US20150249560A1 - System and method for fsk demodulation - Google Patents
System and method for fsk demodulation Download PDFInfo
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- US20150249560A1 US20150249560A1 US14/193,189 US201414193189A US2015249560A1 US 20150249560 A1 US20150249560 A1 US 20150249560A1 US 201414193189 A US201414193189 A US 201414193189A US 2015249560 A1 US2015249560 A1 US 2015249560A1
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
- H04W4/80—Services using short range communication, e.g. near-field communication [NFC], radio-frequency identification [RFID] or low energy communication
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L27/00—Modulated-carrier systems
- H04L27/10—Frequency-modulated carrier systems, i.e. using frequency-shift keying
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L27/00—Modulated-carrier systems
- H04L27/0008—Modulated-carrier systems arrangements for allowing a transmitter or receiver to use more than one type of modulation
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L27/00—Modulated-carrier systems
- H04L27/10—Frequency-modulated carrier systems, i.e. using frequency-shift keying
- H04L27/106—M-ary FSK
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L27/00—Modulated-carrier systems
- H04L27/10—Frequency-modulated carrier systems, i.e. using frequency-shift keying
- H04L27/14—Demodulator circuits; Receiver circuits
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L27/00—Modulated-carrier systems
- H04L27/10—Frequency-modulated carrier systems, i.e. using frequency-shift keying
- H04L27/14—Demodulator circuits; Receiver circuits
- H04L27/144—Demodulator circuits; Receiver circuits with demodulation using spectral properties of the received signal, e.g. by using frequency selective- or frequency sensitive elements
- H04L27/148—Demodulator circuits; Receiver circuits with demodulation using spectral properties of the received signal, e.g. by using frequency selective- or frequency sensitive elements using filters, including PLL-type filters
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- H04W4/008—
Abstract
Description
- Embodiments of the inventive subject matter relate to the field of the demodulation of frequency modulated signals and more specifically to systems and methods for a frequency-selective demodulation of frequency modulated signals.
- When transmitting data from one device to another, either using a wired communication link or a wireless link, the data must be transformed into a suitable signal form for being transmitted via the communication link. In this case of wireless communications, this involves inserting the data to be transmitted onto a carrier signal that can then be transmitted using the wireless link. After the encoded data signal has been received by the second device, the signal is down-converted and the modulated data is “demodulated”, i.e. removed from the carrier signal and converted into a suitable form for use.
- Devices capable of communicating with other devices via a particular modulation technique each include a modulator and/or a demodulator, which is particularly designed for modulating/demodulating data according to the particular modulation technique. For example, a modem device may include both a modulator and a demodulator. The modulators and demodulators for different modulation techniques can differ considerably from each other.
- More and more devices are designed to communicate with each other using various types of wireless communication techniques. The operation of these different wireless technologies is often governed by standards. Examples standards include those specifying the operation of IEEE 802.11 networks, and BLUETOOTH communication protocols.
- In all demodulation techniques it is preferable to increase receiver sensitivity to improve demodulation capabilities. As sensitivity increases, signals having lower signal level magnitudes can be successfully received and decoded while meeting a required minimum packet error rate (PER) or bit error rate (BER) performance metric. These improvements may allow for lower-power transmitters to be utilized in a given application or increases in transmission rate between devices, or combinations thereof.
- The accompanying figures, in which like reference numerals refer to identical or functionally similar elements throughout the separate views and which together with the detailed description below are incorporated in and form part of the specification, serve to further illustrate various embodiments and to explain various principles and advantages all in accordance with the present inventive subject matter.
-
FIG. 1 depicts elements of a communication system. -
FIG. 2 is a block diagram illustrating an estimator that may be utilized in the present demodulation system. -
FIGS. 3A-3C illustrate example tap coefficients that may be utilized in a correlator to detect the real or imaginary parts of a particular input signal. -
FIG. 4 illustrates a demodulator for a 2-FSK-modulated signal configured in accordance with the present disclosure. -
FIG. 5 illustrates a demodulator for a 4-FSK-modulated signal configured in accordance with the present disclosure. -
FIG. 6 is a block diagram of a demodulator showing functional components configured to demodulate multiple symbols. -
FIG. 7 is a graph depicting simulation results for a demodulator configured in accordance with the present disclosure and conventional demodulators. - In overview, the present disclosure describes embodiments of the inventive subject matter that relate to the field of the demodulation of modulated signals and more specifically to systems and methods for frequency-selective demodulation of frequency modulated signals.
