JP7316397B1 - Signal analysis device and signal analysis method - Google Patents

Abstract

A signal analysis apparatus and a signal analysis method capable of measuring the power of spurious components of a burst signal with high accuracy are provided. A control section (70) for setting a measurement frequency, a measurement section (3) for acquiring power measurement data by measuring the power of a signal component at the measurement frequency in a signal under measurement at predetermined time intervals, and a control section. and a refinement processor 90 for calculating the power value of the spurious component from the time-domain power measurement data acquired by the measuring unit under the condition that the frequency of the spurious component of the burst signal is set as the measurement frequency. A section average calculation section 93 calculates an average value of the power measurement data in the calculation section each time the calculation section corresponding to the burst width is slid within the target section of the time length of two cycles of the burst signal. and a power value determination unit 94 that determines the maximum average value among the calculated average values as the power value of the spurious component. [Selection drawing] Fig. 1

Description

The present invention relates to a signal analysis apparatus and signal analysis method for analyzing burst signals, and more particularly to measurement of spurious signals in burst signals.

2. Description of the Related Art Signal analyzers such as spectrum analyzers and signal analyzers are used to perform spectrum analysis and modulation analysis of digital modulated signals transmitted from a device under test (DUT) such as a digital business radio.

A conventional signal analysis apparatus, for example, sweeps the frequency of a local oscillator signal output from a local oscillator, mixes the signal under test and the local oscillator signal transmitted from a DUT, and converts the signal into an intermediate frequency signal, The intermediate frequency signal is band-limited and detected by a filter, and displayed on the display unit as a spectrum waveform showing the frequency on the horizontal axis and the signal level (power) on the vertical axis (see, for example, Patent Document 1). ).

As a signal to be measured transmitted from the DUT, there is a burst signal which is a periodic signal that alternately repeats an ON period in which power is output and an OFF period in which power is not output (for example, ARIB standard STD-T61, STD- See T115, etc.).

In the signal analysis apparatus described in Patent Document 1, a signal component corresponding to a reception frequency in a burst signal, which is a signal under measurement, is detected. is detected, and the detected peak value is stored in the waveform memory. When the detection output becomes equal to or lower than the reference voltage and the measurement time ends, the receiving frequency of the receiving section is changed stepwise to the next frequency.

When a burst signal as well as a continuous wave signal is used as a signal to be measured, spurious measurement is performed to measure the power of spurious components, for example, in order to confirm that the requirements of the standard are satisfied. In the spurious measurement, after spurious components are detected by frequency domain measurement, the frequency at which the spurious components are present may be fixed and the power of the spurious components may be measured in the time domain.

JP-A-5-172871

However, in the signal analysis device described in Patent Document 1, when the power of the spurious component is low in spurious measurement of a burst signal, there is a problem that whether or not the reference voltage is exceeded is unstable due to the influence of noise. There was a demand for improvement.

In addition, when measuring the power of the spurious component of a burst signal in the time domain using the conventional method, the measured value includes the off period of the burst signal. There was a problem of not being able to measure accurately.

SUMMARY OF THE INVENTION It is an object of the present invention to provide a signal analysis apparatus and a signal analysis method capable of measuring the power of spurious components of a burst signal with high accuracy. .

In order to achieve the above object, the signal analysis apparatus of the present invention is a signal analysis apparatus for analyzing a burst signal as a signal under measurement, comprising: a frequency setting section (70) for setting a measurement frequency; A measurement unit (3) for measuring the power of the signal component of the measurement frequency at predetermined time intervals to acquire power measurement data, and the frequency setting unit setting the frequency of the spurious component of the burst signal as the measurement frequency. a calculation unit (90) for calculating the power value of the spurious component from the time-domain power measurement data acquired by the measurement unit under the condition, wherein the calculation unit calculates one period or more of the burst signal A section average calculation unit ( 93), and a power value determination unit (94) that determines the maximum average value among the calculated average values as the power value of the spurious component.

As described above, in the signal analysis apparatus of the present invention, each time the interval average calculation unit slides the calculation interval corresponding to the burst width within the target interval having a time length equal to or longer than one cycle of the burst signal, An average value of the power measurement data is calculated, and the power value determination unit determines the maximum average value among the calculated average values as the power value of the spurious component. With this configuration, it is not necessary to determine and measure the on-interval and off-interval of the burst signal when measuring the signal power as in the prior art such as Patent Document 1. can be measured accurately.

Further, the signal analysis apparatus of the present invention is configured such that, under the condition that the frequency setting unit sets the main frequency of the burst signal as the measurement frequency, the power pre-measurement data obtained in advance by the measurement unit is used to determine the frequency of the burst signal. The configuration may further comprise a burst characteristic measuring section (62) for measuring the period and the burst width.

With this configuration, the signal analysis apparatus of the present invention can measure the power only during the ON period of the burst signal without the need for manual input even if the period and burst width of the burst signal are unknown. Therefore, the power of the spurious component of the burst signal can be reliably measured with high accuracy. In addition, since human error in operation is reduced, analysis of factors such as whether the problem in spurious measurement results is caused by the DUT that transmits the signal under test or by the settings of the signal analysis device. can be easily done.

Further, in the signal analysis apparatus of the present invention, it is preferable that the time length of the target section (L) is twice the period (T) of the burst signal.

With this configuration, since one ON period of the burst signal is present in a complete form without being separated within the predetermined target period, the calculation period can be made to correspond to the ON period of the burst signal by an appropriate sliding operation of the calculation period. can be done. Thereby, the power of the spurious component of the burst signal can be measured with high accuracy.

Further, the signal analysis apparatus of the present invention may be configured such that the time length of the target section (L) is equal to the sum of the period (T) of the burst signal and the burst width (W).

