CN116359876B - Radar signal processing method - Google Patents
Radar signal processing method Download PDFInfo
- Publication number
- CN116359876B CN116359876B CN202310618064.7A CN202310618064A CN116359876B CN 116359876 B CN116359876 B CN 116359876B CN 202310618064 A CN202310618064 A CN 202310618064A CN 116359876 B CN116359876 B CN 116359876B
- Authority
- CN
- China
- Prior art keywords
- signal
- value
- processing
- radar
- reaction
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
- 238000003672 processing method Methods 0.000 title claims abstract description 12
- 238000012545 processing Methods 0.000 claims abstract description 318
- 238000006243 chemical reaction Methods 0.000 claims abstract description 130
- 238000004458 analytical method Methods 0.000 claims abstract description 90
- 238000001514 detection method Methods 0.000 claims abstract description 50
- 230000000694 effects Effects 0.000 claims abstract description 29
- 238000001914 filtration Methods 0.000 claims abstract description 22
- 238000011156 evaluation Methods 0.000 claims abstract description 7
- 238000005070 sampling Methods 0.000 claims abstract description 7
- 238000002474 experimental method Methods 0.000 claims description 61
- 238000000034 method Methods 0.000 claims description 39
- 238000004364 calculation method Methods 0.000 claims description 36
- 238000003384 imaging method Methods 0.000 claims description 21
- 230000000007 visual effect Effects 0.000 claims description 13
- 230000002159 abnormal effect Effects 0.000 claims description 9
- 230000035484 reaction time Effects 0.000 claims description 7
- 238000010606 normalization Methods 0.000 claims description 3
- 230000009466 transformation Effects 0.000 claims 2
- 230000000737 periodic effect Effects 0.000 abstract 1
- 230000009286 beneficial effect Effects 0.000 description 3
- 238000010586 diagram Methods 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 238000011835 investigation Methods 0.000 description 2
- 238000012797 qualification Methods 0.000 description 2
- 238000002592 echocardiography Methods 0.000 description 1
- 230000007613 environmental effect Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000012544 monitoring process Methods 0.000 description 1
Classifications
-
- H—ELECTRICITY
- H03—ELECTRONIC CIRCUITRY
- H03H—IMPEDANCE NETWORKS, e.g. RESONANT CIRCUITS; RESONATORS
- H03H17/00—Networks using digital techniques
- H03H17/02—Frequency selective networks
- H03H17/0248—Filters characterised by a particular frequency response or filtering method
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S13/00—Systems using the reflection or reradiation of radio waves, e.g. radar systems; Analogous systems using reflection or reradiation of waves whose nature or wavelength is irrelevant or unspecified
- G01S13/88—Radar or analogous systems specially adapted for specific applications
- G01S13/89—Radar or analogous systems specially adapted for specific applications for mapping or imaging
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S7/00—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00
- G01S7/02—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00 of systems according to group G01S13/00
- G01S7/41—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00 of systems according to group G01S13/00 using analysis of echo signal for target characterisation; Target signature; Target cross-section
- G01S7/411—Identification of targets based on measurements of radar reflectivity
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02A—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
- Y02A90/00—Technologies having an indirect contribution to adaptation to climate change
- Y02A90/10—Information and communication technologies [ICT] supporting adaptation to climate change, e.g. for weather forecasting or climate simulation
Landscapes
- Engineering & Computer Science (AREA)
- Remote Sensing (AREA)
- Radar, Positioning & Navigation (AREA)
- Physics & Mathematics (AREA)
- Computer Networks & Wireless Communication (AREA)
- General Physics & Mathematics (AREA)
- Computer Hardware Design (AREA)
- Mathematical Physics (AREA)
- Electromagnetism (AREA)
- Radar Systems Or Details Thereof (AREA)
Abstract
The invention belongs to the technical field of radar signal processing, in particular to a radar signal processing method, which comprises the steps of carrying out rapid and accurate transceiving conversion on a radar signal obtained by sampling through a signal transceiving conversion processing module, keeping the signal at proper time and amplitude, layering the kept radar signal through a signal layering processing module, converting the layered signal into a digital signal through a signal digitizing processing module, carrying out digital filtering through a digital filtering processing module, and carrying out conversion processing on the denoised signal through a signal conversion processing module; the invention obviously improves the quality and reliability of signals, enhances the detection capability and anti-interference capability of the radar system, effectively detects the current signal processing effect and the processing efficiency condition when the signal processing is finished, combines the periodic evaluation of the signal processing in the supervision period, judges the accuracy of the radar detection result through experimental detection and analysis, and ensures the stable and normal operation of the radar system.
Description
Technical Field
The invention relates to the technical field of radar signal processing, in particular to a radar signal processing method.
Background
Radar is used for finding targets and measuring the space positions of the targets by using a radio method, the working principle of the radar is to continuously irradiate the targets and receive echoes of the targets so as to determine the space positions, the distance, the speed and other parameters of the targets, the radar has wide application in modern military science and technology and civil fields, such as aerospace, marine fishery, geological exploration, transportation, environmental monitoring and the like, and the continuous progress of radar technology and the continuous expansion of application scenes lead the radar to play an increasingly important role in various fields of human society;
at present, after receiving radar signals, radar signals are difficult to effectively process so as to improve the quality and reliability of the signals, when the signal processing is finished, the current signal processing effect and the processing efficiency condition cannot be effectively detected and fed back for early warning, the signal processing effect and the processing efficiency condition in a supervision period cannot be combined to carry out period assessment of the signal processing, and the accuracy of radar detection results cannot be judged through experimental detection analysis when the signal processing assessment is abnormal in a supervision period, so that the method is not beneficial to timely and pointedly improved by management personnel, and the stable and normal operation of a radar system is difficult to ensure;
in view of the above technical drawbacks, a solution is now proposed.