- The instant disclosure is provided to further explain in an enabling fashion the best modes, at the time of the application, of making and using various embodiments in accordance with the present invention. The disclosure is further offered to enhance an understanding and appreciation for the inventive principles and advantages thereof, rather than to limit in any manner the scope of the invention.
- It is further understood that the use of relational terms, if any, such as first and second, top and bottom, and the like are used solely to distinguish one entity or action from another without necessarily requiring or implying any actual such relationship or order between such entities or actions.
- Much of the inventive functionality and many of the inventive principles are best implemented with or in integrated circuits (ICs) including possibly application specific ICs or ICs with integrated processing or control or other structures. It is expected that one of ordinary skill, notwithstanding possibly significant effort and many design choices motivated by, for example, available time, current technology, and economic considerations, when guided by the concepts and principles disclosed herein will be readily capable of generating such ICs and structures with minimal experimentation. Therefore, in the interest of brevity and minimization of any risk of obscuring the principles and concepts according to below-described embodiments of the present invention, further discussion of such structures and ICs, if any, will be limited to the essentials with respect to the principles and concepts of the various embodiments.
- Referring now to
FIG. 1 , elements typically used for communicating digital data between two devices are illustrated. InFIG. 1 ,transmitter 100 includessource coder 102,channel coder 104,modulator 106, up-converter 108, andpower amplifier 110.Receiver 112 includeslow noise amplifier 114, down-converter 116,demodulator 118,channel decoder 120, andsource decoder 122. - In operation, the data to be transmitted is provided, in a suitable digital form, to source coder 102 (e.g. a voice codec, or an image codec). The output of
source coder 102 is generally a binary data stream.Channel coder 104 process the data outputted bysource coder 102 such that channel errors can be detected and/or corrected at the receiver. Commonly, this is achieved bychannel coder 104 adding redundancy bits, which enables the receiver to detect and/or correct possible errors. -
Modulator 106 transforms the data processed bychannel coder 104 into an analog form suitable for transmission. Digital modulation can usually be divided into two parts: (1) digital processing of the incoming bit stream; and (2) converting the resulting processed data into an analog form, for transmission, for example, via a wireless medium. - In up-
converter 108 the data is translated to the frequency in which bandwidth has been allocated for the transmission, and the output original strength is subsequently enhanced inpower amplifier 110 such that the power is sufficient to transmit the data to the receiving device. The resultant signal can then be transmitted by supplying the signal to an antenna connected topower amplifier 110. - At
receiver 112, the data received is received at an antenna connected tolow noise amplifier 114. The received signal is then amplified bylow noise amplifier 114. This amplification step can be useful as the data signal may have been attenuated through the transmission of the signal from one device to another. The received signal is therefore enhanced inlow noise amplifier 114 such that it is at a level suitable for further handling by the following elements of thereceiver 112. -
Down converter 116 then moves the data signals from their allocated transmission bandwidth to a predetermined baseband. Indemodulator 118, the process of modulation carried out intransmitter 100 is reversed to convert the received signal back into its original digital form. - In
channel decoder 120, errors that occurred during transmission of the data via the transmission channel are detected and corrected. The output fromchannel decoder 120 is then brought into a form required by the point of reception insource decoder 122. - Modulation and demodulation schemes are often defined in standards associated with particular wireless communication technologies. In frequency modulation approaches, for examples, changes in the frequency of a transmitted signal are used to communication information. For transmissions made in accordance with the BLUETOOTH standard, techniques such as frequency shift keying (FSK) and Gaussian frequency shift keying (GFSK) are used to modulate and demodulate transmitted data signals.
