CN115951124A - Time-frequency domain combined continuous and burst signal detection method and system - Google Patents
Time-frequency domain combined continuous and burst signal detection method and system Download PDFInfo
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Abstract
The invention provides a time-frequency domain combined continuous and burst signal detection method, which comprises the steps of respectively carrying out frequency domain detection and time domain detection on a section of signal sampling data generated by acquisition preprocessing on a frequency domain and a time domain, completing detection discovery of continuous and burst signals and obtaining time-frequency parameters of the signals; performing frequency spectrum analysis on a frequency domain, judging the existence of a signal in a bandwidth, and further determining the actual bandwidth of the signal after time domain detection is finished if the signal exists; and performing burst signal detection on the existing signals in the time domain, and acquiring the starting time of the burst signals and the signal duration parameters. The invention automatically detects the existing signals and time-frequency parameters by using a time-frequency domain joint detection method, does not need manual observation and frame selection of burst signals to determine the signal parameters, simplifies the design of monitoring equipment, reduces manual operation, improves the reliability of engineering realization, and has low burst signal detection cost, high speed, high detection precision and high stability.
Description
Technical Field
The invention relates to the field of digital signal processing, in particular to a time-frequency domain combined continuous and burst signal detection method and system.
Background
The broadband electromagnetic spectrum monitoring equipment adopts an antenna to capture a space electromagnetic radiation signal and converts the space electromagnetic radiation signal into an electric signal; performing analog frequency conversion, filtering and amplification on the signals through a radio frequency channel, and outputting the signals to an acquisition module; the acquisition module performs AD sampling and digital down-conversion on a single-channel analog signal output by a receiving channel to generate signal sampling data, and a diagram of the broadband electromagnetic spectrum monitoring device is shown in fig. 1. In a complex electromagnetic environment, electromagnetic signals captured by electromagnetic signal monitoring equipment need to be filtered one by one based on the time occupation range and the frequency occupation range of various specific signals for subsequent analysis and processing. In recent years, due to continuous development of wireless communication technologies (power control, access modes, and the like) and large-scale construction of wireless communication equipment, an electromagnetic environment becomes increasingly complex, which improves the difficulty in identifying electromagnetic signals and reduces the accuracy rate of detecting electromagnetic signals.
Conventional signal detection, typically by determining the duration of the signal by a fixed threshold; or directly adopting a single-sliding window and double-sliding window method to analyze the signal mutation points and searching the burst signals. This approach is susceptible to noise and cannot distinguish between a continuous signal or a continuous background noise, which can cause false alarms for bursty signals. These phenomena reduce the ability and efficiency of signal detection.
Disclosure of Invention
Aiming at the defects of low detection probability of the broadband electromagnetic spectrum monitoring equipment on the burst electromagnetic radiation signal, low time parameter extraction accuracy and the like, the time-frequency domain combined continuous and burst signal detection method and system are provided, and the method and system can be applied to the broadband electromagnetic spectrum monitoring equipment to realize high-precision and high-stability detection of the burst signal.
The technical scheme adopted by the invention is as follows: a time-frequency domain combined continuous and burst signal detection method comprises the steps of respectively carrying out frequency domain detection and time domain detection on a section of signal sampling data generated by acquisition preprocessing on the signal sampling data in a frequency domain and a time domain, completing detection discovery of continuous and burst signals and obtaining time-frequency parameters of the signals; performing frequency spectrum analysis on a frequency domain, judging the existence of a signal in a bandwidth, and further determining the actual bandwidth of the signal after time domain detection is finished if the signal exists; and performing burst signal detection on the existing signals in the time domain, and acquiring the starting time of the burst signals and the signal duration parameters.
Further, the frequency domain detection comprises spectrum energy detection and signal bandwidth detection; the spectrum energy detection judges whether signals exist in input signal sampling data or not according to the signal-to-noise ratio by analyzing the signal-to-noise ratio of the energy inside and outside the upper band of the signal spectrum; and the signal bandwidth detection analyzes the in-band spectrum variation trend and accurately estimates the signal bandwidth.
