CN114978826A - Pulse signal detection method and system - Google Patents
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Abstract
The invention relates to a pulse signal detection method and a pulse signal detection system, belongs to the field of signal detection, and solves the problems that the existing method occupies resources and is high in complexity algorithm degree. The method comprises the following steps: acquiring a baseband signal, and extracting the baseband signal with a preset length at each moment according to the pulse width and the sampling frequency of the baseband signal; performing frequency offset compensation and pulse compression on the baseband signal with the preset length by adopting a segmented compensation accumulation mode to obtain a compressed signal at each moment; and detecting the pulse signal according to the compressed signal sequence.
Description
Technical Field
The invention relates to the technical field of signal detection, in particular to a pulse signal detection method and system.
Background
Baseband pulse pressure signal processing has very common application in the field of signal processing such as radar. However, when both communication parties are in relative motion or frequency differences exist between frequency sources of both communication parties, the baseband signals generate frequency differences, correlation peaks of baseband pulse pressure are hidden, and the pulse detection probability is reduced. The existing frequency offset compensation method needs to estimate the frequency of a baseband signal first and then carry out frequency offset compensation, and has the disadvantages of high algorithm complexity, long convergence time and poor real-time performance.
The existing frequency offset estimation techniques are divided into two types, one type is a cooperative mode, a system inserts a known training sequence or pilot frequency data into a preamble position in a transmitted data frame, and frequency offset estimation is performed in a time domain or a frequency domain of a receiving end through frequency offset information contained in a receiving end sequence. The method needs to design a special system in advance, has higher pertinence requirement on the system, consumes the transmission efficiency and bandwidth resources of data, and cannot have universality. The other type is a non-cooperative mode, extra training and pilot frequency data are not required to be provided by a system, the frequency of a baseband signal is directly estimated, and then the frequency deviation of the signal is compensated.
Disclosure of Invention
In view of the foregoing analysis, embodiments of the present invention provide a method and a system for detecting a pulse signal, so as to solve the problems of resource occupation and high complexity of an algorithm in the existing method.
In one aspect, an embodiment of the present invention provides a pulse signal detection method, including the following steps:
acquiring a baseband signal, and extracting the baseband signal with a preset length at each moment according to the pulse width and the sampling frequency of the baseband signal;
performing frequency offset compensation and pulse compression on the baseband signal with the preset length in a segmented compensation accumulation mode to obtain a compressed signal at each moment;
and detecting the pulse signal according to the compressed signal sequence.
The beneficial effects of the above technical scheme are as follows: the frequency offset compensation and the pulse compression are carried out by adopting a segmented compensation accumulation mode, the frequency offset of the baseband signal is not required to be estimated, the signal transmission data is not required to be additionally changed, the complexity and the operation amount of frequency offset calculation, namely compensation, are reduced, the influence of frequency offset of the baseband signal and pulse signal detection can be effectively reduced, the phenomenon of related peak hiding caused by the frequency offset is effectively improved, and the pulse detection probability is improved.
Based on the further improvement of the method, the performing frequency offset compensation and pulse compression on the baseband signal with the preset length by adopting a segmented compensation accumulation mode to obtain a signal compressed at each moment includes:
dividing the baseband signals with the preset length into a plurality of sections, and calculating the accumulated value of each section of baseband signals;
calculating an average phase difference between the plurality of sections of baseband signals based on the accumulated value of each section of baseband signal;
and performing phase compensation and compression on the baseband signal with the preset length based on the average phase difference to obtain a compressed signal.
Further, the accumulated value of each segment of the baseband signal is calculated by the following formula:
where M denotes the number of segments, x i The ith sampling value of the baseband signal is represented by a preset length, L represents the preset length, and t belongs to {1, 2.. M }.
The beneficial effects of the above further improved scheme are: by dividing the baseband signals with the preset length into a plurality of sections, the calculation amount of the algorithm is reduced, and hardware resources are saved.
Further, calculating an average phase difference between the plurality of sections of baseband signals based on the accumulated value of each section of baseband signal includes:
calculating the conjugate product of two adjacent sections of baseband signals: c i ＝S i * S i-1 H 1,2,. M-1 or C i ＝S i *S i+1 H ,i＝1,2,...M-1；
Calculating the mean value of conjugate products of M sections of baseband signals
According to the formula
Calculating the average phase difference among the multiple sections of baseband signals;
wherein ,Ci Representing the conjugate product of the accumulated value of the ith segment baseband signal and the accumulated value of the adjacent segment baseband signal, imag (phi) representing the real part, real (phi) representing the imaginary part, M representing the number of segments, superscript H representing the conjugate, S i Indicating the accumulated value of the i-th segment baseband signal.