- In FSK, a particular carrier frequency may be defined. For example, the carrier frequency of BLUETOOTH communications (e.g., BLUETOOTH low energy transmission) may be around 2.4 gigahertz (GHz). A data value of ‘1’ is then represented by the transmission of a signal (sometimes referred to as the mark signal) having a frequency that exceeds the carrier frequency by some amount (fm). Conversely, a data value of ‘0’ is represented by the transmission of a signal (sometimes referred to as the space signal) having a frequency that is less than the carrier frequency by some amount. In some implementations, the frequency shift of the space signal away from the carrier frequency is the same in magnitude as the shift of the mark signal above the carrier frequency. In such as case, the space signal may be referred to as having a frequency of −fm, representing a signal having a frequency less than that of the carrier frequency by the magnitude of fm. In many cases, FSK transmissions utilize a voltage-controlled oscillator (VCO) to generate the signals having frequencies f1 and −f1, where the frequency of the oscillator is controlled by the inputted bit signal.
- Different FSK techniques can be used to modulate different amounts of input data. For example, in 2-FSK systems, two frequencies are defined (e.g., fm and −fm) where each frequency represents a different binary value. In 4-FSK systems, four frequencies (e.g., −fm2, −fm1, fm1, fm2) are defined where each frequency shift represents a different data value. In this manner 8-FSK, 16-FSK, and the like can be implemented to transmit varying amount of data.
- In all FSK transmissions, fast frequency transitions can occur as the input data switches sharply between binary values. As such, an FSK-encoded signal may constitute a large bandwidth signal. To minimize the bandwidth of the encoded signals, some systems utilize a Gaussian filter that may be applied to the signal that is ultimately encoded using FSK techniques. This modulation technique is referred to as GFSK and can be used in conjunction with FSK implementations. GFSK modulation is generally similar to FSK modulation, except that before the data signals (e.g., having binary values of 0 and 1) are transmitted into the FSK modulator, the data signal is passed through a Gaussian filter. This results in a smoother input signal to the FSK modulator, thereby reducing the resulting bandwidth or spectral width of the modulated signal. GFSK modulation schemes are all forms of continuous-phase frequency shift keying (CPFSK).
- The present system provides for the improved demodulation of transmitted signals, such as 2-, 4-, 8-, or other modulo2-FSK or GFSK-modulated signals, minimum shift keying (MSK)-modulated signals, Gaussian minimum shift keying (GMSK)-modulated signals, or offset quadrature phase-shift keying (OQPSK)-modulated signals with minimum additional complexity as compared to conventional demodulation methods such as phase discrimination, energy detection, or frequency modulation (FM) to amplitude conversion.
- The present demodulator uses a number of separate programmable estimator or correlator branches. Each estimator is configured to analyze an input signal to detect potential data signals at particular frequencies. The outputs of each estimator are then combined and compared to make a final signal detection determination.
-
FIG. 2 is a block diagram illustrating an estimator that may be utilized in the present demodulation system.Estimator 200 includes aninput 202 for receiving an input. The input signal is a digital time domain signal (e.g., a signal received from downconverter 116 ofFIG. 1 ), potentially containing a modulated data signal made up of one or more data symbols. In one implementation, the data has been modulated using FSK or GFSK modulation techniques. The input signal has a known data rate, such as 1 mega bits per second, at which data symbols have been encoded into the input signal. - After being received at
input 202, the input signal is split into real 204 and imaginary 206 components that are then supplied into a number ofcorrelators - Each of
correlators - Each correlator is configured to process its respective input signal at a particular rate, referred to as the oversampling rate. Oversampling refers to the process of sampling an input signal at a sampling frequency that is significantly higher than the frequency of the input signal. The oversampling ratio is the ratio of the sampling frequency to the signal frequency. Generally, the oversampling ratio at least partially determines the number of taps and corresponding tap coefficients in a given correlator (or, conversely, the number of taps (and, therefore, coefficients) for a particular correlator can determine the oversampling ratio). In the case of 8 taps, an input signal having a known data rate of 1 Mhz would be processed by each correlator at a rate of 8 MHz and an oversampling ratio of 8. This is at least partially achieved by causing each of the taps to delay the input signal by a particular time period as the input signal passes through each tap. In some implementations, the sampling rate of each correlator can be adjusted to determine the number of taps and corresponding tap coefficients. As such, the oversampling ratio and the clock rate at which each correlator operates (determining the sampling rate) can be used to control the frequency resolution of the estimator.