Further, the time domain detection comprises double sliding window detection, signal energy detection and signal duration detection; the double sliding window detection accumulates time domain signal energy through a sliding window, and initially estimates a start-stop time sequence of a burst signal through a ratio of the double sliding window and a preset signal-to-noise ratio threshold; the signal energy detection is used for judging the signal-to-noise ratio of the burst signal section and filtering false alarm signals; the signal duration detection is used for filtering the burst signal with the short duration by taking the preset shortest burst signal length as a threshold, so as to obtain the duration of the burst signal left after filtering.
Further, the specific method for detecting the spectrum energy comprises the following steps:
carrying out discrete Fourier transform on input signal sampling data X (n) to obtain a whole-segment signal frequency spectrum X s (ii) a According to the input sampling signal bandwidth Bs, calculating and determining the frequency spectrum center X s To obtain the average energy in the bandwidth range
Will average the energy->
And a predetermined energy threshold Th e Comparing if the average energy is->
Greater than or equal to preset energy threshold Th e Then it represents that the segment of signal sample data exists signal, and makes time domain processing on itAnd (6) detecting.
Further, the specific method for detecting the signal bandwidth includes:
after the time domain detection is finished, discrete Fourier transform is independently carried out on each segment of signals to obtain a frequency spectrum X n The obtained signal is processed by a smoothing filter to obtain a smoothed frequency spectrum X' n (ii) a Search for Spectrum X' n All Peak peaks { Peak ] within bandwidth range Bs of i } and corresponding positions P i For P } k ，P k ∈{P i }, search for spectral energy value X 'to the left and right' l 、X′ r First lower than CxPeak k The points Pl and Pr of (b) are stored in the sequence { Pl j And { Pr } j In the method, C is a set threshold value; if no energy value is lower than CxPeak in the searching process k Or the appearance energy is higher than Peak k Skipping the search; after all peak searching is finished, obtaining corresponding signal bandwidth B = max { Pr { (Pr) } j }-min{Pl j }。
Further, the specific method of the double-sliding window detection is as follows:
inputting signal sampling data of signals existing after spectrum energy detection, and calculating the energy in sliding windows at the left side and the right side point by point
And calculating the ratio r of the two n And filtering r by adopting a preset signal-to-noise ratio threshold Th n The positive/negative threshold area ratio r is compared with the positive/negative threshold area ratio r of the positive/negative threshold part signal n The points corresponding to the maximum value/the minimum value are stored as the start/end point sequence { P ] of the burst signal according to the sequence of alternate appearance in time domain s1 ，P e1 ，P s2 ，P e2 ，...，P si ，P ei In which P is si ，P ei Respectively representing the start and end of the ith burst signal segment.
Further, the specific method for detecting the signal energy comprises the following steps:
calculating the start of a burst signalEnd point sequence { P s1 ，P e1 ，P s2 ，P e2 ，...，P si ，P ei Mean value of energy of each burst signal segment and residual noise segment L in the sequence n ＝L-∑ n (P en -P sn ) N, and judging whether the energy mean signal to noise ratio exceeds a preset signal to noise ratio threshold Th, if not, indicating that the burst signal section is a false alarm signal caused by noise, performing filtering processing, and performing signal duration detection on the burst signal sequence after the filtering processing, wherein L is the length of signal sampling data.
Further, the specific method for detecting the signal duration is as follows:
according to a preset signal length threshold Th t Will be spaced less than Th t The burst signal section is spliced into a burst signal, the duration of all burst signals obtained after splicing is calculated, and the output duration is more than or equal to Th t If there is no burst signal and corresponding duration parameter, the duration is greater than or equal to Th t The burst signal is regarded as a continuous signal, and the time domain detection is completed.