Further, calculating an average phase difference between the plurality of sections of baseband signals based on the accumulated value of each section of baseband signal includes:
calculating a forward mean and a post mean of the accumulated values of the M sections of baseband signals:
calculating the conjugate product of the forward mean and the back mean
Or
According to the formula
Calculating the average phase difference among the multiple sections of baseband signals;
wherein ,C1 Forward mean, C, representing the accumulated value of M-segment baseband signals 2 The mean value of the post terms representing the accumulated value of the M-segment baseband signal, imag (·) representing the real part, real (·) representing the imaginary part, M representing the number of segments, superscript H representing the conjugate, S i Indicating the accumulated value of the i-th segment baseband signal.
The beneficial effects of the above further improved scheme are: the phase angle of the mean value of the conjugate products of adjacent accumulation sequences is used as the average phase difference of the multi-segment sequences, so that the phase difference of the adjacent accumulation sequences is avoided being calculated one by one, the inverse triangle operation is replaced by the addition and subtraction of complex numbers, and the operation amount of the algorithm is reduced.
Further, performing phase compensation and compression on the baseband signal with the preset length based on the average phase difference to obtain a compressed signal, including:
and constructing a compensation parameter of each section of baseband signal according to the average phase difference:
B t ＝cos(θ*(t-1))+1j*sin(θ*(t-1)),t＝1,2,...,M，
multiplying the accumulated value of each section of baseband signal by the corresponding compensation parameter to perform phase compensation W on each section of baseband signal t ＝S t *B t ,t＝1,2,...,M；
Summing the phase compensated baseband signals to obtain a compressed signal
wherein ,
or
Represents the average phase difference, S t Represents the accumulated value of the t-th segment baseband signal, B t And the compensation parameters of the t-th baseband signal are represented.
The beneficial effects of the above further improved scheme are: and compensating the frequency deviation of the baseband signal by adopting an accumulation compression mode, and improving the detection gain.
Further, a sliding window method is adopted to extract a baseband signal with a preset length.
Further, detecting the pulse signal according to the compressed signal sequence includes:
starting from the second window to the end of the last but one window, if the compression value of the baseband signal of the current window is greater than the threshold value and greater than the compression values of the baseband signals of the left and right windows, the compression value of the current window is the related peak-to-peak value of the signal detection, and the current window is the position where the pulse signal to be detected is located.
The beneficial effects of the above further improved scheme are: and a judgment mode combining adjacent sliding window compression value comparison and fixed threshold value comparison is adopted, so that the detection precision can be effectively improved, and noise interference is filtered.
In another aspect, an embodiment of the present invention provides a pulse signal detection system, where the system includes:
the baseband signal extraction module is used for acquiring a baseband signal and extracting the baseband signal with a preset length at each moment according to the pulse width and the sampling frequency of the baseband signal;
the segmented compensation compression module is used for carrying out frequency offset compensation and pulse compression on the baseband signal with the preset length in a segmented compensation accumulation mode to obtain a compressed signal at each moment;
and the pulse detection module is used for detecting a pulse signal according to the compressed signal sequence.
Further, a segment compensation compression module, comprising:
the accumulated value calculation module is used for dividing the baseband signals with the preset length into a plurality of sections and calculating the accumulated value of each section of baseband signals;
the average phase difference calculation module is used for calculating the average phase difference among the multiple sections of baseband signals based on the accumulated value of each section of baseband signal;
and the compensation compression module is used for carrying out phase compensation and compression on the baseband signal with the preset length based on the average phase difference to obtain a compressed signal.
In the invention, the technical schemes can be combined with each other to realize more preferable combination schemes. Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and drawings.
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The drawings are only for purposes of illustrating particular embodiments and are not to be construed as limiting the invention, wherein like reference numerals are used to designate like parts throughout.