- Each one of the 8 taps making up each of
correlators correlators correlators estimator 200. For example, a high value could indicate that the target signal has been detected, while a low value may indicate that the target signal has not been detected. - In the present system,
estimator 200 is configured to detect an FSK or GFSK signal transmitted at a particular frequency. When attempting to detect signals having a particular frequency, it is possible to specify the coefficients for each of the taps in each ofcorrelators - In addition to being configured to detect a particular signal corresponding to one or more data symbols, the coefficients of each of
correlators - To illustrate the potential tap coefficients for a given correlator,
FIG. 3A shows example tap coefficients that may be utilized incorrelators - Although the coefficients illustrated in
FIG. 3A only vary between the values of −1, 0, and 1, different sets of coefficients may be specified that provide higher fidelity and can take an increased number of values. For example, the coefficients may vary between the values −3, −2, −1, 0, 1, 2, and 3, or other sets of coefficient values, as needed. As the number of potential coefficient values increases, there is generally a trade-off between the co-efficient bit-width and the frequency-domain resolution of the estimator branches. Generally, the number and quantization of coefficient values (i.e., the number of potential coefficient values) is selected to target a particular frequency resolution capability. In the case of narrowband signals, for example, a higher resolution may be desired in which case the number of potential coefficient values is increased, thereby increasing resolution. - For example,
FIG. 3B shows alternative coefficients that may be utilized incorrelators - Similarly,
FIG. 3C shows alternative coefficients that may be utilized incorrelators - As illustrated by
FIGS. 3A-3C , different set of coefficient values can be generated to detect FSK or GFSK-encoded signals at different frequencies. Because each correlator within the present demodulator processes input data at a specific rate, as the target frequency being detected increases, the coefficients change more frequently along the horizontal axis. Conversely, as the target frequency being detected decreases, the coefficients change less frequently along the horizontal axis. - In general, for a given target frequency, the coefficients for a particular correlator are configured to approximate the shape of the waveform that would be observed by the correlator upon receiving a signal at that frequency. Accordingly, as the number of potential coefficients increases, the resolution of the correlators will also increase.
- Returning to
FIG. 2 , coefficients for a particular signal frequency are allocated to each tap incorrelators correlators correlators - As the input signal flows through each of
correlators - The outputs of
correlators 208 and 210 (representing the real and imaginary components of thereal portion 204 of the input signal, respectively) are then summed together atnode 216. The output ofnode 216 is then multiplied with itself atnode 218 to generate a value equal to the output ofnode 216 squared. The outputs ofcorrelators 212 and 214 (representing the real and imaginary components of theimaginary portion 206 of the input signal, respectively) are then summed together atnode 220. The output ofnode 220 is then multiplied with itself atnode 222 to generate a value equal to the output ofnode 220 squared. The outputs ofnodes estimator 200. In this implementation, the squaring function provided bynodes nodes - The output of
estimator 200 is a high value (e.g., ‘1’) when a signal matching the frequency dictated by the tap coefficients of each of the correlators ofestimator 200 has been detected. If no such signal is detected, then the output ofestimator 200 is a low value (e.g., ‘0’). - The operation of
estimator 200 can be generalized according to the following equations. Assuming that the input signal toestimator 200 is defined as I[n]+jQ[n], where n represents the current time slice of the input signal being analyzed. The output ofestimator 200 is defined as E[n]. Given those definitions, the output ofestimator 200 is defined as follows: -
- In equation (1), N is the over sampling rate for the estimator's correlators (e.g., 8), while j=√{square root over (−1)}. REC refers to the output of the correlators for the real part of the input signal (e.g.,
correlators 208 and 214), while IEC refers to the output of the correlators for the imaginary part of the input signal (e.g.,correlators 210 and 212). - The cross-product in equation (1) can be expanded to generate equation (2):
-
- Equation (2) is translated into equation (3)
-
- Referring to Equation (3), the value
-
- can be summarized as X[n], while the value
-
- can be summarized as Y[n].