Disclosure of Invention
The invention aims to provide a radar signal processing method, which solves the problems that in the prior art, radar signals are difficult to effectively process so as to improve the quality and reliability of the signals, the current signal processing effect and the processing efficiency condition cannot be effectively detected and fed back for early warning, the period evaluation of the signal processing cannot be carried out, the accuracy of the radar detection result is not judged, the aim of improving the aim of management personnel in time is not facilitated, and the stable and normal operation of a radar system is difficult to ensure.
In order to achieve the above purpose, the present invention provides the following technical solutions:
a radar signal processing method, comprising the steps of:
step one, converting an observed radar signal into electromagnetic waves through a radar antenna so as to collect a radar signal sample, and sending the collected radar signal sample to a radar signal processing platform;
step two, a signal receiving and transmitting conversion processing module in the radar signal processing platform carries out rapid and accurate receiving and transmitting conversion on the sampled radar signal, and keeps the signal at proper time and amplitude to avoid signal distortion and damage, and sends the kept radar signal to a signal layering processing module;
step three, layering the held radar signals by a signal layering processing module to distinguish different distances, orientations and heights, extracting target characteristics through processing of the layered signals, realizing target detection and imaging, and sending the layered signals to a signal digitizing processing module;
step four, the signal digital processing module selects wavelength as a distance unit, converts the layered signals into digital signals, sends the digital signals to the digital filtering processing module, and carries out digital filtering based on a high-pass filtering, band-pass filtering or band-stop filtering mode to remove noise and interference signals, and sends the signals after noise removal to the signal conversion processing module;
and fifthly, the signal conversion processing module converts the sampling rate of the denoised signal into a higher sampling rate so as to improve the resolution of subsequent processing, and converts the bandwidth of the denoised signal into a wider bandwidth so as to be capable of accommodating more target signals, and performs fast Fourier transform on the denoised signal so as to improve the signal processing efficiency.
Further, after the radar signal processing is completed, the effect detection and evaluation module in the radar signal processing platform detects and analyzes through the signal processing effect to generate a processing qualified signal or a processing unqualified signal corresponding to the radar signal processing process, the processing qualified signal or the processing unqualified signal is sent to the radar signal processing platform, the radar signal processing platform stores the times of generating the processing qualified signal together or stores the times of generating the processing unqualified signal together, and the radar signal processing platform sends the processing unqualified signal to the visual display early warning module for display.
Further, the specific analysis process of the treatment effect detection analysis is as follows:
collecting signal-to-noise ratio and signal dynamic range of the signal before processing, marking the signal-to-noise ratio and signal dynamic range as pre-confidence-to-noise ratio and pre-confidence-to-dynamic range, collecting the signal-to-noise ratio and signal dynamic range of the signal after processing as post-confidence-to-noise ratio and post-confidence-to-dynamic range, judging that the signal-to-noise ratio and the signal dynamic range of the signal after processing are normal if the post-confidence-to-noise ratio and the post-confidence-to-dynamic range meet the corresponding numerical requirements of the radar signal after processing, otherwise, performing difference calculation on the post-confidence-to-noise ratio and the pre-confidence-to-noise ratio to obtain a signal-to-noise ratio improvement value, acquiring a dynamic range improvement value by the same method, and respectively performing numerical comparison on the signal-to-noise ratio improvement value and the dynamic range improvement value with a preset signal-to-noise ratio improvement threshold and a preset dynamic range improvement threshold;
if the signal-to-noise ratio improvement value does not exceed the preset signal-to-noise ratio improvement threshold or the dynamic range improvement value does not exceed the preset dynamic range improvement threshold, judging that the signal processing effect is poor and generating a processing disqualification signal corresponding to the signal processing process; and when the signal-to-noise ratio and the signal dynamic range of the processed signal are both normal or the signal-to-noise ratio improvement value exceeds a preset signal-to-noise ratio improvement threshold value and the dynamic range improvement value exceeds a preset dynamic range improvement threshold value, carrying out signal resolution analysis and radar imaging quality analysis on the processed signal.
Further, the specific analysis process of the signal resolution analysis and the radar imaging quality analysis is as follows:
acquiring a signal resolution magnitude value of the processed signal, comparing the signal resolution magnitude value with a preset signal resolution magnitude value, judging that the signal resolution is normal if the signal resolution magnitude value exceeds a preset signal resolution threshold value, and judging that the signal resolution is abnormal if the signal resolution magnitude value does not exceed the preset signal resolution threshold value; and acquiring image quality information after radar imaging, wherein the image quality information comprises an image resolution value, an image definition value and an image noise value, carrying out normalization calculation on the image resolution value, the image definition value and the image noise value to obtain an image representation value, carrying out numerical comparison on the image representation value and a preset image representation threshold, judging that the radar imaging quality is normal if the image representation value exceeds the preset image representation threshold, judging that the radar imaging quality is abnormal if the image representation value does not exceed the preset image representation threshold, generating a processing qualified signal when judging that the signal resolution is normal and the radar imaging quality is normal, and generating a processing disqualification signal when the rest conditions are the same.
Further, after the radar signal processing is completed, a processing reaction detection analysis module in the radar signal processing platform processes reaction detection analysis to generate a reaction qualified signal or a reaction unqualified signal corresponding to the radar signal processing process, an effective feedback unqualified value is obtained when the reaction unqualified signal is generated, the reaction qualified signal or the reaction unqualified signal and the effective feedback unqualified value are sent to the radar signal processing platform, the radar signal processing platform stores the times of generating the reaction qualified signal together or the times of generating the reaction unqualified signal together, the corresponding effective feedback unqualified value is stored, and the radar signal processing platform sends the reaction unqualified signal to a visual display and early warning module for display.