FIG. 1 is a flow chart of a pulse signal detection method according to an embodiment of the present invention;
FIG. 2 is a block diagram of a pulse signal detection system according to an embodiment of the present invention;
fig. 3 is amplitude information of a baseband signal of a preset length extracted by an embodiment of the present invention;
FIG. 4 is a diagram illustrating phase information of a baseband signal with a predetermined length according to an embodiment of the present invention;
FIG. 5 is amplitude information of a segmented signal according to an embodiment of the present invention;
FIG. 6 illustrates phase information of a segmented signal according to an embodiment of the present invention;
FIG. 7 is a diagram illustrating amplitude information of a conjugate product of two adjacent baseband signals according to an embodiment of the present invention;
FIG. 8 is a diagram illustrating phase information of conjugate products of two adjacent baseband signals according to an embodiment of the present invention;
FIG. 9 is amplitude information of compensation parameters for an embodiment of the present invention;
FIG. 10 is a phase information of compensation parameters according to an embodiment of the present invention;
FIG. 11 is a diagram illustrating amplitude information of a compensated signal according to an embodiment of the present invention;
FIG. 12 shows the phase information of the compensated signal according to the embodiment of the present invention;
FIG. 13 shows the pulse pressure results without frequency offset compensation;
FIG. 14 shows the pulse pressure results after frequency offset compensation;
fig. 15 is a diagram illustrating comparison of calculation amounts of FFT frequency compensation and frequency offset compensation of the present invention.
Detailed Description
The accompanying drawings, which are incorporated in and constitute a part of this application, illustrate preferred embodiments of the invention and together with the description, serve to explain the principles of the invention and not to limit the scope of the invention.
Baseband pulse pressure signal processing has very common application in the field of signal processing such as radar. However, when the two communication parties move relatively or the frequency sources of the two parties have frequency difference, the baseband signal has frequency difference, the correlation peak of the baseband pulse pressure is hidden, and the pulse detection probability is reduced. The existing frequency offset compensation method needs to estimate the frequency of a baseband signal first and then carry out frequency offset compensation, and has the disadvantages of high algorithm complexity, long algorithm convergence time and poor real-time performance.
The existing frequency offset estimation techniques are divided into two types, one type is a cooperative mode, a system inserts a known training sequence or pilot frequency data into a preamble position in a transmitted data frame, and frequency offset estimation is performed in a time domain or a frequency domain of a receiving end through frequency offset information contained in a receiving end sequence. The method needs to design a special system in advance, has higher pertinence requirement on the system, consumes the transmission efficiency and bandwidth resources of data, and cannot have universality. The other type is a non-cooperative mode, extra training and pilot frequency data are not required to be provided by a system, the frequency of a baseband signal is directly estimated, and then the frequency deviation of the signal is compensated.
In view of this, an embodiment of the present invention discloses a pulse signal detection method, as shown in fig. 1, including the following steps:
s1, obtaining a baseband signal, and extracting the baseband signal with a preset length at each moment according to the pulse width and the sampling frequency of the baseband signal;
s2, performing frequency offset compensation and pulse compression on the baseband signal with the preset length by adopting a segmented compensation accumulation mode to obtain a signal compressed at each moment;
and S3, detecting the pulse signal according to the compressed signal sequence.
By adopting a distributed compensation accumulation mode to perform frequency offset compensation and pulse compression, the frequency offset of a baseband signal does not need to be estimated, the phenomenon of related peak hiding caused by the frequency offset can be effectively improved without additionally changing signal transmission data, and the pulse detection probability is improved.
In practice, the acquired baseband signal is a baseband IQ signal.
For further understanding of the present invention, the following description will take the detection of 2 sync pulse heads in an interrogation signal of a certain system as an example. The pulse period of the synchronous head is 20us, the pulse width is 12.8us, the sampling rate of a baseband signal is 40MHz, the known modulation mode and modulation coding are adopted, the frequency deviation of the baseband is 0.1MHz, and the signal-to-noise ratio is 10 dB. After the signal acquisition, frequency conversion, demodulation and other early-stage operations are finished, baseband IQ signals are obtained, and the pulse signal detection method is executed.
In practice, the preset length is calculated according to the pulse width sampling rate. E.g. baseband signal with a sampling rate f s If the pulse width is τ, the preset length is calculated to be L ═ f s τ, i.e. extracting the base band signal of length L at each instant.
The sampling rate of the sync header pulse is 40MHz, the pulse width is 12.8us, and L is equal to f s τ the preset length is calculated as 512. The amplitude and phase of the extracted baseband signal of the preset length are shown in fig. 3 and 4, respectively. In implementation, a sliding window method may be used to extract a baseband signal with a preset length. The window step size may be determined according to the detection accuracy, for example, the step size is set to 1 sampling interval. And extracting the baseband signal with the preset length in the window once per sliding, and performing frequency offset compensation and compression by adopting a segmented compensation accumulation mode to obtain a compressed signal corresponding to the baseband signal in each window.