- Finally, as shown by the sequence of equations below, equation (3) can be further simplified so that the output of
estimator 200 is normalized to X2[n]+Y2[n]. This result is reflected in the operation ofnodes estimator 200, as discussed above. -
E[n]=(abs(X[n]+jY[n]))2=(√{square root over (X 2 [n]+Y 2 [n])})2 =X 2 [n]+Y 2 [n] Equation (4) -
Estimator 200 is therefore configured to analyze an input signal and determine whether the real and imaginary components of that input signal include a component having a particular frequency. The frequency being detected is dictated by the arrangement of coefficients in each of the taps making up each correlator ofestimator 200 as well as the oversampling rate of each correlator. Accordingly, in modulation/demodulation schemes that encode data in the form of a transmitted signal having a particular frequency,estimator 200 can be used to detect whether a signal having a particular frequency has been received. - As discussed above, in one FSK/GFSK approach, two frequency values (referred to herein as the primary frequencies) are used, one indicating a first value (e.g., a binary value of “1”) and another indicating a second value (e.g., a binary value of “0”). By modulating the frequency of a transmitted signal, it is possible to communicate a stream of data.
- To demodulate such a signal, therefore, two
estimators 200 may be utilized, where oneestimator 200 is configured to detect signals having the first frequency, while thesecond estimator 200 is configured to detect signals having the second frequency. The outputs of the two estimators could then be analyzed to determine which data value was transmitted. In such an arrangement, the sensitivity of the receiving device is determined solely by the device's capability to receive signals at the first and second frequencies. - In the present demodulator, however, it is recognized that when a frequency-modulated signal is transmitted at a first target frequency, additional corresponding signals that are at different frequencies may also be received by the recipient device. The additional signals may be harmonics of the originally-transmitted signal, out-of-band signals, and the like. For example, there are several channels allocated within the industrial, scientific, and medial (ISM) bands to receive signals such as ZigBee (IEEE 802.15.4) and Bluetooth low energy (BTLE) signals (e.g., IEEE 802.15.4 allocates 16 such channels). In a particular communication setup, there is a particular channel of interest, and the other channels are considered out-of-band. Signals communicated via the out-of-band channels occasionally interfere with the channel of interest, especially when they are at relatively close frequencies. Those out-of-band signals can be detected in accordance with the present disclosure. Additionally, in a GFSK-modulated signal, the use of Gaussian modulation may result in the modulated signal including a number of different frequencies.
- In a 2-FSK demodulator, for example, there are two primary frequencies (f1 and −f1) corresponding to the
binary values - To illustrate,
FIG. 4 shows a demodulator for a 2-FSK-modulated signal.Demodulator 400 includes a number ofestimators 402.Estimators 402 each receive an input signal that is a time domain signal (e.g., a signal received from downconverter 116 ofFIG. 1 ), containing the modulated data signal. -
Estimators 402 may be configured in a similar manner asestimator 200 illustrated inFIG. 2 . Each estimator is configured to detect an input signal at a particular frequency. This may be achieved, as described above, by configuring the coefficients of the taps of each correlator in eachestimator 402 to match a particular input signal frequency. - As shown in
FIG. 4 , two correlators are configured to detect the primary frequencies of the 2-FSK scheme (i.e., f1 and −f1). However, in demodulator 400 a number of additional estimators are included, where the additional estimators are each configured to detect signals having different frequencies. The additional frequencies f2, f3, and f4 are frequencies that each correspond to the frequency f1. For example, if f1 is 250 KHz, f2, f3, and f4 may be frequencies of signals that happen to be broadcast along with the signal at frequency f1. In one implementation where f1 is approximately 250 KHz, f2 may be approximately 180 KHz, f3 may be approximately 150 KHz, and f4 may be approximately 110 KHz. As such, the detection of signals having any of frequencies f2, f3, or f4 indicates that a signal having frequency f1 has also been transmitted. - In other words, the estimators for frequencies f1, f2, f3, or f4 are configured to detect both the primary positive frequency (f1) of the 2-FSK modulation scheme, as well as the additional frequencies that may also be received when the signal having frequency f1 is transmitted. Similarly, in addition to including an estimator for the frequency −f1,
demodulator 400 also includes estimators configured to detect signals that corresponding to frequency −f1, namely −f2, −f3, and −f4. - In some implementations, the positive and negative sets of frequencies will be symmetrical so that each positive frequency is paired with a negative frequency, where the positive and negative frequencies differ from the carrier frequency by the same magnitude. In other implementations, however, the set of positive frequencies will not be symmetrical with the negative frequencies. The magnitudes of the frequencies may differ between positive and negative sets of frequencies. In some implementations, this difference between the positive and the negative sets of chosen frequencies may be exploited to account for a frequency bias in the modulated signal. For example, if the primary frequencies f1 and −f1 are not symmetrical about the carrier frequency, the sets of positive frequencies f1, f2, f3, etc. and negative frequencies −f1, −f2, −f3, etc. may be similarly offset from the carrier frequency to compensate for the resulting frequency bias in the modulated signal. Additionally, the number of frequencies may differ between positive and negative sets of frequencies.