Further, the specific analysis process for the processing reaction detection analysis is as follows:
the method comprises the steps that the time when a radar signal processing platform receives a collected radar signal sample is collected and marked as a signal receiving time, the time when the radar signal processing platform starts to process a corresponding radar signal sample is collected and marked as a signal processing starting time, the time when the radar signal processing platform finishes processing a corresponding radar signal sample is collected and marked as a signal processing ending time, time difference calculation is conducted on the signal processing starting time and the signal receiving time to obtain signal reaction time, and time difference calculation is conducted on the signal processing ending time and the signal processing starting time to obtain signal processing time;
performing numerical calculation on the signal reaction time length and the signal processing time length to obtain an effective feed value, performing numerical comparison on the effective feed value and a preset effective feed threshold value, generating a reaction qualified signal if the effective feed value does not exceed the preset effective feed threshold value, generating a reaction unqualified signal if the effective feed value exceeds the preset effective feed threshold value, performing difference calculation on the effective feed value and the preset effective feed threshold value when generating the reaction unqualified signal, and marking the difference result of the effective feed value and the effective feed threshold value as an effective feed unqualified value.
Further, the radar signal processing platform further comprises a signal processing summarizing and analyzing module, the signal summarizing and analyzing module is used for setting a signal processing supervision period and summarizing and analyzing signal processing conditions in the signal processing supervision period, and the specific operation process of the signal summarizing and analyzing module comprises the following steps:
collecting the times of generating the processing qualified signals and the times of generating the processing unqualified signals in a signal processing supervision period, carrying out ratio calculation on the times of generating the processing unqualified signals and the times of generating the processing qualified signals to obtain a processing representation value, and carrying out assignment summation calculation on the times of generating the processing unqualified signals and the processing representation value to obtain a processing analysis value; the processing analysis value is compared with a preset processing analysis threshold value in a numerical mode, if the processing analysis value exceeds the preset processing analysis threshold value, a punishment judgment symbol T1 is given, and if the processing analysis value does not exceed the preset processing analysis threshold value, a punishment judgment symbol T2 is given;
collecting the times of generating the reaction qualified signals and the times of generating the reaction unqualified signals in a signal processing supervision period, collecting the effective feedback unqualified values corresponding to each reaction unqualified signal, carrying out summation calculation on all the effective feedback unqualified values and taking an average value to obtain an effective feedback average value, carrying out ratio calculation on the times of generating the reaction unqualified signals and the times of generating the reaction qualified signals to obtain a reaction representation value, and carrying out numerical calculation on the times of generating the reaction unqualified signals, the effective feedback average value and the reaction representation value to obtain a reaction analysis value;
the reaction analysis value is compared with a preset reaction analysis threshold value in a numerical mode, if the reaction analysis value exceeds the preset reaction analysis threshold value, a reaction judgment symbol F1 is generated, and if the reaction analysis value does not exceed the preset reaction analysis threshold value, a reaction judgment symbol F2 is generated; if T1 is given to F1, a supervision high early warning signal is generated, if T2 is given to F2, a supervision normal signal is generated, and the rest conditions generate supervision low early warning signals; and sending the supervision high early warning signal, the supervision low early warning signal or the supervision normal signal to a radar signal processing platform, and sending the supervision high early warning signal or the supervision low early warning signal to a visual display early warning module by the radar signal processing platform for displaying and sending corresponding early warning.
Further, the radar signal processing platform further comprises an experiment detection feedback module, when the supervision normal signal is generated, the radar signal processing platform sends the supervision normal signal to the experiment detection feedback module, the experiment detection feedback module is used for carrying out a plurality of radar experiments and collecting experiment data, the experiment data comprises a target distance deviation value, a target speed deviation value and a target azimuth deviation value, and the target distance deviation value, the target speed deviation value and the target azimuth deviation value are subjected to numerical calculation to obtain a capture quality coefficient corresponding to the radar experiment;
and carrying out numerical comparison on the capture quality coefficient and a preset capture quality coefficient, if the capture quality coefficient does not exceed the preset capture quality coefficient, marking the corresponding radar experiment as a high-quality experiment, otherwise, marking the corresponding radar experiment as a high-deviation experiment, carrying out ratio calculation on the number of the high-deviation experiment and the number of the high-quality experiment to obtain a deviation ratio value, carrying out numerical comparison on the deviation ratio value and a preset deviation ratio threshold value, generating an experiment qualified signal if the deviation ratio value does not exceed the preset deviation ratio threshold value, generating an experiment early warning signal if the deviation ratio value exceeds the preset deviation ratio threshold value, transmitting the experiment qualified signal or the experiment early warning signal to a radar signal processing platform, and transmitting the experiment early warning signal to a visual display early warning module for display and corresponding early warning by the radar signal processing platform.
Compared with the prior art, the invention has the beneficial effects that:
1. in the invention, the sampled radar signals are subjected to rapid and accurate transceiving conversion through the signal transceiving conversion processing module, the signals are kept at proper time and amplitude to avoid signal distortion and damage, the signal layering processing module layers the kept radar signals to distinguish different distances, orientations and heights, the signal digitizing processing module converts the layered signals into digital signals, the digital filtering processing module performs digital filtering to remove noise and interference signals, the signal conversion processing module performs conversion processing on the noise-removed signals, the quality and reliability of the signals are obviously improved, the detection capability and the anti-interference capability of a radar system are enhanced, the acquisition quality of signal information is ensured, and the normal operation of the radar system is ensured; the effect detection and evaluation module is used for detecting and analyzing the signal processing effect, and the processing reaction detection and analysis module is used for processing reaction detection and analysis, so that management staff can know and master the current radar signal processing condition in time and take relevant countermeasures according to the need to carry out corresponding improvement;
2. in the invention, the signal summarizing and analyzing module is used for setting a signal processing supervision period, summarizing and analyzing the signal processing conditions in the signal processing supervision period, helping corresponding management personnel to know the radar signal processing effect and the radar signal processing efficiency condition in time, and carrying out targeted improvement measures in time so as to ensure the subsequent processing effect and the processing efficiency of the radar signal; when the supervision normal signal is generated, the experiment detection feedback module collects experiment data by carrying out radar experiments for a plurality of times, an experiment qualified signal or an experiment early warning signal is generated based on the experiment data through analysis, the radar signal processing platform sends the experiment early warning signal to the visual display early warning module for display and corresponding early warning, corresponding management staff timely conduct reason investigation and judgment, and corresponding improvement measures are carried out so as to ensure the accuracy of subsequent radar detection results.