With this configuration, there is at least one complete on-interval of the burst signal within the predetermined target interval, so that the calculated interval is made to correspond to the on-interval of the burst signal by an appropriate sliding operation of the calculated interval. be able to. As a result, the power of the spurious component of the burst signal can be measured with high accuracy only for the on period of the burst signal.

Further, in the signal analysis apparatus of the present invention, the section average calculation unit moves the calculation section (S) in the target section (L) from one end to the other end of the target section to obtain the power measurement data 1 The average value of the power measurement data within the calculation interval may be calculated each time the time length is slid in step widths corresponding to the pieces.

With this configuration, it is possible to ensure that the calculation section corresponds to the ON section of the burst signal by an appropriate sliding operation of the calculation section. As a result, the power of the spurious component of the burst signal can be measured with high accuracy only for the on period of the burst signal.

Further, in the signal analysis apparatus of the present invention, the section average calculation unit moves the calculation section (S) in the target section (L) from one end to the other end of the target section by a first step width each time the power measurement data is slid in the calculation section, the average value of the power measurement data in the calculation section is calculated, and the slide range is limited by comparing the average value with a predetermined threshold value, and the calculation section is calculated in the limited slide range. The power value determining unit calculates an average value of the power measurement data in the calculation interval each time the power value is slid by a second step width smaller than the first step width, and the power value determination unit slides by the second step width. A configuration may be adopted in which the maximum average value among the average values calculated each time is determined as the power value of the spurious component.

With this configuration, the power value of spurious components can be adjusted in a shorter time.

Further, in the signal analysis apparatus of the present invention, when the average value indicating the maximum among the calculated average values can be obtained, the interval average calculation unit stops the subsequent sliding, and the power value determination unit performs the The configuration may be such that an average value indicating a maximum is determined as the power value of the spurious component.

With this configuration, the power value of spurious components can be adjusted in a shorter time.

Further, a signal analysis method of the present invention is a signal analysis method for analyzing a burst signal as a signal under measurement, and includes a frequency setting step (ST31) of setting a measurement frequency, and A measurement step (ST32) of measuring the power of the signal component at predetermined time intervals to acquire power measurement data, and under the condition that the frequency of the spurious component of the burst signal is set as the measurement frequency in the frequency setting step. and a calculating step of calculating the power value of the spurious component from the time-domain power measurement data obtained by performing the measuring step in, wherein the calculating step has a time length equal to or longer than one period of the burst signal. an interval average calculation step (ST35) of calculating the average value of the power measurement data in the calculation interval each time the calculation interval (S) corresponding to the burst width (W) is slid within the target interval (L) of and a power value determination step (ST37) of determining the maximum average value among the calculated average values as the power value of the spurious component.

With this configuration, it is not necessary to determine and measure the on-interval and off-interval of the burst signal when measuring the signal power as in the prior art such as Patent Document 1. can be measured with high accuracy.

ADVANTAGE OF THE INVENTION According to this invention, the signal-analysis apparatus and signal-analysis method which can measure the power of the spurious component of a burst signal with high precision can be provided.

1 is a block diagram showing the configuration of a signal analysis device according to an embodiment of the present invention; FIG. FIG. 4 is a diagram for explaining a burst signal; FIG. FIG. 4 is a diagram for explaining a process of generating a trace data group; FIG. FIG. 10 is a diagram for explaining a process of suppressing spurious components of a burst signal; FIG. 4 is a flowchart of a signal analysis method by the signal analysis device according to the embodiment of the present invention; FIG. 11 is a flowchart for explaining automatic setting processing of sweep time; FIG. 9 is a flowchart for explaining burst period calculation processing; FIG. 10 is a flowchart for explaining a process for adjusting spurious components of a burst signal; FIG. It is a figure which shows an example of the display screen of the display part with which the signal-analysis apparatus which concerns on embodiment of this invention is equipped.

BEST MODE FOR CARRYING OUT THE INVENTION Hereinafter, embodiments of the present invention will be described with reference to the drawings.

FIG. 1 is a block diagram showing a schematic configuration of a signal analysis device 1 according to an embodiment of the invention. The signal analysis apparatus 1 according to the present embodiment is, for example, a spectrum analyzer, measures the frequency characteristics (frequency spectrum) of a burst signal, which is the signal under test transmitted from the DUT 2, and displays the waveform of the frequency spectrum on the display. to display. Specifically, as shown in FIG. 1, the signal analysis device 1 includes an intermediate frequency conversion unit 10, an analog-to-digital conversion unit (ADC) 20, a signal processing unit 30, a measurement data storage unit 40, an analysis processing unit 50, a data A time width control section 60 , a control section 70 , a display section 80 and an operation section 81 are provided. Note that the intermediate frequency conversion unit 10, the ADC 20, the signal processing unit 30, and the measurement data storage unit 40 constitute the measurement unit 3 of this embodiment.

In addition, the signal analysis apparatus 1 of the present embodiment includes a refinement processor 90 in order to more accurately measure the power of spurious components of burst signals. It should be noted that the finalization processing section 90 of the present embodiment corresponds to the calculation section of the present invention. Also, the intermediate frequency conversion unit 10, the ADC 20, the signal processing unit 30, and the measurement data storage unit 40 of this embodiment correspond to the measurement unit 3 of the present invention.

DUT 2 is, for example, a digital business radio that uses burst signals. Communication standards for the DUT 2 include, for example, standards STD-T61 and STD-T115 of ARIB (Association of Radio Industries and Businesses). The DUT 2 and the intermediate frequency converter 10 are connected by wire using a coaxial cable or the like, or by wireless connection via a wireless communication antenna.

FIG. 2 is a diagram for explaining a burst signal. A burst signal consists of a burst wave, and is a signal in which an on-interval in which a burst exists and an off-interval in which no burst exists are alternately repeated periodically. Transmission data from DUT 2 is included in the burst portion, which is the ON period. The burst wave in FIG. 2 is a periodic signal with a period T and a burst width W equal to the width of the ON interval.