The invention also provides a time-frequency domain combined continuous and burst signal detection system, which comprises:
the receiving antenna is used for capturing a space electromagnetic radiation signal and converting the space electromagnetic radiation signal into an electric signal;
the radio frequency channel is used for carrying out analog frequency conversion, filtering and amplification processing on the electric signal and outputting the electric signal to the acquisition module;
the acquisition module is used for carrying out AD sampling and digital down-conversion on the received analog signal to generate signal sampling data at one end and outputting the signal sampling data to the detection module;
the detection module comprises a frequency domain detection module and a time domain detection module which are respectively used for detecting the signal sampling data in a frequency domain and a time domain, completing the detection discovery of continuous and burst signals and acquiring the time-frequency parameters of the signals;
the frequency domain detection module performs frequency spectrum analysis on a frequency domain to judge the existence of a signal in a bandwidth, and further determines the actual bandwidth of the signal after time domain detection is finished if the signal exists; the time domain detection module detects burst signals of existing signals in a time domain, and obtains the starting time of the burst signals and the signal duration parameters.
Compared with the prior art, the beneficial effects of adopting the technical scheme are as follows:
(1) And the operation of the monitoring equipment is simplified.
The invention aims at the broadband electromagnetic spectrum monitoring equipment to automatically detect the burst electromagnetic radiation signals and find the sampled signal data for detection, utilizes the time-frequency domain joint detection method to automatically detect the existing signals and time-frequency parameters, does not need manual observation and frame selection of the burst signals to determine the signal parameters, simplifies the design of the monitoring equipment, reduces manual operation and improves the reliability of engineering realization.
(2) The burst signal detection has low cost and high speed.
The detection method provided by the invention only needs CPU calculation processing, and does not need a high-performance GPU or a special AI processing chip to execute training or model loading. The algorithm optimizes the detection iteration times, can realize the rapid processing and calculation of signal sampling data, outputs parameter information such as the starting time, the signal duration and the like of burst signals, and greatly improves the detection speed of broadband frequency spectrum monitoring equipment on the burst electromagnetic radiation signals.
(3) The detection precision is high, and the stability is high.
Aiming at the automatic detection and discovery of the broadband electromagnetic spectrum monitoring equipment on the burst electromagnetic radiation signals, the invention adopts a time-frequency domain joint detection method, determines whether the signals exist or not through frequency domain detection, determines the existence signals of data sent to time domain detection, and improves the detection stability; the time domain detection part detects the bandwidth of the burst signal in the frequency domain through the energy ratio judgment of the sliding window, the energy mean judgment of the burst signal and the time length judgment of the burst signal, so that the high-precision detection of the burst signal is realized.
Drawings
FIG. 1 is a schematic diagram of a broadband electromagnetic spectrum sensing apparatus.
Fig. 2 is a schematic diagram of a time-frequency domain combined continuous and burst signal detection method applied to a broadband electromagnetic spectrum detection device.
FIG. 3 is a time domain diagram of signal detection according to an embodiment of the present invention.
FIG. 4 is a flowchart illustrating frequency domain detection according to an embodiment of the present invention.
FIG. 5 is a flow chart of time domain detection according to an embodiment of the present invention.
Detailed Description
Reference will now be made in detail to embodiments of the present application, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to the same or similar modules or modules having the same or similar functionality throughout. The embodiments described below with reference to the drawings are exemplary only for the purpose of explaining the present application and are not to be construed as limiting the present application. On the contrary, the embodiments of the application include all changes, modifications and equivalents coming within the spirit and terms of the claims appended hereto.
