete time signal processing
Davenport et al. A wideband compressive radio receiver
TW201427347A (en) Apparatus for low complexity sub-nyquist sampling of sparse wideband signals
US20100002777A1 (en) Systems and methods for construction of time-frequency surfaces and detection of signals
US8401050B1 (en) Multiple projection sampling for RF sampling receivers
WO2017223149A1 (en) Single-shot network analyzer (sina)
WO2016049052A1 (en) System and method for broadband signal disambiguation based on sub-sampled analog optical links employing sample rate modulation
D'Apuzzo et al. Sampling and time–interleaving strategies to extend high speed digitizers bandwidth
GB2407875A (en) Noise measurement system and method
WO2020190950A1 (en) Photonic monobit analog-to-digital converter using coherent detection
Feldster et al. Optical under-sampling and reconstruction of several bandwidth-limited signals
CN115567125A (en) Multichannel calibration and signal coherent recovery method and device for broadband channelization reception
Singh et al. Demonstration of sub-nyquist photonic sampled analog-to-digital converter for s-band radar systems
Guo et al. Photonics-assisted compressive sampling system for wideband spectrum sensing
AU2016349290A1 (en) Signal extraction systems and methods
CN110535469A (en) Signal processing method and device
CN110940857A (en) Spectrum parameter detection method
Zhang et al. A 3 Giga Sample Per Second 14-bit Digital Receiver with 9 GHz Input Bandwidth for Solar Radio Observation
Kong et al. Quick signal detection and dynamic resource allocation scheme for ultra-wideband radar
Onori et al. A Microwave Photonic Radar Warning Receiver based on Deep Compressed Sensing
Szadkowski RFI filtering in AERA radio-detection of cosmic rays
RU188320U1 (en) DIGITAL DEVICE FOR ISOLATING NARROWBAND SIGNALS FROM WIDEBAND

Legal Events

Date Code Title Description
FF Patent granted
KB Patent renewed
KB Patent renewed
KB Patent renewed