Specifically, the performing frequency offset compensation and pulse compression on the baseband signal with the preset length by using a segmented compensation accumulation mode to obtain a signal compressed at each moment includes:
s21, dividing the baseband signals with the preset length into multiple sections, and calculating the accumulated value of each section of baseband signals;
in implementation, the number of segments may be determined according to the requirement of operation amount or the requirement of frequency offset compensation. The smaller the computation requirement, the smaller the number of segments, which means that the accuracy of the phase difference estimation is more affected by noise, and the frequency offset compensation effect is relatively poor.
Specifically, in step S21, the accumulated value of each segment of baseband signal is calculated by using the following formula:
where M denotes the number of segments, x i The ith sampling value of the baseband signal with the preset length is represented, L represents the length of the baseband signal with the preset length, and t is equal to {1,2,. mu.M }.
Illustratively, a baseband signal with a length of 512 is divided into 8 segments, the first segment has serial numbers 1 to 64, the second segment has serial numbers 65 to 128, and so on. The amplitude and phase of each signal segment is shown in fig. 5 and 6, respectively.
S22, calculating the average phase difference among the multiple sections of baseband signals based on the accumulated value of each section of baseband signal;
specifically, the step S22 is to calculate an average phase difference between multiple baseband signals based on the accumulated value of each baseband signal, and includes:
calculating the conjugate product of two adjacent sections of baseband signals: c i ＝S i * S i-1 H 1,2,. M-1 or C i ＝S i *S i+1 H ,i＝1,2,...M-1；
Calculating the mean value of conjugate products of M sections of baseband signals
According to the formula
And calculating the average phase difference among the plurality of sections of baseband signals.
wherein ,Ci Representing the conjugate product of the accumulated value of the ith segment baseband signal and the accumulated value of the adjacent segment baseband signal, imag (phi) representing the real part, real (phi) representing the imaginary part, M representing the number of segments, superscript H representing the conjugate, S i Indicating the accumulated value of the i-th segment baseband signal.
For the above 8-segment signal, C is adopted i ＝S i *S i-1 H M-1, the conjugate product C of two adjacent baseband signals is calculated i The amplitude and phase of (a) are shown in fig. 7 and 8. The average phase difference was calculated to be 1.0096 rad.
In practice, the step S22 may calculate the average phase difference between the multiple baseband signals based on the accumulated value of each baseband signal, and the following steps may be adopted:
calculating a forward mean and a post mean of the accumulated values of the M sections of baseband signals:
calculating the conjugate product of the forward mean and the back mean
Or
According to the formula
Calculating the average phase difference among the multiple sections of baseband signals;
wherein ,C1 Forward mean, C, representing the accumulated value of M-segment baseband signals 2 The mean value of the post terms representing the accumulated value of the M-segment baseband signal, imag (·) representing the real part, real (·) representing the imaginary part, M representing the number of segments, superscript H representing the conjugate, S i Indicating the accumulated value of the i-th segment baseband signal.
And S23, performing phase compensation and compression on the baseband signal with the preset length based on the average phase difference to obtain a compressed signal.
Specifically, step S23 performs phase compensation and compression on the baseband signal with the preset length based on the average phase difference to obtain a compressed signal, including:
and constructing a compensation parameter of each section of baseband signal according to the average phase difference:
B t ＝cos(θ*(t-1))+1j*sin(θ*(t-1)),t＝1,2,...,M，
multiplying the accumulated value of each section of baseband signal by the corresponding compensation parameter to perform phase compensation W on each section of baseband signal t ＝S t *B t ,t＝1,2,...,M；
Summing the phase compensated baseband signals to obtain a compressed signal
wherein ,
or
Denotes the average phase difference, S t Represents the accumulated value of the t-th segment baseband signal, B t And the compensation parameters of the t-th baseband signal are represented.
In particular, when used
Calculating conjugate products, or using C i ＝S i *S i-1 H When M-1 calculates the conjugate product of two adjacent sections of baseband signals, i is 1, 2.,
when adopting
Calculating conjugate products, or using
And 2 when calculating the conjugate product of two adjacent sections of baseband signals,
for the 8-segment signal, C is adopted i ＝S i *S i-1 H M-1, the conjugate product C of two adjacent baseband signals is calculated i Thus obtaining
Calculated compensation parameter B t The amplitude and phase of (d) are shown in fig. 9 and 10. According to W t ＝S t *B t T 1,2, M, the signal W after being compensated in segments t The amplitude and phase of (d) are shown in fig. 11 and 12. Visible segmentation sequence S t After compensation, compared with the amplitude phase (phase range is 1,47 rad-1.52 rad, amplitude range is 3-6, as shown in fig. 11 and 12) before compensation, the amplitude phase fluctuation is obviously reduced, and the frequency offset is compensated.