Example 1
In the existing broadband electromagnetic spectrum monitoring equipment, the duration of a signal obtained by sampling is generally determined by a fixed threshold, or a single-sliding window method or a double-sliding window method is directly adopted to analyze a signal mutation point and search for a burst signal, but the method is easily influenced by noise, cannot distinguish a continuous signal or continuous background noise, can cause a false alarm of the burst signal, and reduces the capability and efficiency of signal detection. Based on this, this embodiment provides a time-frequency domain combined continuous and burst signal detection method, which may be applied to a broadband electromagnetic spectrum monitoring device and may also be applied to other devices, and in this embodiment, the broadband electromagnetic spectrum detection device is taken as an example for description, and the specific scheme is as follows:
as shown in fig. 2 and fig. 3, a time-frequency domain combined continuous and burst signal detection method captures a spatial electromagnetic radiation signal by using an antenna through a broadband electromagnetic spectrum monitoring device, and converts the spatial electromagnetic radiation signal into an electrical signal; carrying out analog frequency conversion, filtering and amplification on the signal through a radio frequency channel, and outputting the signal to an acquisition module; the acquisition module performs AD sampling and digital down-conversion on a single-channel analog signal output by a receiving channel to generate a section of signal sampling data, and performs frequency domain detection and time domain detection on the signal sampling data in a frequency domain and a time domain respectively to complete detection discovery of continuous and burst signals and acquire time-frequency parameters of the signals; performing frequency spectrum analysis on a frequency domain, judging the existence of a signal in a bandwidth, and further determining the actual bandwidth of the signal after time domain detection is finished if the signal exists; and performing burst signal detection on the existing signals in the time domain, and acquiring the starting time of the burst signals and the signal duration parameters.
In the present embodiment, as shown in fig. 4, the frequency domain detection includes spectrum energy detection and signal bandwidth detection; the spectrum energy detection judges whether signals exist in input signal sampling data or not according to the signal-to-noise ratio by analyzing the signal-to-noise ratio of the energy inside and outside the upper band of the signal spectrum; and the signal bandwidth detection analyzes the in-band spectrum variation trend and accurately estimates the signal bandwidth.
Specifically, the specific method for detecting the spectrum energy comprises the following steps:
carrying out discrete Fourier transform on input signal sampling data X (n) with the sampling rate of Fs and the sampling signal bandwidth of Bs to obtain the whole signal spectrum X s (ii) a Determining a spectrum center X according to the bandwidth Bs of the input sampling signal s To obtain the average energy in the bandwidth range
Will average the energy->
And a predetermined energy threshold Th e Comparing if the average energy is->
Greater than or equal to preset energy threshold Th e If the signal bandwidth is detected, the section of signal sampling data is detected, and the section of signal sampling data is detected in the time domain.
The specific method for detecting the signal bandwidth comprises the following steps:
after the time domain detection is finished, discrete Fourier transform is independently carried out on each section of signal
Obtaining the frequency spectrum X of the whole signal n The obtained signal is processed by a smoothing filter to obtain a smoothed frequency spectrum X' n (ii) a Search for Spectrum X' n All Peak peaks { Peak ] within the bandwidth range Bs of i And corresponding position { P } i For P } k ，P k ∈{P i }, search for spectral energy values X 'to the left and right' l 、X′ r First lower than CxPeak k The points Pl and Pr of (b) are stored in the sequence { Pl j And { Pr } j In the method, C is a set threshold value; if no energy value is lower than C multiplied Peak in the searching process k Or the appearance energy is higher than Peak k Skipping the search; after all peak searching is finished, obtaining corresponding signal bandwidth B = max { Pr { (Pr) } j }-min{Pl j I.e. the sequence { Pr j The maximum value in the sequence minus Pl j Minimum value of
In the present embodiment, as shown in fig. 5, the time domain detection includes double sliding window detection, signal energy detection and signal duration detection; the double sliding window detection accumulates time domain signal energy through a sliding window, and initially estimates a start-stop time sequence of a burst signal through the ratio of the double sliding windows and a preset signal-to-noise ratio threshold; the signal energy detection is used for judging the signal-to-noise ratio of the burst signal section and filtering out false alarm signals; the signal duration detection is used for filtering the burst signal with the short duration by taking the preset shortest burst signal length as a threshold, so as to obtain the duration of the burst signal left after filtering.