(intermediate frequency converter)
Returning to FIG. 1, the intermediate frequency converter 10 converts the signal under test S1 transmitted from the DUT 2 into an intermediate frequency signal S5 having an intermediate frequency. and a filter 14 .

The attenuator 11 has an internal resistance, attenuates the signal under test S1 from the DUT 2 to a signal level suitable for subsequent signal processing, and is an electronic component that does not change impedance.

The local oscillator 12 includes a voltage-controlled oscillator (VCO) that operates under the control of the controller 70, and outputs a local oscillator signal S3. The local oscillator signal S3 is a sine wave with a frequency higher or lower than the specific frequency value of the original signal under test S1 by the value of the frequency to be converted. The frequency of the local oscillator signal S3 is swept over a predetermined frequency range by a sweep ramp signal output from a sweep signal generator 72, which will be described later.

The signal analysis apparatus 1 of this embodiment does not sweep the frequency of the local oscillator signal S3, but fixes it to a specific frequency and measures the power of the specific frequency component of the signal under measurement at predetermined time intervals in the time domain. A zero span measurement can also be performed.

The mixer 13 mixes the signal S2 of frequency _fS attenuated by the attenuator 11 and the local oscillator signal S3 of frequency _fL output from the local oscillator 12, and outputs signals of the sum and difference frequencies of the two signals. , that is, to generate a mixed signal S4 of intermediate frequency |f _L −f _S | or f _L +f _S . That is, the mixer 13 performs frequency conversion by mixing the signal S2 from the attenuator 11 with the local oscillator signal S3.

The bandpass filter 14 extracts an intermediate frequency signal S5 having an intermediate frequency from the mixed signal S4 output from the mixer 13. FIG.

The intermediate frequency converter 10 of this embodiment has a one-stage configuration that mixes the signal S2 obtained by attenuating the signal under test S1 with the local oscillator signal S3 once. A tiered configuration is also possible.

(ADC)
The ADC 20 samples the analog intermediate frequency signal S5 output from the bandpass filter 14 at a predetermined sampling rate and converts it into digital data. In the spectrum analysis mode, the ADC 20 sends the digital intermediate frequency signal S6 obtained by this analog-to-digital conversion to the signal processing section 30. FIG. Also, in the modulation analysis mode, the ADC 20 sends a digital intermediate frequency signal S6 obtained by analog-to-digital conversion to the measurement data storage section 40. FIG. The ADC 20 has, for example, but not limited to, a resolution of 16 bits and a sampling rate of 100 Msps (samples per second).

(signal processor)
The signal processing unit 30 performs digital signal processing such as band limitation and detection processing on the digital intermediate frequency signal S6 acquired by the ADC 20. The signal processing unit 30 includes an RBW (Resolution BandWidth) filter 31, a logarithmic conversion unit 32, a VBW (Video BandWidth) filter 33, and detector 34, in that order or in another suitable order. For example, the detector 34 may be interposed between the RBW filter 31 and the logarithmic converter 32, if desired. The signal processing unit 30 is configured by, but not limited to, an FPGA (Field Programmable Gate Array), for example.

The RBW filter 31 is composed of a digital bandpass filter, and filters the digital intermediate frequency signal S6 with a resolution bandwidth set according to the communication standard. The signal that has passed through the RBW filter 31 is sent to the logarithmic converter 32 after being gain-adjusted by an amplifier (not shown) if necessary.

The logarithmic converter 32 converts the signal level (strength or power) of the signal output from the RBW filter 31 into a logarithmic value. In other words, the logarithmic converter 32 converts the signal level into dB units. The signal that has passed through the logarithmic conversion section 32 is input to the next VBW filter 33 . When the log scale is not displayed on the display section 80 , the signal that has passed through the RBW filter 31 is not sent to the logarithmic conversion section 32 but is sent to the next VBW filter 33 .

The VBW filter 33 is composed of, for example, a digital low-pass filter and has a video bandwidth determined by the cutoff frequency. The VBW filter 33 performs band-limiting processing of a predetermined video bandwidth on the signal output from the logarithmic conversion unit 32, and removes the high-frequency components (noise components) of the spectrum waveform finally displayed on the display unit 80. ) is removed from the output signal.

The detector 34 calculates the power of the signal output from the VBW filter 33 according to the set detection mode, and outputs it as a power value (detection value). Detection modes include Positive Peak, Negative Peak, Sample, and RMS (Root Mean Square).

The measurement data storage unit 40 stores the power values obtained by the detection processing by the detector 34 as measurement data (also referred to as point data) at each frequency point. The measurement data includes pairs of frequency components of the signal under measurement and signal power values of the frequency components, and is an original data group for generating the spectrum (trace data group) of the signal under measurement. In the zero span measurement, the measurement data storage unit 40 stores the power values obtained by the detector 34 as measurement data at each time point.

Although the ADC 20 is provided between the intermediate frequency conversion section 10 and the signal processing section 30 in this embodiment, the configuration is not limited to this, and the ADC 20 may be arranged after the signal processing section 30 . In this case, the signal processing section 30 is configured with an analog circuit.

(analysis processing part)
The analysis processing section 50 includes a spectrum analysis section 51 that measures and analyzes the spectrum of the signal under test S1 in the spectrum analysis mode, and a modulation analysis section 52 that analyzes the modulation of the signal under test S1 in the modulation analysis mode. The spectrum analysis mode and modulation analysis mode are user selectable.