Drawings
For the convenience of those skilled in the art, the present invention will be further described with reference to the accompanying drawings;
FIG. 1 is a flow chart of the method of the present invention;
FIG. 2 is a system block diagram of a first embodiment of the present invention;
fig. 3 is a system block diagram of the second, third and fourth embodiments of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Example 1
As shown in fig. 1, the radar signal processing method provided by the invention is realized based on a radar signal processing platform, and as shown in fig. 2, the radar signal processing platform comprises a signal receiving and transmitting conversion processing module, a signal layering processing module, a signal digitizing processing module, a digital filtering processing module and a signal conversion processing module, and the radar signal is processed through the radar signal processing platform, so that the quality and reliability of the radar signal are obviously improved, the detection capability and the anti-interference capability of a radar system are enhanced, the acquisition quality of signal information is ensured, and the normal operation of the radar system is ensured; specifically, the radar signal processing method includes the steps of:
step one, converting an observed radar signal into electromagnetic waves through a radar antenna so as to collect a radar signal sample, and sending the collected radar signal sample to a radar signal processing platform;
step two, a signal receiving and transmitting conversion processing module in the radar signal processing platform carries out rapid and accurate receiving and transmitting conversion on the sampled radar signal, and keeps the signal at proper time and amplitude to avoid signal distortion and damage, and sends the kept radar signal to a signal layering processing module;
step three, layering the held radar signals by a signal layering processing module to distinguish different distances, orientations and heights, extracting target characteristics through processing of the layered signals, realizing target detection and imaging, and sending the layered signals to a signal digitizing processing module;
step four, the signal digital processing module selects wavelength as a distance unit, converts the layered signals into digital signals, sends the digital signals to the digital filtering processing module, and carries out digital filtering based on a high-pass filtering, band-pass filtering or band-stop filtering mode to remove noise and interference signals, and sends the signals after noise removal to the signal conversion processing module;
and fifthly, the signal conversion processing module converts the sampling rate of the denoised signal into a higher sampling rate so as to improve the resolution of subsequent processing, and converts the bandwidth of the denoised signal into a wider bandwidth so as to be capable of accommodating more target signals, and performs fast Fourier transform on the denoised signal so as to improve the signal processing efficiency.
Example two
As shown in fig. 3, the difference between the present embodiment and embodiment 1 is that after the radar signal processing is completed, the effect detection and evaluation module in the radar signal processing platform performs signal processing effect detection and analysis to generate a processing qualified signal or a processing unqualified signal corresponding to the radar signal processing process, and sends the processing qualified signal or the processing unqualified signal to the radar signal processing platform, the radar signal processing platform adds and stores the number of times of generating the processing qualified signal or the number of times of generating the processing unqualified signal together, and the radar signal processing platform sends the processing unqualified signal to the visual display and early warning module for display, so as to play a role of reminding and early warning, thereby helping a manager to know and master the current radar signal processing condition in time, and take relevant countermeasures as required to improve the signal processing effect; the specific analysis process of the treatment effect detection analysis is as follows:
collecting the signal-to-noise ratio and the signal dynamic range of the signal before processing, and marking the signal-to-noise ratio and the signal dynamic range of the signal after processing as a pre-confidence ratio and a pre-confidence dynamic range, wherein the signal-to-noise ratio is the ratio of the intensity of the received useful signal to the intensity of the received interference signal (noise and interference), and the larger the value of the signal-to-noise ratio is, the better the value of the signal-to-noise ratio is; the signal dynamic range refers to the difference between the maximum value and the minimum value of the signal, and the larger the value of the signal dynamic range is, the higher the instantaneous peak value of the signal is, and the more the detail is reserved; if the post-confidence noise ratio and the post-confidence dynamic range meet the corresponding numerical requirements of the processed radar signal, judging that the signal-to-noise ratio and the signal dynamic range of the processed signal are normal, otherwise, performing difference calculation on the post-confidence noise ratio and the pre-confidence noise ratio to obtain a signal-to-noise ratio improvement value, and acquiring a dynamic range improvement value in the same way, wherein the larger the numerical values of the signal-to-noise ratio improvement value and the dynamic range improvement value are, the better the signal processing improvement effect is; respectively carrying out numerical comparison on the signal-to-noise ratio improvement value and the dynamic range improvement value and a preset signal-to-noise ratio improvement threshold value and a preset dynamic range improvement threshold value;
if the signal-to-noise ratio improvement value does not exceed the preset signal-to-noise ratio improvement threshold or the dynamic range improvement value does not exceed the preset dynamic range improvement threshold, judging that the signal processing effect is poor and generating a processing disqualification signal corresponding to the signal processing process; when judging that the signal-to-noise ratio and the signal dynamic range of the processed signal are normal or when the signal-to-noise ratio improvement value exceeds a preset signal-to-noise ratio improvement threshold value and the dynamic range improvement value exceeds a preset dynamic range improvement threshold value, acquiring a signal resolution value of the processed signal, comparing the signal resolution value with a preset signal resolution value in a numerical mode, judging that the signal resolution is normal if the signal resolution value exceeds the preset signal resolution threshold value, and judging that the signal resolution is abnormal if the signal resolution value does not exceed the preset signal resolution threshold value; the image quality information after radar imaging is acquired, wherein the image quality information comprises an image resolution value, an image definition value and an image noise value; the image resolution magnitude and the image definition magnitude are data magnitudes representing the image resolution magnitude and the image definition magnitude, and the image noise magnitude is a data magnitude representing the image noise condition;
by the formulaCarrying out normalization calculation on an image resolution value FQ1, an image definition value FQ2 and an image noise value FQ3 to obtain an image representation value TB, wherein a1, a2 and a3 are preset weight coefficients, and a3 is more than a2 and more than a1 is more than 0; and, the larger the value of the image representation value TB is, the better the imaging effect of the secondary radar is; comparing the image representation value with a preset image representation threshold value in a numerical mode, judging that the radar imaging quality is normal if the image representation value exceeds the preset image representation threshold value, and judging that the radar imaging quality is abnormal if the image representation value does not exceed the preset image representation threshold value; generating a processing qualified signal when the signal resolution is judged to be normal and the radar imaging quality is judged to be normal, and generating a processing unqualified signal when the signal resolution is judged to be abnormal and/or the radar imaging quality is judged to be abnormal.