Specifically, the specific method for detecting the double sliding windows includes:
inputting signal sampling data x (n) of the existing signal after the spectrum energy detection, wherein the sampling rate is Fs, and the data length is L. The length of the sliding window is set to be L w Calculating the energy in the sliding windows at the left and right sides point by point
And calculates the ratio of the two>
Filtering out r by using a preset signal-to-noise ratio threshold Th n Passing the +/-Th threshold part signal, dividing each positive/negative threshold region r n The points corresponding to the maximum value/the minimum value are stored as the start/end point sequence { P ] of the burst signal according to the alternate appearance sequence of the time domain s1 ，P e1 ，P s2 ，P e2 ，...，P si ，P ei In which P is si ，P ein Respectively representing the starting point and the end point of the ith burst signal segment; if a plurality of continuous positive threshold passing areas appear in the time domain, taking the last positive threshold in the area r n Point P corresponding to maximum value si Storing the sequence; if a plurality of continuous over-negative threshold areas appear on the time domain, taking r in the first negative threshold area n Minimum value corresponding point P ei The sequence is stored.
After determining the burst signal sequence, a false alarm caused by noise needs to be removed, so that signal energy detection is performed on the burst signal sequence, and the specific method is as follows:
calculating the energy average value of each section of burst signal in the sequence
And residual noise section L n ＝L-∑ n (P en -P sn ) Average value E of energy of-n noise ＝(∑|x(n)|-∑E i )/L n SNR of i ＝20lg(E i /E noise ) And judging whether the signal exceeds a preset signal-to-noise ratio threshold Th, if not, indicating that the burst signal section is a false alarm signal caused by noise, and filtering. To filtered out processed burst signal sequence { P' s1 ，P′ e1 ，P′ s2 ，P′ e2 ，...，P′ sj ，P′ ej And fourthly, detecting the signal duration.
Specifically, the specific method for detecting the signal duration is as follows:
according to a preset signal length threshold Th t Will be spaced less than Th t Is spliced into a burst signal, th t Determining according to the minimum resolution of subsequent signal processing, if the interval is less than the value, the subsequent processing cannot be distinguished into two signals, so that splicing processing can be directly carried out;
calculating all burst signal time length t obtained after splicing j ＝(P′ ej -P′ sj + 1)/Fs, output duration t j ≥Th t And the corresponding duration parameter. If not, satisfies t j ≥Th t The burst signal is regarded as a continuous signal, so that the time domain detection is completed.
Example 2
The present embodiment further provides a system of a time-frequency domain combined continuous and burst signal detection method based on embodiment 1, including:
the receiving antenna is used for capturing a space electromagnetic radiation signal and converting the space electromagnetic radiation signal into an electric signal;
the radio frequency channel is used for carrying out analog frequency conversion, filtering and amplification processing on the electric signal and outputting the electric signal to the acquisition module;
the acquisition module is used for carrying out AD sampling and digital down-conversion on the received analog signal to generate signal sampling data at one end and outputting the signal sampling data to the detection module;
the detection module comprises a frequency domain detection module and a time domain detection module which are respectively used for detecting the signal sampling data in a frequency domain and a time domain, completing the detection discovery of continuous and burst signals and acquiring the time-frequency parameters of the signals;
the frequency domain detection module performs frequency spectrum analysis on a frequency domain to judge the existence of a signal in a bandwidth, and further determines the actual bandwidth of the signal after time domain detection is finished if the signal exists; the time domain detection module detects burst signals of existing signals in a time domain, and obtains the starting time of the burst signals and the signal duration parameters.
In this embodiment, the frequency domain detection module includes a spectrum energy detection module and a signal bandwidth detection module; the spectrum energy detection module judges whether a signal exists in input signal sampling data or not according to the signal-to-noise ratio by analyzing the signal-to-noise ratio of the in-band and out-band energy on the signal spectrum; and the signal bandwidth detection module analyzes the in-band spectrum variation trend and accurately estimates the signal bandwidth.