- In the case of filtered FSK signals, the choice of the additional frequencies to monitor (e.g., frequencies f2, f3, and f4) may be based upon a characteristic of the frequency distribution of the received modulated signal. For example, for a GFSK modulated signal, the frequency distribution of the Gaussian filter modulated signal or its (first-order or second-order) derivative of the may be used to choose one or more of the estimator frequencies. The 1st and 2nd derivative of the frequency distribution of a Gaussian filtered modulation signal allows identification of the modulated signal frequencies that have a higher probability of occurrence and/or have a higher rate of change. This information can then be used in making selection of a suitable set of frequency candidates for the demodulation estimators. In other cases, simulations of anticipated transmitter and receiver devices, in conjunction with channel imperfections and interfering signals, can be utilized to generate a number of candidate frequencies that may be utilized in the present demodulator device.
- As shown in
FIG. 4 , the outputs of all of the estimators are received by anoutput logic block 408, which is configured to analyze the output ofestimators 402 and generate a corresponding output signal.Output logic block 408 may implemented using any device, such as an analog circuit, digital circuit, processor, ASIC, and the like, that can analyze the outputs ofestimators 402 and apply suitable logic to determine an output value. - In one implementation,
output logic block 408 is configured to sum the output of all of the estimators associated with the f1 frequency (i.e., estimators for f2, f3, and f4). Additionally,output logic block 408 sums the outputs of all of the estimators associated with the −f1 frequency (i.e., estimators for −f1, −f2, −f3, and −f4). The summed values are then compared to one another, and the greater of the summed values determines the output ofoutput logic block 408 and, ultimately,demodulator 400. If the sum of the branch of estimators associated with the f1 frequency (illustrated by brace 404) is greater than the branch of estimators associated with the −f1 frequency (illustrated by brace 406), the output ofdemodulator 400 is a value indicating that a signal having the frequency f1 has been received (e.g., a binary ‘1’). Conversely, if the sum of the branch of estimators associated with the −f1 frequency (illustrated by brace 406) is greater than the branch of estimators associated with the f1 frequency (illustrated by brace 404), the output ofdemodulator 400 is a value indicating that a signal having the frequency −f1 has been received (e.g., a binary ‘0’). - In accordance with this disclosure, various demodulators may be developed for different modulation schemes. For example, in 4-FSK modulation, there are four primary frequencies that each correspond to a different value. In that case, a demodulator may be utilized that includes multiple estimators for each of the four potential frequencies. For example, in
FIG. 5 demodulator 500 is illustrated.Demodulator 500 includes a number ofestimators 502 that may each be configured in a similar manner asestimator 200 illustrated inFIG. 2 , where each estimator is configured to detect an input signal at a particular frequency. -
Demodulator 500 includes 4branches branch estimator 502 are then received and analyzed byoutput logic block 512, which, in turn, generates the output ofdemodulator 500. In one implementation,output logic block 512 compares the sums of eachbranch output logic block 512 and, ultimately,demodulator 500 is then determined by the branch having the greatest value. Although inFIG. 5 only two estimators are shown for each of the primary frequencies of the modulation scheme, more estimators may be used. For example, each branch may include three or more estimators configured to detect signals of particular frequencies. - Using this same approach, demodulators can be constructed n-FSK modulation schemes (e.g., 2-FSK, 4-FSK, 8-FSK, etc.) and Gaussian-filtered versions of the same. The demodulators can include any number of estimators that can be configured to detect the primary frequencies of the modulation scheme, as well as other related frequencies that may be useful in successfully decoding a received signal. Because the estimators are programmable, a single demodulator can be reprogrammed to detect different types of signals. For example, the 2-FSK demodulator depicted in