The spectrum analysis unit 51 performs predetermined signal analysis processing on the measurement data of the signal power obtained by detection by the signal processing unit 30 in the spectrum analysis mode. The signal analysis processing executed by the spectrum analysis unit 51 includes, for example, generation of the spectrum of the signal under test S1, channel power (CHP), occupied band width (OBW), adjacent channel leakage power ratio ( Adjacent Channel Leakage Ratio (ACLR), Spectrum Emission Mask (SEM), spurious emissions, burst average power, and other measurements for evaluating the quality of the signal under test. Note that the spectrum analysis section 51 corresponds to the spectrum generation section of the present invention.

As shown in FIG. 1, the spectrum analysis section 51 includes a trace data generation section 51a. The trace data generation unit 51a first extracts, from the measurement data stored in the measurement data storage unit 40, measurement data in which a frequency component exists within a trace bucket, which is a frequency range associated with each trace point. Based on the extracted measurement data, the trace data generator 51a generates a trace data group as the spectrum of the signal under measurement S1. Each trace data includes a pair of the frequency component of the signal under test S1 and the value of the signal power at the frequency component.

“Trace data” is power value data at each trace point that is finally displayed (traced) on the screen of the display unit 80 . For example, each trace data has information on the center frequency of the frequency range (trace bucket) assigned to each trace point and the power value obtained by detecting the extracted measurement data.

FIG. 3 is a diagram for explaining generation of a trace data group. As shown in FIG. 3, the spectrum analysis unit 51 generates trace data for the measurement data included in the data time width D set by the data time width setting unit 63 of the data time width control unit 60, which will be described later. Data processing is performed by the unit 51a to generate a trace data group as a frequency spectrum.

In the modulation analysis mode, the modulation analysis section 52 quadrature demodulates the digital intermediate frequency signal S6 obtained from the signal under test S1 to generate quadrature signals I(t) and Q(t) that are orthogonal to each other. ing. In orthogonal demodulation, for example, an orthogonal distributor using Hilbert transform can be used.

Specifically, the modulation analysis unit 52 performs predetermined signal analysis processing on the quadrature signals I(t) and Q(t) obtained by quadrature demodulation. The signal analysis processing executed by the modulation analysis unit 52 includes, for example, generation of time-series data and spectrum indicating temporal changes in amplitude (power), phase, frequency, etc. of the signal under measurement, channel power (CHP), occupied bandwidth (OBW), Adjacent Channel Leakage Power Ratio (ACLR), Burst Average Power, Modulation Accuracy (EVM), Transmit Power Level, Transmit Spectrum Mask, Error Vector Magnitude, etc. be done.

(control part)
The control unit 70 is configured to control the operations of the intermediate frequency conversion unit 10, the ADC 20, the signal processing unit 30, etc., control the display of the frequency spectrum on the display unit 80, and set various parameters. , a timing signal generator 71 , a sweep signal generator 72 , and a measurement condition setting unit 73 . Note that the control section 70, the sweep signal generating section 72, and the measurement condition setting section 73 of the present embodiment respectively correspond to the frequency setting section, sweep section, and setting section of the present invention.

The timing signal generator 71 generates a timing signal that gives the timing of the sweep signal generation by the sweep signal generator 72 based on parameters such as the set sweep time, and sends the timing signal to the sweep signal generator 72 . .

The timing signal generator 71 also generates a timing signal indicating the timing of A/D conversion in the ADC 20 and outputs it to the ADC 20 . The ADC 20 performs A/D conversion in synchronization with the timing signal output from the timing signal generator 71 .

Specifically, the timing signal generator 71 divides a reference clock signal to generate a timing signal that matches the driving frequency of each unit, and outputs the timing signal of a fixed frequency (sampling rate) to the ADC 20 . At the same time, in synchronization with this timing signal, a timing signal having a frequency lower than the sampling rate is output to the sweep signal generator 72 .

The sweep signal generator 72 generates a sweep ramp signal for sweeping the frequency fL of the local oscillator signal S3 output from the local oscillator 12 over a predetermined frequency range in the spectrum analysis mode. The sweep signal generator 72 generates a sweep ramp signal in synchronization with the timing signal sent from the timing signal generator 71 and outputs it to the local oscillator 12 . The local oscillator 12 changes its oscillation frequency according to the sweep ramp signal output from the sweep signal generator 72 . In the modulation analysis mode and zero span measurement mode, the frequency fL of the local oscillator signal S3 output from the local oscillator 12 is fixed.

The measurement condition setting unit 73 sets parameters such as the frequency span, the sweep start frequency, the sweep end frequency, the center frequency, the resolution bandwidth of the RBW filter 31, the video bandwidth of the VBW filter 33, etc. based on user input from the operation unit 81 and the like. It is configured to set necessary measurement conditions such as measurement mode and measurement mode. The measurement condition setting unit 73 also sets whether or not to automatically set the sweep time according to, for example, the check status of a check box.

The control unit 70 is composed of, for example, a microcomputer or a personal computer including a CPU, ROM, RAM, HDD, SDD, etc., and controls the operations of the above-described units constituting the signal analysis apparatus 1 . In addition, the control unit 70 transfers a predetermined program stored in the ROM or the like to the RAM and executes it, thereby controlling at least a part of the signal processing unit 30, the analysis processing unit 50, and the data duration control unit 60 by software. It is configurable. At least part of the signal processing unit 30, the analysis processing unit 50, and the data duration control unit 60 can also be configured by a digital circuit such as FPGA or ASIC (Application Specific Integrated Circuit). Alternatively, at least part of the signal processing unit 30, the analysis processing unit 50, and the data duration control unit 60 can be configured by appropriately combining hardware processing by a digital circuit and software processing by a predetermined program. .