Fig. 13 shows the pulse pressure result without frequency offset compensation, and fig. 14 shows the pulse pressure result of the proposed pulse compression method. Therefore, the pulse pressure without frequency offset compensation causes related peaks to be hidden, and the detection of the pulse signal is inaccurate. After the frequency offset compensation compression is carried out by adopting the segmented compensation accumulation mode provided by the invention, the pulse signals are detected at the 1001 and 1801 positions, the phenomenon of related peak hiding caused by frequency offset is effectively improved, and the pulse detection probability is improved.
Compared with the pulse pressure method without frequency deviation compensation, the pulse pressure processing method provided by the invention can be used for directly adding a baseband pulse pressure processing part without additionally changing signal transmission data, effectively improving the phenomenon of relevant peak hiding caused by frequency deviation and improving the pulse detection probability.
Compared with the prior frequency offset compensation technology, the invention occupies little hardware resources. For example, using a method according to formula C i ＝S i * S i-1 H 1,2,. M-1 or C i ＝S i *S i+1 H ,i＝1,2,...M-1；
Specifically, detecting a pulse signal according to a compressed signal sequence includes:
starting from the second window to the end of the last but one window, if the compression value of the baseband signal of the current window is greater than the threshold value and greater than the compression values of the baseband signals of the left and right windows, the compression value of the current window is the related peak-to-peak value of the signal detection, and the current window is the position where the pulse signal to be detected is located.
That is, the compression values of the baseband signals under the three connected sliding windows are compared, if a certain compression value is greater than the compression values corresponding to the left and right sliding windows and greater than a threshold, the compression value is a related peak-to-peak value of the signal detection, and the baseband signal of the sliding window corresponding to the compression value is the position where the pulse signal to be detected is located in time.
Specifically, the size of the threshold is determined by the noise size of the equipment system and the size of the input signal. The operation is obtained by an actual measurement method. The actual measurement method may be that the equipment system executes steps S1-S2 under the condition of the signal input commonly used by the equipment system, so as to obtain multiple sets of compression values, and the threshold value is determined according to the maximum compression value of multiple tests.
In another aspect, an embodiment of the present invention provides a pulse signal detection system, where the system includes:
the baseband signal extraction module is used for acquiring a baseband signal and extracting the baseband signal with a preset length at each moment according to the pulse width and the sampling frequency of the baseband signal;
the segmented compensation compression module is used for carrying out frequency offset compensation and pulse compression on the baseband signal with the preset length in a segmented compensation accumulation mode to obtain a compressed signal at each moment;
and the pulse detection module is used for detecting a pulse signal according to the compressed signal sequence.
Further, a segment compensation compression module, comprising:
the accumulated value calculation module is used for dividing the baseband signals with the preset length into a plurality of sections and calculating the accumulated value of each section of baseband signals;
the average phase difference calculation module is used for calculating the average phase difference among the multiple sections of baseband signals based on the accumulated value of each section of baseband signal;
and the compensation compression module is used for carrying out phase compensation and compression on the baseband signal with the preset length based on the average phase difference to obtain a compressed signal.
The method embodiment and the system embodiment are based on the same principle, and related parts can be referenced mutually, and the same technical effect can be achieved. For a specific implementation process, reference is made to the foregoing embodiments, which are not described herein again.
Those skilled in the art will appreciate that all or part of the flow of the method implementing the above embodiments may be implemented by a computer program, which is stored in a computer readable storage medium, to instruct related hardware. The computer readable storage medium is a magnetic disk, an optical disk, a read-only memory or a random access memory.
The above description is only for the preferred embodiment of the present invention, but the scope of the present invention is not limited thereto, and any changes or substitutions that can be easily conceived by those skilled in the art within the technical scope of the present invention are included in the scope of the present invention.
Claims (10)
1. A pulse signal detection method is characterized by comprising the following steps:
acquiring a baseband signal, and extracting the baseband signal with a preset length at each moment according to the pulse width and the sampling frequency of the baseband signal;
performing frequency offset compensation and pulse compression on the baseband signal with the preset length by adopting a segmented compensation accumulation mode to obtain a compressed signal at each moment;
and detecting the pulse signal according to the compressed signal sequence.