FIG. 4 could be reprogrammed (e.g., by adjusting the coefficients associated with one or more correlator and modifying the operation of output logic block 408) to create the 4-FSK demodulator depicted inFIG. 5 . - In some implementations, the
estimators 402 ofdemodulator 400 orestimators 502 ofdemodulator 500 can be configured to detect multiple symbols in a given time slice of an input symbol. Multiple symbol demodulation is a technique that can enable a non-coherent demodulator to achieve the performance of a coherent demodulator for continuous phase modulation (CPM) techniques when the transmission channel's phase response is constant over multiple symbol intervals. Under such stationary channel phase conditions, the multi-symbol demodulator performance can be boosted in one of many ways. For example, performance can be increased by maximizing the posteriori probability of a received symbol sequence given a set of known symbol, and making symbol detection decisions on a block of symbols while accounting for the specific characteristics of a particular modulation and coding/whitening techniques used in a modulation scheme. - In some cases, multiple symbol demodulation techniques are applied to blocks of 3 symbols, in which a demodulator can process a buffer of time domain samples including 3 symbols and make symbol detection decisions on the entire block. In a specific implementation, this set of three symbols might include overlapping blocks, where at each instant the three symbols include a previous, current, and a future symbol. For example, in such a configuration a demodulator/detector can combine features of an energy detector with those of a differential detector. Curve fitting techniques can also be used to make a localized decision on the received symbols for a continuous phase signal due to the inherent symbol shaping via filters in a modulation technique such as a Gaussian filter with known characteristics in Bluetooth-LE modulation.
- The present demodulator structure can therefore be extended to accommodate equivalent time domain samples of two or more symbols in each correlator branch. In such a configuration, each correlator would provide at least one output per symbol to the symbol detector block, which can then make symbol identification decision on the block of symbols being processed by the correlators using one of the techniques mentioned above.
- To implement multiple symbol demodulation in
demodulators estimators estimators - Alternatively, multiple-symbol demodulation can also be implemented by instantiating a set of single symbol demodulators (i.e., containing coefficients configured to match a single symbol) and then using a master decision block that post-processes the output of each single symbol demodulator to make decisions on a block of data. To illustrate,
FIG. 6 is a block diagram ofdemodulator 600 showing functional components configured to demodulate multiple symbols. Adigital input signal 602 is provided toestimator bank 604.Estimator bank 604 includes a number of estimators, each configured in accordance with the present disclosure to detect a particular symbol on a particular frequency. For example, for a 3 symbol 2GFSK demodulator, 12 correlation based estimators (4× per symbol, seeFIG. 2 ) can be used. As discussed for the case of a single symbol GFSK demodulator, the use of additional correlators (e.g., 8× per symbol) can result in the demodulator achieving improved demodulation performance, provides better immunity to interfering signals while also enabling 4-GFSK demodulation. The outputs of each of the individual correlators inestimator bank 604 are then transmitted to a symbol decision block 606 (as indicated by the individual arrows 608).Symbol decision block 606 then analyzes the output of each correlator inestimator bank 604 to detect whether a symbol has been detected. If so,symbol decision block 606 generates anoutput 610 indicating which symbol was detected. - As described above, the present demodulation scheme may offer improved performance over other conventional approaches.