The display unit 80 is composed of a display device such as an LCD or a CRT, and displays the analysis processing result of the analysis processing unit 50 and the like. For example, in the spectrum analysis mode, the display unit 80 displays the trace data group generated by the trace data generation unit 51a as a frequency spectrum waveform on a display screen in which the horizontal axis indicates frequency and the vertical axis indicates signal power. In addition, the display unit 80 displays operation targets such as buttons, soft keys, pull-down menus, and text boxes for setting measurement conditions according to control signals output from the control unit 70. there is

The operation unit 81 is for receiving an operation input by the user, and is configured by, for example, a touch panel provided in the display unit 80 . Alternatively, the operation unit 81 may be configured including an input device such as a keyboard or mouse. Further, the operation unit 81 may be composed of an external control device that performs remote control using a remote command or the like. An operation input to the operation unit 81 is detected by the control unit 70 . For example, the operation unit 81 allows the user to set information on transmission power, transmission frequency, and communication standard name, and to specify switching between the modulation analysis mode and the spectrum analysis mode.

FIG. 9 is an example of the display screen 100 displayed on the display unit 80 when setting the measurement conditions. As shown in FIG. 9, the measurement condition setting section 73 sets the measurement conditions based on the data set on the display section 80 by operating the operation section 81 .

A display screen 100 shown in FIG. 9 includes a measurement target setting section 101 , a measurement item setting section 102 , and a spurious measurement setting section 103 .

The measurement target setting unit 101 includes transmission power and transmission frequency as setting items, and can set the transmission power and transmission frequency when transmitting from the DUT 2 by operating the operation unit 81 .

Measurement item setting unit 102 includes transmission power, etc., spurious, occupied frequency band, and adjacent channel leakage power as measurement items. It has become.

When spurious is selected in measurement item setting section 102, spurious measurement setting section 103 is displayed. Spurious measurement setting section 103 includes standard setting section 104 , measurement parameter setting section 105 , sweep time automatic setting section 106 , and zero span measurement setting section 107 .

The standard setting unit 104 can set the communication standard of the DUT 2 by operating the operation unit 81 .

Measurement parameter setting section 105 includes setting items such as sweep start frequency, sweep end frequency, attenuator, resolution bandwidth, video bandwidth, detection mode, and sweep time, and each measurement parameter can be set by operating operation section 81. It's like

The sweep time automatic setting unit 106 sets automatic setting of the sweep time when the user operates the operation unit 81 to check a check box.

The zero-span measurement setting unit 107 includes setting items such as margin, resolution bandwidth, video bandwidth, and detection method, and each setting item can be set by operating the operation unit 81 .

(Data duration control unit)
Next, the data duration control section 60 will be described.

The data time width controller 60 controls the data time width D of measurement data used for spectrum analysis. As shown in FIG. It has a section 62 and a data duration setting section 63 .

The burst wave determining section 61 determines whether or not the signal under measurement is a periodic burst wave from the measurement data in the preparation stage before performing the spectrum analysis in the spectrum analysis mode. Specifically, when judging a burst wave, the measurement unit 3 measures the power of the signal under measurement at predetermined time intervals in a zero span mode in which the measurement frequency is fixed to the main frequency of the burst signal, and obtains pre-measured data (hereinafter simply referred to as (also referred to as measurement data). Then, the burst wave determination unit 61 acquires the maximum value and the minimum value from the measurement data, checks whether the difference between the maximum value and the minimum value is larger than the threshold value for burst wave determination, and if it is larger, the burst wave If it is small, it is determined to be a continuous wave.

When the signal under measurement is determined to be a burst wave, the burst period calculator 62 calculates the burst signal from the pre-measured power data obtained by the measuring unit 3 when the main frequency of the burst signal is set as the measurement frequency. period and the burst width if necessary. The pre-measured data is the power value data at each time point, ie the power value data in the time domain. As the pre-measured data used by the burst period calculator 62, the pre-measured data acquired at the time of burst wave determination may be substituted.

Specifically, the burst period calculator 62 first sets a rising threshold, a falling threshold, and a trigger condition. The rising threshold may be, for example, about 2/3 of the maximum power value measured by the measuring unit 3, and the falling threshold may be, for example, about 2/3 of the minimum power value measured by the measuring unit 3. Next, under the control of the control unit 70, the measuring unit 3 measures the power of the signal under measurement at predetermined time intervals for a predetermined time in a zero span mode in which the measurement frequency is fixed to the main frequency of the burst signal. to store the measured data in the measured data storage unit 40. FIG. The burst period calculator 62 reads the measured data from the measured data storage 40, compares the measured data with the trigger level, and detects the first rise, the first fall, and the next rise. Then, the burst period calculator 62 calculates the difference (t3-t1) between the second rising time t3 and the first rising time t1 as the period T of the burst signal. The burst period calculator 62 also calculates the difference (t2-t1) between the first fall time t2 and the first rise time t1 as the burst width W (see FIG. 2).

Based on the calculated period T, the data time width setting unit 63 sets the data time width D, which is the time width of the measurement data used to generate the trace data group. The sweep signal generator 72 sweeps the measurement frequency with a sweep time equal to the data time width D. FIG. Here, the “sweep time” is the time spent for sweeping the frequency range determined by the sweep start frequency and sweep end frequency set in the signal analysis apparatus 1 . The sweep signal generator 72 generates a sweep ramp signal based on the set sweep time, and sweeps the frequency of the local oscillator signal S3 from the local oscillator 12. FIG.

The data time width setting unit 63 sets the data time width D, that is, the sweep time, so that the time width of the measurement data used to generate one trace data is equal to or greater than the period calculated by the burst period calculation unit 62, for example. . As a result, measurement of one trace data always includes at least one cycle of a burst wave, so measurement of the off period of the burst signal can be suppressed from making the measurement result of the spectrum inaccurate, and the power of the burst signal can be suppressed. can be measured more accurately.