After the radar signal processing is completed, a processing reaction detection analysis module in the radar signal processing platform processes reaction detection analysis to generate a reaction qualified signal or a reaction unqualified signal corresponding to the radar signal processing process, obtains an effective feedback unqualified value when the reaction unqualified signal is generated, sends the reaction qualified signal or the reaction unqualified signal and the effective feedback unqualified value to the radar signal processing platform, the radar signal processing platform stores the times of generating the reaction qualified signal together or stores the times of generating the reaction unqualified signal together, and stores the corresponding effective feedback unqualified value, and the radar signal processing platform sends the reaction unqualified signal to a visual display early warning module for display, plays a warning and early warning role, is beneficial to a manager to timely know and master the current reaction condition and the processing efficiency condition, and takes relevant counter measures according to requirements to correspondingly improve; the specific analytical procedure for the treatment reaction detection analysis is as follows:
the method comprises the steps of collecting the time when a radar signal processing platform receives a collected radar signal sample and marking the time as a signal receiving time, collecting the time when the radar signal processing platform starts to process a corresponding radar signal sample and marking the time as a signal processing starting time, collecting the time when the radar signal processing platform finishes processing a corresponding radar signal sample and marking the time as a signal processing ending time, performing time difference calculation on the signal processing starting time and the signal receiving time to obtain signal reaction time, wherein the larger the value of the signal reaction time is, the more slow the reaction is, the larger the value of the signal processing time is, and the time difference calculation is performed on the signal processing ending time and the signal processing starting time to obtain the signal processing time, and the slower the processing efficiency is;
by the formulaCarrying out numerical calculation on the signal reaction time HQ1 and the signal processing time HQ2 to obtain an effective feed value XK, wherein fu1 and fu2 are preset weight coefficients, and fu1 is more than fu2 is more than 1; in addition, the value of the effective feedback value XK is in a direct proportion relation with the signal reaction duration HQ1 and the signal processing duration HQ2, and the larger the value of the effective feedback value XK is, the more timely the signal processing is and the higher the processing efficiency is; performing effective feedback value and preset effective feedback threshold valueAnd comparing the values, if the effective feed value XK does not exceed the preset effective feed threshold, generating a reaction qualified signal, if the effective feed value XK exceeds the preset effective feed threshold, generating a reaction disqualification signal, and when the reaction disqualification signal is generated, carrying out difference calculation on the effective feed value XK and the preset effective feed threshold, and marking the difference result of the effective feed value XK and the preset effective feed threshold as an effective feed disfunction value.
Example III
As shown in fig. 3, the difference between the present embodiment and embodiments 1 and 2 is that the radar signal processing platform further includes a signal processing summary analysis module, where the signal summary analysis module is configured to set a signal processing supervision period, and perform summary analysis on signal processing conditions in the signal processing supervision period, and a specific operation procedure of the signal summary analysis module is as follows:
collecting the times of generating qualified signals and the times of generating unqualified signals in a signal processing supervision period, calculating the ratio of the times of generating unqualified signals to the times of generating qualified signals to obtain a processing representation value, and using a formulaCarrying out assignment summation calculation on the times SK for generating the processing disqualified signals and the processing representation value CB to obtain a processing analysis value CF; wherein tp1 and tp2 are preset weight coefficients, and tp2 is more than tp1 and more than 0; and the larger the value of the processing analysis value CF is, the worse the radar signal processing effect in the signal processing supervision period is; the processing analysis value CF is compared with a preset processing analysis threshold value in a numerical mode, if the processing analysis value CF exceeds the preset processing analysis threshold value, a punishment judgment symbol T1 is given, and if the processing analysis value CF does not exceed the preset processing analysis threshold value, a punishment judgment symbol T2 is given;
collecting the times of generating the reaction qualified signals and the times of generating the reaction unqualified signals in the signal processing supervision period, collecting the effective feedback unqualified values corresponding to each reaction unqualified signal, summing all the effective feedback unqualified values, taking an average value to obtain an effective feedback average value, and generatingCalculating the ratio of the times of unqualified reaction signals to the times of qualified reaction signals to obtain the reaction representation value, and using the formulaCarrying out numerical calculation on the times FT1 of generating the reaction disqualification signals, the effective feed average value FT2 and the reaction representation value FT3 to obtain a reaction analysis value HF; wherein bq1, bq2 and bq3 are preset weight coefficients, and bq3 is more than bq1 and more than bq2 is more than 0; and the larger the value of the reaction analysis value HF is, the slower the radar signal processing efficiency and the slower the reaction are in the signal processing supervision period; comparing the reaction analysis value HF with a preset reaction analysis threshold value, generating a reaction judgment symbol F1 if the reaction analysis value HF exceeds the preset reaction analysis threshold value, and generating a reaction judgment symbol F2 if the reaction analysis value HF does not exceed the preset reaction analysis threshold value;
performing intersection analysis on the division judgment symbol and the reaction judgment symbol, generating a supervision high early warning signal if T1 n F1 is simultaneously given, generating a supervision normal signal if T2 n F2 is simultaneously given, and generating a supervision low early warning signal if the rest conditions are the same, wherein the early warning level of the supervision high early warning signal is higher than the early warning level of the supervision low early warning signal; and the radar signal processing platform sends the supervision high early warning signal or the supervision low early warning signal to the visual display early warning module for displaying and sending corresponding early warning, so that corresponding management staff can know the radar signal processing effect and the radar signal processing efficiency in time, and targeted improvement measures can be timely carried out to ensure the subsequent processing effect and the processing efficiency of the radar signal.