FIG. 7 is a graph depicting simulation results for a demodulator configured in accordance with the present disclosure and conventional demodulators. InFIG. 7 , the horizontal axis represents a signal to noise ratio (SNR) in decibels, while the vertical axis represents the bit error rate (BER). - In
FIG. 7 ,line 702 demonstrates the performance of the present demodulator implemented in combination with a channel filter.Line 704 demonstrates the performance of a conventional coherent demodulator.Line 706 demonstrates the performance of the present demodulator with no channel filter.Line 708 demonstrates the performance of a phase discriminator demodulator.Line 710 demonstrates the performance of a conventional non-coherent demodulator. - As illustrated by
FIG. 7 , even though the present demodulator is a non-coherent demodulator (that may, in some cases, be suitable for low cost implementations), in one simulation involving the demodulation of BLUETOOTH low energy transmissions in which the present demodulator, without a front-end filter, is operative at an 8 MHz sampling rate, the present demodulator demonstrates an approximately 5 dB improvement in SNR with respect to a conventional non-coherent demodulator and an approximately 4 dB improvement in SNR with respect to a conventional floating point phase discriminator based demodulator for a bit error rate of 10−3. In fact, in various simulations, the present demodulator can be within 1 dB SNR of Maximum Likelihood Sequence Estimation (MLSE) based coherent demodulator that requires precise knowledge of the initial phase. - In some implementations, the performance of the present demodulator can be improved by limiting the noise that enters the demodulator. As illustrated in the simulation data of
FIG. 7 , with an 850 kHz channel filter in front of the demodulator, the performance of the present demodulator may be further improved by a factor of 3.5 dB for a BER of 10−3. - An embodiment of a device in accordance with the present disclosure includes an input configured to receive an input signal. The input signal is modulated by frequency shift keying (FSK) and encodes data at a first frequency and a second frequency. The device includes a first estimator configured to detect a first signal at the first frequency, a second estimator configured to detect a second signal at the second frequency, a third estimator configured to detect a third signal at a third frequency, wherein detection of the third signal is indicative of receipt of the first signal, and a fourth estimator configured to detect a fourth signal at a fourth frequency, wherein detection of the fourth signal is indicative of receipt of the second signal. The device includes an output logic block configured to analyze outputs of the first estimator, the second estimator, the third estimator, and the fourth estimator to generate an output indicating receipt of the data encoded at the first frequency or the second frequency.
- An embodiment of a device in accordance with the present disclosure includes an input configured to receive an input signal. The input signal is modulated by frequency shift keying (FSK) and encodes data at a first frequency and a second frequency. The device includes an estimator bank configured to receive the input signal. The estimator bank includes a plurality of estimators. Each estimator is configured to detect a signal at a frequency. The device includes an output logic block configured to generate an output indicating receipt of the data encoded at the first frequency or the second frequency based upon outputs of each of the plurality of estimators.
- An embodiment of a method in accordance with the present disclosure includes receiving an input signal. The input signal is modulated by frequency shift keying (FSK) and encodes data at a first frequency and a second frequency. The method includes supplying the input signal to a plurality of estimators. The plurality of estimators include a first estimator configured to detect a first signal at the first frequency, a second estimator configured to detect a second signal at the second frequency, a third estimator configured to detect a third signal at a third frequency, wherein detection of the third signal is indicative of receipt of the first signal, and a fourth estimator configured to detect a fourth signal at a fourth frequency, wherein detection of the fourth signal is indicative of receipt of the second signal. The method includes generating an output indicating receipt of the data encoded at the first frequency or the second frequency based upon outputs of the first estimator, the second estimator, the third estimator, and the fourth estimator.
- This disclosure is intended to explain how to fashion and use various embodiments in accordance with the invention rather than to limit the true, intended, and fair scope and spirit thereof. The foregoing description is not intended to be exhaustive or to limit the invention to the precise form disclosed. Modifications or variations are possible in light of the above teachings. The embodiment(s) was chosen and described to provide the best illustration of the principles of the invention and its practical application, and to enable one of ordinary skill in the art to utilize the invention in various embodiments and with various modifications as are suited to the particular use contemplated. All such modifications and variations are within the scope of the invention as determined by the appended claims, as may be amended during the pendency of this application for patent, and all equivalents thereof, when interpreted in accordance with the breadth to which they are fairly, legally, and equitably entitled.
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