(Final processing section)
The refinement processing unit 90 adjusts the power of the spurious component based on time-domain power measurement data (also simply referred to as measurement data) obtained by measuring the power of the spurious component of the burst signal at predetermined time intervals in the zero span mode. It calculates the value more precisely. For this purpose, the finalization processing section 90 has a data acquisition section 91 , a section setting section 92 , a section average calculation section 93 and a power value determination section 94 . It should be noted that the finalization processing section 90 of the present embodiment corresponds to the calculation section of the present invention.

The data acquisition unit 91 obtains the power of the spurious component of the burst signal by the measurement unit 3 at predetermined time intervals in the zero span mode, and obtains the time-domain measurement data. Measured data included in the target section L having a time length is acquired from the measured data storage unit 40 . Time-domain measurement data is data that indicates a measurement of signal power at each time point.

The section setting unit 92 sets or slides the calculation section S corresponding to the burst width W within the target section L. FIG. The interval setting unit 92 slides the calculation interval S by a predetermined step width (for example, one measurement data width) each time the interval average calculation unit 93 calculates the interval average value. Information on the period T and the burst width W of the burst signal is acquired by the burst period calculator 62 .

The section average calculator 93 calculates the average value (section average value) of the measurement data included in the calculation section S set by the section setting section 92 . The section average calculation unit 93 calculates the section average value each time the section setting unit 92 slides the calculation section S within the target section L. FIG. The time length of the target section L is preferably twice the period T of the burst signal, but is not limited to this, and may be equal to the sum of the period T and the burst width W of the burst signal.

Also, the time length of the target section L may be set to be equal to or longer than the period T of the burst signal. For example, when the time length of the target section L is equal to the period T of the burst signal, the data acquisition unit 91 acquires the measurement data from appropriate time points so that the measurement data of the ON section can be continuously obtained. to

The power value determination unit 94 determines the maximum interval average value among the interval average values calculated by the interval average calculation unit 93 while sliding the calculation interval by the interval setting unit 92 as the power value of the spurious component. It's becoming

As described above, the finalization processing unit 90 calculates the section average value of the power measurement data in the calculation section S while sliding the calculation section S corresponding to the burst width within the target section L of two burst cycles. Then, a “finishing process” is executed to determine the maximum interval average value among the calculated interval average values as the power value of the spurious component.

4A and 4B are diagrams for explaining the processing for suppressing the spurious component of the burst signal. In FIG. 4, the portion denoted by reference numeral 200 indicates a burst signal with period T and burst width W. FIG. The target interval L is set to twice the period T of the burst signal. A portion denoted by reference numeral 210 shows how the calculation section S is slid within the target section L. FIG. Starting from the state where the left end of the calculation section S coincides with the left end of the target section L, slide by a predetermined step width (one measurement data), and when the right end of the calculation section S reaches the right end of the target section L, End slide. A portion denoted by reference numeral 220 is a diagram plotting the section average values of the power measurement data included in the calculation section S for each slide. When the calculated section S coincides with the ON section of the burst signal, the section average value indicates the maximum or local maximum.

In this embodiment, every time the section setting unit 92 slides the calculation section S from one end of the target section L toward the other end within the target section L by a step width corresponding to one piece of measurement data, , the section average calculator 93 calculates the section average value of the power measurement data in the calculation section S, but is not limited to this.

For example, each time the section setting unit 92 slides the calculation section S in the target section L from one end to the other end of the target section L by a first step width, the section average calculation unit 93 performs the calculation section The section average value of the power measurement data in S is calculated, and the section average value is compared with a predetermined threshold value to limit the slide range. The section average calculation unit 93 may calculate the section average value of the power measurement data in the calculation section S each time the slide is performed by a second step width that is smaller than the step width. The power value determination unit 94 determines the maximum interval average value among the interval average values calculated each time the slide is performed by the second step width, as the power value of the spurious component.

Further, when the interval setting unit 92 can acquire the interval average value indicating the maximum among the interval average values calculated by the interval average calculation unit 93, the subsequent slide operation is stopped, and the power value determination unit 94 determines the maximum value. The indicated interval average value may be determined as the power value of the spurious component. This makes it possible to execute the finishing process in a shorter time.

(Signal analysis method)
Next, a signal analysis method according to this embodiment will be described.

FIG. 5 is a flowchart of the signal analysis method according to this embodiment. As shown in FIG. 5, first, the measurement condition setting unit 73 sets measurement conditions (step ST1). The measurement condition setting unit 73 may set measurement conditions such as parameters necessary for signal analysis and measurement mode according to the operation of the operation unit 81 by the user, or may automatically set them. Measurement conditions to be set include, for example, measurement mode, transmission power, transmission frequency, measurement items, communication standard, sweep start frequency, sweep end frequency, resolution bandwidth, video bandwidth, automatic sweep time setting, and the like.

Measurement modes include spectrum analysis mode and modulation analysis mode. When the measurement mode is set to the spectrum analysis mode, spectrum analysis is performed, and when the measurement mode is set to the modulation analysis mode, modulation analysis is performed. A case where the spectrum analysis mode is set will be described below.

The control unit 70 checks the setting state of the sweep time automatic setting set by the measurement condition setting unit 73, and determines whether or not the sweep time automatic setting is valid (step ST2).

If the sweep time automatic setting is enabled (YES in step ST2), the data time width control section 60 automatically sets the sweep time (step ST3). If the sweep time automatic setting is not enabled (NO in step ST2), the user manually sets the sweep time (step ST4).

The signal analysis apparatus 1 uses the sweep time set by the data time width control section 60 to measure the spectrum under the control of the control section 70 (step ST5), and displays the spectrum measurement result on the display section 80. (Step ST6).

Next, the sweep time automatic setting step ST3 will be described.