The time domain detection module comprises a double sliding window detection module, a signal energy detection module and a signal duration detection module; the double sliding window detection module accumulates time domain signal energy through a sliding window and preliminarily estimates a start-stop time sequence of the burst signal through the ratio of the double sliding windows and a preset signal-to-noise ratio threshold; the signal energy detection module is used for judging the signal-to-noise ratio of the burst signal section and filtering out false alarm signals; the signal duration detection module is used for filtering the burst signal with the too short duration by taking the preset shortest burst signal length as a threshold, so as to obtain the duration of the burst signal left after filtering.
It should be noted that, in the description of the embodiments of the present invention, it should be noted that, unless explicitly stated or limited otherwise, the terms "disposed" and "connected" should be interpreted broadly, and may be, for example, fixedly connected, detachably connected, or integrally connected; may be directly connected or indirectly connected through an intermediate. The specific meanings of the above terms in the present invention can be understood in specific cases by those skilled in the art; the drawings in the embodiments are used for clearly and completely describing the technical scheme in the embodiments of the invention, and obviously, the described embodiments are a part of the embodiments of the invention, but not all of the embodiments. The components of embodiments of the present invention generally described and illustrated in the figures herein may be arranged and designed in a wide variety of different configurations.
While embodiments of the present application have been shown and described above, it will be understood that the above embodiments are exemplary and should not be construed as limiting the present application and that changes, modifications, substitutions and alterations in the above embodiments may be made by those of ordinary skill in the art within the scope of the present application.
Claims (9)
1. A time-frequency domain combined continuous and burst signal detection method is characterized in that for a section of signal sampling data generated through acquisition preprocessing, frequency domain detection and time domain detection are respectively carried out on the signal sampling data on a frequency domain and a time domain, so that detection discovery of continuous and burst signals and acquisition of time-frequency parameters of the signals are completed; performing frequency spectrum analysis on a frequency domain, judging the existence of a signal in a bandwidth, and further determining the actual bandwidth of the signal after time domain detection is finished if the signal exists; and performing burst signal detection on the existing signals in the time domain, and acquiring the starting time of the burst signals and the signal duration parameters.
2. The time-frequency domain combined continuous and burst signal detection method of claim 1, wherein the frequency domain detection comprises spectral energy detection and signal bandwidth detection; the spectrum energy detection judges whether signals exist in input signal sampling data or not according to the signal-to-noise ratio by analyzing the signal-to-noise ratio of the energy inside and outside the upper band of the signal spectrum; and the signal bandwidth detection analyzes the in-band spectrum variation trend and accurately estimates the signal bandwidth.
3. The time-frequency domain combined continuous and burst signal detection method according to claim 1 or 2, wherein the time domain detection comprises double sliding window detection, signal energy detection and signal duration detection; the double sliding window detection accumulates time domain signal energy through a sliding window, and initially estimates a start-stop time sequence of a burst signal through a ratio of the double sliding window and a preset signal-to-noise ratio threshold; the signal energy detection is used for judging the signal-to-noise ratio of the burst signal section and filtering false alarm signals; the signal duration detection is used for filtering the burst signal with the short duration by taking the preset shortest burst signal length as a threshold, so as to obtain the duration of the burst signal left after filtering.
4. The method according to claim 2, wherein the specific method of detecting the spectral energy is as follows:
carrying out discrete Fourier transform on input signal sampling data X (n) to obtain a whole-segment signal frequency spectrum X s (ii) a Determining a spectrum center X according to the bandwidth Bs of the input sampling signal s To obtain the bandwidth rangeAverage energy of
Will average the energy->
And a predetermined energy threshold Th e Comparing if the average energy is->
Greater than or equal to preset energy threshold Th e Then, it indicates that the signal exists in the segment of signal sample data, and performs time domain detection on it.