Example IV
As shown in fig. 3, the difference between the present embodiment and embodiments 1, 2, and 3 is that the radar signal processing platform further includes an experiment detection feedback module, and when the supervisory normal signal is generated, the radar signal processing platform sends the supervisory normal signal to the experiment detection feedback module, and the experiment detection feedback module is used for performing several radar experiments and collecting experiment data, where the experiment data includes a target distanceThe target distance deviation value is a data value representing the difference between the actual target distance and the radar detection distance, the target speed deviation value is a data value representing the difference between the actual target speed and the radar detection speed, the target azimuth deviation value is a data value representing the deviation degree of the actual target azimuth from the azimuth detected by the radar, and the larger the value of the target distance deviation value, the larger the value of the target speed deviation value and the larger the value of the target azimuth deviation value are, so that the radar detection accuracy is poor; by the formulaCarrying out numerical calculation on the target distance deviation value JP, the target speed deviation value MP and the target azimuth deviation value FP to obtain a capture quality coefficient BZ corresponding to the radar experiment; wherein sp1, sp2 and sp3 are preset weight coefficients, and the values of sp1, sp2 and sp3 are all larger than zero;
and (3) carrying out numerical comparison on the capture quality coefficient BZ and a preset capture quality coefficient, marking a corresponding radar experiment as a high-quality experiment if the capture quality coefficient BZ does not exceed the preset capture quality coefficient, marking the corresponding radar experiment as a high-deviation experiment if the capture quality coefficient BZ exceeds the preset capture quality coefficient, carrying out ratio calculation on the number of the high-deviation experiment and the number of the high-quality experiment to obtain a deviation duty ratio value, carrying out numerical comparison on the deviation duty ratio value and a preset deviation duty ratio threshold value, generating an experiment qualification signal if the deviation duty ratio value does not exceed the preset deviation duty ratio threshold value, generating an experiment early warning signal, sending the experiment qualification signal or the experiment early warning signal to a radar signal processing platform, sending the experiment early warning signal to a visual display early warning module for display and corresponding early warning, carrying out cause investigation and carrying out corresponding improvement measures by corresponding management staff in time so as to ensure the accuracy of a subsequent radar detection result.
The working principle of the invention is as follows: when the radar system is used, the sampled radar signals are subjected to rapid and accurate transceiving conversion through the signal transceiving conversion processing module, the signals are kept at proper time and amplitude to avoid signal distortion and damage, the signal layering processing module layers the kept radar signals to distinguish different distances, orientations and heights, the signal digitizing processing module converts the layered signals into digital signals, the digital filtering processing module performs digital filtering to remove noise and interference signals, the signal conversion processing module performs conversion processing on the noise-removed signals, the quality and reliability of the signals are obviously improved, the detection capability and the anti-interference capability of a radar system are enhanced, the acquisition quality of signal information is guaranteed, and therefore the normal operation of the radar system is guaranteed; and the effect detection and evaluation module is used for carrying out signal processing effect detection and analysis to generate a processing qualified signal or a processing unqualified signal corresponding to the radar signal processing process, and the processing reaction detection and analysis module is used for generating a reaction qualified signal or a reaction unqualified signal corresponding to the radar signal processing process through processing reaction detection and analysis, so that a reminding and early warning effect is achieved, management staff can know and master the current radar signal processing condition in time, and corresponding countermeasures are taken according to requirements to carry out corresponding improvement.
The above formulas are all formulas with dimensions removed and numerical values calculated, the formulas are formulas with a large amount of data collected for software simulation to obtain the latest real situation, and preset parameters in the formulas are set by those skilled in the art according to the actual situation. The preferred embodiments of the invention disclosed above are intended only to assist in the explanation of the invention. The preferred embodiments are not intended to be exhaustive or to limit the invention to the precise form disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, to thereby enable others skilled in the art to best understand and utilize the invention. The invention is limited only by the claims and the full scope and equivalents thereof.