As shown in FIG. 5, the measurement condition setting unit 73 sets measurement conditions for measurement necessary for automatic setting of the sweep time (step ST10). The measurement condition setting unit 73 may set measurement conditions such as parameters according to the operation of the operation unit 81 by the user, or may automatically set them. Measurement conditions to be set include, for example, measurement mode, measurement frequency, resolution bandwidth (RBW), video bandwidth (VBW), number of trace points, detection method, and the like. Here, the zero span measurement mode is set as the measurement mode. The measurement frequency is set to the main frequency (transmission frequency) of the burst signal.

The measurement unit 3 of the signal analysis device 1 performs zero span measurement at a measurement frequency set at predetermined time intervals for a predetermined time under the control of the control unit 70 (step ST11). Detection values at each time point obtained by the zero span measurement are stored in the measurement data storage unit 40 as measurement data.

The burst wave determining section 61 detects the maximum and minimum values of signal power from the measurement data obtained by the zero span measurement (step ST12).

The burst wave judging section 61 judges whether or not the difference between the maximum value and the minimum value of the signal power is larger than the threshold value for burst wave judgment (step ST13). (ST14), and if not (NO in step ST13), it is determined to be a continuous wave (ST18).

When the burst wave is determined in steps ST13 and ST14, the burst period calculator 62 calculates a rising threshold and a falling threshold as trigger levels (step ST15). For example, the burst period calculator 62 sets the rising threshold to approximately 2/3 of the maximum value of the signal power, and sets the falling threshold to approximately 2/3 of the minimum value of the signal power.

The burst period calculator 62 calculates the burst period and, if necessary, the burst width using the rising threshold and the falling threshold (step ST16).

The data time width setting section 63 sets the sweep time based on the calculated burst period (step ST17). Specifically, the data time width setting unit 63 sets the sweep signal so that the sweep time per trace data (or trace point) is longer than the cycle T of the burst signal calculated by the burst cycle calculation unit 62. A sweep time (data time width) in the generator 72 is set.

Next, the burst period and burst width calculation step ST16 will be described.

As shown in FIG. 7, the measurement condition setting section 73 sets trigger levels such as a rising threshold and a falling threshold as measurement conditions (step ST20).

The signal analysis apparatus 1 performs zero span measurement at a measurement frequency set at predetermined time intervals for a predetermined period of time under the control of the control section 70 (step ST21). The power value at each time point obtained by the zero span measurement is stored in the measurement data storage unit 40 as measurement data. Note that this zero span measurement step ST21 may be omitted when the result of the zero span measurement step ST11 is substituted.

The burst period calculation unit 62 reads out the measurement data of the zero span measurement from the measurement data storage unit 40, compares it with the trigger level, and detects the first rising edge, the first falling edge, and the next (second) rising edge ( step ST22).

The burst period calculator 62 subtracts the first rise time t1 from the second rise time t3, and obtains the difference (t3-t1) as the period T of the burst signal (step ST23) (see FIG. 2). The burst period calculator 62 also subtracts the first rise time t1 from the first fall time t2, and acquires the difference (t2-t1) as the burst width W (ST24) (see FIG. 2).

(Spurious measurement)
A precise measurement of the power of the spurious component of the burst signal will now be described.

As shown in FIG. 8, the control unit 70 acquires information on the frequency of the spurious component of the burst signal by spectral analysis of the burst signal or by user input (step ST30).

The measurement condition setting unit 73 of the control unit 70 sets measurement conditions required for spurious measurement (step ST31). The measurement condition setting unit 73 may set measurement conditions such as parameters according to the operation of the operation unit 81 by the user, or may automatically set them. Measurement conditions to be set include, for example, measurement mode, measurement frequency, resolution bandwidth (RBW), video bandwidth (VBW), number of trace points, and detection method. Here, the zero span measurement mode is set as the measurement mode.

Under the control of the control section 70, the signal analysis apparatus 1 performs zero span measurement at the frequency of the spurious component at predetermined time intervals for a predetermined period of time (step ST32). The time domain power measurement data obtained by the zero span measurement is stored in the measurement data storage unit 40 .

Next, the finalizing processing section 90 executes the finalizing processing using the power measurement data. Specifically, the data acquisition unit 91 acquires the power measurement data corresponding to the target section L having a predetermined length of time from the measurement data storage unit 40 (step ST33). In this embodiment, the target interval L is equal to twice the period T of the burst signal.

The interval setting unit 92 of the refinement processing unit 90 divides the calculation interval S corresponding to the burst width W in the target interval L from one end of the target interval L toward the other end by a predetermined step width ( For example, one measurement data) is slid (step ST34).

The section average calculator 93 calculates the section average value of the power measurement data in the calculation section S for each slide operation by the section setting section 92 (step ST35).

For example, the section setting unit 92 determines whether or not the end of the calculation section S has reached the other end of the target section L, thereby determining whether or not the slide operation of the calculation section S has ended (step ST36).

If it is determined that the slide operation has not ended (NO in step ST36), the process returns to step ST34. When it is determined that the slide operation has ended (YES in step ST36), the power value determination unit 94 detects the maximum interval average value among the interval average values calculated by the interval average calculation unit 93, and determines the spurious component. is determined as the power value of (step ST37). Information on the determined spurious power value may be displayed on the display unit 80 .

(Effect)
As described above, in the signal analysis apparatus 1 according to the present embodiment, the finalization processing unit 90 performs two cycles of the burst signal from the time domain power measurement data obtained by zero span measurement at the frequency of the spurious component. The power measurement data acquired within the target interval L of the time length is acquired, and each time the calculation interval S corresponding to the burst width W is slid within the target interval L, the interval average value of the power measurement data within the calculation interval S is obtained. is calculated, and the maximum interval average value among the calculated interval average values is determined as the power value of the spurious component. With this configuration, unlike the prior art, it is not necessary to determine and measure the on-interval and off-interval of the burst signal when measuring the signal power. be able to. Further, if the power of the spurious component is simply obtained from the maximum value of the power measurement data, there is a risk that the power of the noise may be erroneously adopted.