2. The method according to claim 1, wherein the performing frequency offset compensation and pulse compression on the baseband signal with the preset length by using a segmented compensation accumulation manner to obtain a signal compressed at each time includes:
dividing the baseband signals with the preset length into a plurality of sections, and calculating the accumulated value of each section of baseband signals;
calculating an average phase difference between the plurality of sections of baseband signals based on the accumulated value of each section of baseband signal;
and performing phase compensation and compression on the baseband signal with the preset length based on the average phase difference to obtain a compressed signal.
3. The pulse signal detection method according to claim 2, wherein the accumulated value of each segment of the baseband signal is calculated using the following formula:
where M denotes the number of segments, x i An ith sampling value of the baseband signal representing a preset length, L represents the preset length, and t is an element {1, 2.. M }.
4. The pulse signal detection method according to claim 2, wherein calculating an average phase difference between the plurality of pieces of baseband signals based on an accumulated value of each piece of baseband signal comprises:
calculating the conjugate product of two adjacent sections of baseband signals: c i ＝S i *S i-1 H 1,2,. M-1 or C i ＝S i *S i+1 H ,i＝1,2,...M-1；
Calculating M-segment baseband signalsMean of conjugate products of numbers
According to the formula
Calculating the average phase difference among the multiple sections of baseband signals;
wherein ,Ci Representing the conjugate product of the accumulated value of the ith segment baseband signal and the accumulated value of the adjacent segment baseband signal, imag (phi) representing the real part, real (phi) representing the imaginary part, M representing the number of segments, superscript H representing the conjugate, S i Indicating the accumulated value of the i-th segment baseband signal.
5. The method of claim 2, wherein calculating the average phase difference between the plurality of baseband signals based on the accumulated value of each baseband signal comprises:
calculating the forward mean value and the mean value of the post terms of the accumulated values of the M sections of baseband signals:
calculating the conjugate product of the forward mean and the back mean
Or
According to the formula
Calculating the average phase difference among the multiple sections of baseband signals;
wherein ,C1 Forward mean, C, representing the accumulated value of M-segment baseband signals 2 The latter terms representing the accumulated values of the M-segment baseband signalsThe value, imag (·) denotes the real part, real (·) the imaginary part, M the number of segments, superscript H the conjugate, S i Indicating the accumulated value of the i-th segment baseband signal.
6. The method according to claim 2, wherein performing phase compensation and compression on the baseband signal with the preset length based on the average phase difference to obtain a compressed signal comprises:
and constructing a compensation parameter of each section of baseband signal according to the average phase difference:
B t ＝cos(θ*(t-1))+1j*sin(θ*(t-1)),t＝1,2,...,M，
and multiplying the accumulated value of each section of baseband signal by the corresponding compensation parameter to perform phase compensation on each section of baseband signal: w t ＝S t *B t ,t＝1,2,...,M；
Summing the phase compensated baseband signals to obtain a compressed signal
wherein ,
or
Denotes the average phase difference, S t Represents the accumulated value of the t-th segment baseband signal, B t Denotes a compensation parameter of the t-th segment baseband signal, and j denotes an imaginary part of the complex number.
7. The method according to claim 1, wherein the baseband signal of the predetermined length is extracted by a sliding window method.
8. The pulse signal detection method according to claim 7, wherein detecting the pulse signal based on the compressed signal sequence comprises:
starting from the second window to the end of the last but one window, if the compression value of the baseband signal of the current window is greater than the threshold value and greater than the compression values of the baseband signals of the left and right windows, the compression value of the current window is the related peak-to-peak value of the signal detection, and the current window is the position where the pulse signal to be detected is located.
9. A pulse signal detection system, the system comprising:
the baseband signal extraction module is used for acquiring a baseband signal and extracting the baseband signal with a preset length at each moment according to the pulse width and the sampling frequency of the baseband signal;
the segmented compensation compression module is used for carrying out frequency offset compensation and pulse compression on the baseband signal with the preset length in a segmented compensation accumulation mode to obtain a compressed signal at each moment;
and the pulse detection module is used for detecting a pulse signal according to the compressed signal sequence.
10. The pulse signal detection system of claim 9, wherein the piecewise compensation compression module comprises:
the accumulated value calculation module is used for dividing the baseband signals with the preset length into a plurality of sections and calculating the accumulated value of each section of baseband signals;
the average phase difference calculation module is used for calculating the average phase difference among the multiple sections of baseband signals based on the accumulated value of each section of baseband signal;
and the compensation compression module is used for carrying out phase compensation and compression on the baseband signal with the preset length based on the average phase difference to obtain a compressed signal.
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