5. The method of claim 4, wherein the method for detecting the signal bandwidth comprises:
after the time domain detection is finished, discrete Fourier transform is independently carried out on each section of signal to obtain a frequency spectrum X n The obtained signal is processed by a smoothing filter to obtain a smoothed frequency spectrum X' n (ii) a Search spectrum X' n All Peak peaks { Peak ] within the bandwidth range Bs of i And corresponding position { P } i For P } k ，P k ∈{P i Left and right search for spectral energy first below C × Peak k Respectively stored in the sequence { Pl } j And { Pr } j Among them, C is a set threshold; if no energy value is lower than C multiplied Peak in the searching process k Or the appearance energy is higher than Peak k Skipping the search; after all peak searching is finished, obtaining the corresponding signal bandwidth B = max { Pr { (Pr) } j }-min{Pl j }。
6. The method of claim 3, wherein the method for detecting the continuous and burst signals in the time-frequency domain is specifically:
inputting signal sampling data of signals existing after spectrum energy detection, and calculating the energy in sliding windows at the left side and the right side point by point
And calculating the ratio r of the two n And filtering r by adopting a preset signal-to-noise ratio threshold Th n The positive/negative threshold area ratio r is compared with the positive/negative threshold area ratio r of the positive/negative threshold part signal n The points corresponding to the maximum value/the minimum value are stored as a start/end sequence of the burst signal composed of the start point and the end point of the burst signal segment in the sequence of alternate occurrence in time domain.
7. The method of claim 6, wherein the signal energy detection is performed by:
and calculating the signal-to-noise ratio of the energy mean value of each burst signal segment in the start/end point sequence of the burst signal and the energy mean value of the residual noise segment, judging whether the energy mean value exceeds a preset signal-to-noise ratio threshold Th, if the energy mean value does not exceed the preset signal-to-noise ratio threshold Th, indicating that the burst signal segment is a false alarm signal caused by noise, performing filtering processing, and performing signal duration detection on the burst signal sequence after the filtering processing.
8. The method of claim 7, wherein the specific method for detecting the signal duration is as follows:
according to a preset signal length threshold Th t Will be spaced less than Th t The burst signal section is spliced into a burst signal, the duration of all burst signals obtained after splicing is calculated, and the output duration is more than or equal to a threshold Th t If there is no burst signal and corresponding time length parameter, the time length is greater than or equal to threshold Th t The burst signal is regarded as a continuous signal, and the time domain detection is completed.
9. A time-frequency domain joint continuous and burst signal detection system, comprising:
the receiving antenna is used for capturing a space electromagnetic radiation signal and converting the space electromagnetic radiation signal into an electric signal;
the radio frequency channel is used for carrying out analog frequency conversion, filtering and amplification processing on the electric signal and outputting the electric signal to the acquisition module;
the acquisition module is used for carrying out AD sampling and digital down-conversion on the received analog signal to generate signal sampling data at one end and outputting the signal sampling data to the detection module;
the detection module comprises a frequency domain detection module and a time domain detection module which are respectively used for detecting the signal sampling data in a frequency domain and a time domain, completing detection discovery of continuous and burst signals and acquiring time-frequency parameters of the signals;
the frequency domain detection module performs frequency spectrum analysis on a frequency domain to judge the existence of a signal in a bandwidth, and further determines the actual bandwidth of the signal after time domain detection is finished if the signal exists; the time domain detection module detects burst signals of existing signals in a time domain, and obtains the starting time of the burst signals and the signal duration parameters.
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| CN116244637A (en) * | 2023-05-12 | 2023-06-09 | 中星联华科技（北京）有限公司 | Burst signal acquisition method and device |
| CN116506004A (en) * | 2023-06-26 | 2023-07-28 | 南京控维通信科技有限公司 | Collaborative communication PCMA system signal searching method and device |
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| CN116244637A (en) * | 2023-05-12 | 2023-06-09 | 中星联华科技（北京）有限公司 | Burst signal acquisition method and device |
| CN116506004A (en) * | 2023-06-26 | 2023-07-28 | 南京控维通信科技有限公司 | Collaborative communication PCMA system signal searching method and device |
| CN116506004B (en) * | 2023-06-26 | 2023-09-15 | 南京控维通信科技有限公司 | Collaborative communication PCMA system signal searching method and device |
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