Claims (6)
1. A method of radar signal processing, comprising the steps of:
step one, converting an observed radar signal into electromagnetic waves through a radar antenna so as to collect a radar signal sample, and sending the collected radar signal sample to a radar signal processing platform;
step two, a signal receiving and transmitting conversion processing module in the radar signal processing platform carries out rapid and accurate receiving and transmitting conversion on the sampled radar signal, and keeps the signal at proper time and amplitude to avoid signal distortion and damage, and sends the kept radar signal to a signal layering processing module;
step three, the signal layering processing module layers the held radar signals to distinguish different distances, different directions and different heights, the target characteristics are extracted through processing of the layered signals, target detection and imaging are achieved, and the layered signals are sent to the signal digitizing processing module;
step four, the signal digital processing module selects wavelength as a distance unit, converts the layered signals into digital signals, sends the digital signals to the digital filtering processing module, and carries out digital filtering based on a high-pass filtering, band-pass filtering or band-stop filtering mode to remove noise and interference signals, and sends the signals after noise removal to the signal conversion processing module;
step five, the signal transformation processing module converts the sampling rate of the denoised signal into a higher sampling rate to improve the resolution of subsequent processing, and converts the bandwidth of the denoised signal into a wider bandwidth so as to be capable of accommodating more target signals, and performs fast Fourier transformation on the denoised signal to improve the signal processing efficiency;
after the radar signal processing is completed, an effect detection and evaluation module in the radar signal processing platform detects and analyzes through signal processing effects to generate processing qualified signals or processing unqualified signals corresponding to the radar signal processing process, the processing qualified signals or the processing unqualified signals are sent to the radar signal processing platform, the radar signal processing platform adds and stores the times of generating the processing qualified signals or adds and stores the times of generating the processing unqualified signals, and the radar signal processing platform sends the processing unqualified signals to a visual display early warning module for display;
the specific analysis process of the treatment effect detection analysis is as follows:
collecting signal-to-noise ratio and signal dynamic range of the signal before processing, marking the signal-to-noise ratio and signal dynamic range as pre-confidence-to-noise ratio and pre-confidence-to-dynamic range, collecting the signal-to-noise ratio and signal dynamic range of the signal after processing as post-confidence-to-noise ratio and post-confidence-to-dynamic range, judging that the signal-to-noise ratio and the signal dynamic range of the signal after processing are normal if the post-confidence-to-noise ratio and the post-confidence-to-dynamic range meet the corresponding numerical requirements of the radar signal after processing, otherwise, performing difference calculation on the post-confidence-to-noise ratio and the pre-confidence-to-noise ratio to obtain a signal-to-noise ratio improvement value, acquiring a dynamic range improvement value by the same method, and respectively performing numerical comparison on the signal-to-noise ratio improvement value and the dynamic range improvement value with a preset signal-to-noise ratio improvement threshold and a preset dynamic range improvement threshold;
if the signal-to-noise ratio improvement value does not exceed the preset signal-to-noise ratio improvement threshold or the dynamic range improvement value does not exceed the preset dynamic range improvement threshold, judging that the signal processing effect is poor and generating a processing disqualification signal corresponding to the signal processing process; and when the signal-to-noise ratio and the signal dynamic range of the processed signal are both normal or the signal-to-noise ratio improvement value exceeds a preset signal-to-noise ratio improvement threshold value and the dynamic range improvement value exceeds a preset dynamic range improvement threshold value, carrying out signal resolution analysis and radar imaging quality analysis on the processed signal.
2. The radar signal processing method according to claim 1, wherein the specific analysis procedure of the signal resolution analysis and the radar imaging quality analysis is as follows:
acquiring a signal resolution magnitude value of the processed signal, comparing the signal resolution magnitude value with a preset signal resolution magnitude value, judging that the signal resolution is normal if the signal resolution magnitude value exceeds a preset signal resolution threshold value, and judging that the signal resolution is abnormal if the signal resolution magnitude value does not exceed the preset signal resolution threshold value; and acquiring image quality information after radar imaging, wherein the image quality information comprises an image resolution value, an image definition value and an image noise value, carrying out normalization calculation on the image resolution value, the image definition value and the image noise value to obtain an image representation value, carrying out numerical comparison on the image representation value and a preset image representation threshold, judging that the radar imaging quality is normal if the image representation value exceeds the preset image representation threshold, judging that the radar imaging quality is abnormal if the image representation value does not exceed the preset image representation threshold, generating a processing qualified signal when judging that the signal resolution is normal and the radar imaging quality is normal, and generating a processing disqualification signal when the rest conditions are the same.
3. The radar signal processing method according to claim 1, wherein after the radar signal processing is completed, a processing reaction detection analysis module in the radar signal processing platform processes reaction detection analysis to generate a reaction qualified signal or a reaction unqualified signal corresponding to the radar signal processing process, and obtains an effective feedback unqualified value when the reaction unqualified signal is generated, the reaction qualified signal or the reaction unqualified signal and the effective feedback unqualified value are sent to the radar signal processing platform, the radar signal processing platform stores the frequency of generating the reaction qualified signal together or the frequency of generating the reaction unqualified signal together, and stores the corresponding effective feedback unqualified value, and the radar signal processing platform sends the reaction unqualified signal to the visual display pre-warning module for display.
4. A radar signal processing method according to claim 3, wherein the specific analysis process of the processing reaction detection analysis is as follows:
the method comprises the steps that the time when a radar signal processing platform receives a collected radar signal sample is collected and marked as a signal receiving time, the time when the radar signal processing platform starts to process a corresponding radar signal sample is collected and marked as a signal processing starting time, the time when the radar signal processing platform finishes processing a corresponding radar signal sample is collected and marked as a signal processing ending time, time difference calculation is conducted on the signal processing starting time and the signal receiving time to obtain signal reaction time, and time difference calculation is conducted on the signal processing ending time and the signal processing starting time to obtain signal processing time;
performing numerical calculation on the signal reaction time length and the signal processing time length to obtain an effective feed value, performing numerical comparison on the effective feed value and a preset effective feed threshold value, generating a reaction qualified signal if the effective feed value does not exceed the preset effective feed threshold value, generating a reaction unqualified signal if the effective feed value exceeds the preset effective feed threshold value, performing difference calculation on the effective feed value and the preset effective feed threshold value when generating the reaction unqualified signal, and marking the difference result of the effective feed value and the effective feed threshold value as an effective feed unqualified value.
5. A radar signal processing method according to claim 3, wherein the radar signal processing platform further comprises a signal processing summary analysis module, the signal summary analysis module is used for setting a signal processing supervision period, and performing summary analysis on signal processing conditions in the signal processing supervision period, and a specific operation procedure of the signal summary analysis module comprises:
collecting the times of generating the processing qualified signals and the times of generating the processing unqualified signals in a signal processing supervision period, carrying out ratio calculation on the times of generating the processing unqualified signals and the times of generating the processing qualified signals to obtain a processing representation value, and carrying out assignment summation calculation on the times of generating the processing unqualified signals and the processing representation value to obtain a processing analysis value; the processing analysis value is compared with a preset processing analysis threshold value in a numerical mode, if the processing analysis value exceeds the preset processing analysis threshold value, a punishment judgment symbol T1 is given, and if the processing analysis value does not exceed the preset processing analysis threshold value, a punishment judgment symbol T2 is given;
collecting the times of generating the reaction qualified signals and the times of generating the reaction unqualified signals in a signal processing supervision period, collecting the effective feedback unqualified values corresponding to each reaction unqualified signal, carrying out summation calculation on all the effective feedback unqualified values and taking an average value to obtain an effective feedback average value, carrying out ratio calculation on the times of generating the reaction unqualified signals and the times of generating the reaction qualified signals to obtain a reaction representation value, and carrying out numerical calculation on the times of generating the reaction unqualified signals, the effective feedback average value and the reaction representation value to obtain a reaction analysis value;
the reaction analysis value is compared with a preset reaction analysis threshold value in a numerical mode, if the reaction analysis value exceeds the preset reaction analysis threshold value, a reaction judgment symbol F1 is generated, and if the reaction analysis value does not exceed the preset reaction analysis threshold value, a reaction judgment symbol F2 is generated; if T1 is given to F1, a supervision high early warning signal is generated, if T2 is given to F2, a supervision normal signal is generated, and the rest conditions generate supervision low early warning signals; and sending the supervision high early warning signal, the supervision low early warning signal or the supervision normal signal to a radar signal processing platform, and sending the supervision high early warning signal or the supervision low early warning signal to a visual display early warning module by the radar signal processing platform for displaying and sending corresponding early warning.