In addition, since the target interval L from which the power measurement data is acquired by the data acquisition unit 91 is at least two cycles of the burst cycle, the ON interval of the burst signal is not separated and completely formed within the target interval L. exists, the calculation interval S can be made to correspond to the ON interval of the burst signal by an appropriate sliding operation of the calculation interval S. This makes it possible to accurately measure the power of the spurious component only for the on period of the burst signal.

Further, the signal analysis apparatus 1 of the present embodiment includes a burst period calculator 62 that calculates the period T and the burst width W of the burst signal, and the refinement processor 90 calculates the calculated period T and burst width W of the burst signal. It is designed to execute the final processing based on. With this configuration, even if the period T and burst width W of the burst signal are unknown, it is possible to measure the power only during the ON period of the burst signal without having to manually enter it, thereby reducing spurious emissions of the burst signal. The component power can be measured with high accuracy. In addition, since human error in operation is reduced, it is possible to analyze factors such as whether the problem in the measurement result is caused by the DUT 2 transmitting the signal under test or by the setting of the signal analysis apparatus 1. It can be done easily.

In the above embodiment, the target interval L is set to twice the period T of the burst signal, but the present invention is not limited to this. If W, the target interval L can include one on-interval even if the data acquisition unit 91 acquires power measurement data starting from an arbitrary time point.

Although the signal analysis apparatus 1 of the above embodiment has a frequency sweep type configuration, it is not limited to this, and may have an FFT type configuration.

INDUSTRIAL APPLICABILITY As described above, the present invention has the effect of being able to measure the power of the spurious component of a burst signal with high accuracy. It is useful as a signal analysis method.

1 signal analyzer 2 DUT
3 measurement unit 10 intermediate frequency conversion unit 11 attenuator 12 local oscillator 13 mixer 14 bandpass filter 20 analog-to-digital converter (ADC)
30 signal processing unit 31 RBW filter 32 logarithmic converter 33 VBW filter 34 detector 40 measurement data storage unit 50 analysis processing unit 51 spectrum analysis unit 51a trace data generation unit 52 modulation analysis unit 60 data duration control unit 61 burst wave determination unit 62 Burst period calculator (burst characteristics measuring unit)
63 data time width setting unit 70 control unit (frequency setting unit)
71 timing signal generation unit 72 sweep signal generation unit 73 measurement condition setting unit 80 display unit 81 operation unit 90 final processing unit (calculation unit)
91 data acquisition unit 92 interval setting unit 93 interval average calculation unit 94 power value determination unit 100 display screen

Claims (8)

A signal analysis device for analyzing a burst signal as a signal under measurement,
a frequency setting unit (70) for setting a measurement frequency;
a measurement unit (3) that measures the power of the signal component of the measurement frequency in the signal under measurement at predetermined time intervals to acquire power measurement data;
A calculation unit ( 90), wherein the calculation unit includes:
Each time the calculation section (S) corresponding to the burst width (W) is slid within the target section (L) having a time length equal to or longer than one cycle of the burst signal, the average value of the power measurement data within the calculation section is calculated. A section average calculation unit (93) for calculating,
a power value determination unit (94) that determines the maximum average value among the calculated average values as the power value of the spurious component;
A signal analysis device comprising: Burst characteristics for measuring the period of the burst signal and the burst width from pre-measured power data obtained in advance by the measurement unit under the condition that the frequency setting unit sets the main frequency of the burst signal as the measurement frequency. The signal analysis device of claim 1, further comprising a measuring section (62). 3. The signal analysis apparatus according to claim 1, wherein the time length of said target section (L) is twice the period (T) of said burst signal. 3. The signal analysis apparatus according to claim 1, wherein the time length of said target section (L) is equal to the sum of the period (T) of said burst signal and said burst width (W). The section average calculation unit moves the calculation section (S) from one end of the target section to the other end in the target section (L) with a step width of a time length corresponding to one piece of the power measurement data. The signal analysis device according to any one of claims 1 to 4, wherein an average value of said power measurement data within said calculation section is calculated each time it is slid. Each time the calculation section (S) is slid in the target section (L) from one end to the other end of the target section by a first step width, the section average calculation unit The average value of the power measurement data is calculated, and the average value is compared with a predetermined threshold value to limit the slide range, and the calculated section in the limited slide range is set to a second step width smaller than the first step width. calculating the average value of the power measurement data in the calculation interval each time the slide is performed with a step width of
5. The power value determination unit according to any one of claims 1 to 4, wherein the power value determination unit determines a maximum average value among average values calculated each time the slide is performed by the second step width, as the power value of the spurious component. The signal analysis device according to the paragraph. When the average value indicating the maximum among the calculated average values is acquired, the section average calculation unit stops the subsequent sliding, and the power value determination unit calculates the average value indicating the maximum of the spurious components. The signal analysis device according to any one of claims 1 to 4, wherein the signal is determined as a power value. A signal analysis method for analyzing a burst signal as a signal under measurement,
a frequency setting step (ST31) for setting the measurement frequency;
a measuring step (ST32) of measuring the power of the signal component of the measurement frequency in the signal under measurement at predetermined time intervals to acquire power measurement data;
A power value of the spurious component is calculated from time-domain power measurement data obtained by executing the measuring step under the condition that the frequency of the spurious component of the burst signal is set as the measurement frequency in the frequency setting step. and a calculating step of
Each time the calculation section (S) corresponding to the burst width (W) is slid within the target section (L) having a time length equal to or longer than one cycle of the burst signal, the average value of the power measurement data within the calculation section is calculated. A section average calculation step (ST35) to calculate;
a power value determination step (ST37) of determining the maximum average value among the calculated average values as the power value of the spurious component;
A signal analysis method comprising:

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