6. The method according to claim 5, wherein the radar signal processing platform further comprises an experiment detection feedback module, the radar signal processing platform sends the supervision normal signal to the experiment detection feedback module when generating the supervision normal signal, the experiment detection feedback module is used for carrying out a plurality of radar experiments and collecting experiment data, the experiment data comprises a target distance deviation value, a target speed deviation value and a target azimuth deviation value, and the target distance deviation value, the target speed deviation value and the target azimuth deviation value are subjected to numerical calculation to obtain a capture quality coefficient corresponding to the radar experiment;
and carrying out numerical comparison on the capture quality coefficient and a preset capture quality coefficient, if the capture quality coefficient does not exceed the preset capture quality coefficient, marking the corresponding radar experiment as a high-quality experiment, otherwise, marking the corresponding radar experiment as a high-deviation experiment, carrying out ratio calculation on the number of the high-deviation experiment and the number of the high-quality experiment to obtain a deviation ratio value, carrying out numerical comparison on the deviation ratio value and a preset deviation ratio threshold value, generating an experiment qualified signal if the deviation ratio value does not exceed the preset deviation ratio threshold value, generating an experiment early warning signal if the deviation ratio value exceeds the preset deviation ratio threshold value, transmitting the experiment qualified signal or the experiment early warning signal to a radar signal processing platform, and transmitting the experiment early warning signal to a visual display early warning module for display and corresponding early warning by the radar signal processing platform.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310618064.7A CN116359876B (en) | 2023-05-30 | 2023-05-30 | Radar signal processing method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310618064.7A CN116359876B (en) | 2023-05-30 | 2023-05-30 | Radar signal processing method |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN116359876A CN116359876A (en) | 2023-06-30 |
| CN116359876B true CN116359876B (en) | 2023-08-11 |
Family
ID=86910669
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202310618064.7A Active CN116359876B (en) | 2023-05-30 | 2023-05-30 | Radar signal processing method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN116359876B (en) |
Families Citing this family (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116753848B (en) * | 2023-08-11 | 2023-12-01 | 济南市勘察测绘研究院 | Building displacement monitoring method and system |
Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US4901082A (en) * | 1988-11-17 | 1990-02-13 | Grumman Aerospace Corporation | Adaptive waveform radar |
| US6441772B1 (en) * | 1998-12-18 | 2002-08-27 | Totalförsvarets Forskningsinstitut | SAR radar system |
| CN201259547Y (en) * | 2008-08-28 | 2009-06-17 | 阮树成 | Millimeter wave time-division linear frequency modulated multi-target detection anti-collision radar for automobile |
| WO2009144435A1 (en) * | 2008-05-29 | 2009-12-03 | Cambridge Consultants Limited | Radar system and method |
| US8035551B1 (en) * | 2008-06-05 | 2011-10-11 | The United States Of America As Represented By The Secretary Of The Army | Noise correlation radar devices and methods for detecting targets with noise correlation radar |
| CN104316928A (en) * | 2014-11-04 | 2015-01-28 | 成都锐新科技有限公司 | High-precision microwave radar ranging system |
| CN105259543A (en) * | 2015-10-29 | 2016-01-20 | 电子科技大学 | Reusable layered simulation model library aiming at radars and interference |
| CN106405506A (en) * | 2016-11-14 | 2017-02-15 | 武汉大学 | High-frequency sky-ground wave MIMO radar realization method |
| CN110068805A (en) * | 2019-05-05 | 2019-07-30 | 中国人民解放军国防科技大学 | High-speed target HRRP reconstruction method based on variational Bayesian inference |
| CN114035163A (en) * | 2021-12-15 | 2022-02-11 | 邓小勇 | Method for processing radar echo signal based on algorithm model |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US6697013B2 (en) * | 2001-12-06 | 2004-02-24 | Atheros Communications, Inc. | Radar detection and dynamic frequency selection for wireless local area networks |
-
2023
- 2023-05-30 CN CN202310618064.7A patent/CN116359876B/en active Active
Patent Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US4901082A (en) * | 1988-11-17 | 1990-02-13 | Grumman Aerospace Corporation | Adaptive waveform radar |
| US6441772B1 (en) * | 1998-12-18 | 2002-08-27 | Totalförsvarets Forskningsinstitut | SAR radar system |
| WO2009144435A1 (en) * | 2008-05-29 | 2009-12-03 | Cambridge Consultants Limited | Radar system and method |
| US8035551B1 (en) * | 2008-06-05 | 2011-10-11 | The United States Of America As Represented By The Secretary Of The Army | Noise correlation radar devices and methods for detecting targets with noise correlation radar |
| CN201259547Y (en) * | 2008-08-28 | 2009-06-17 | 阮树成 | Millimeter wave time-division linear frequency modulated multi-target detection anti-collision radar for automobile |
| CN104316928A (en) * | 2014-11-04 | 2015-01-28 | 成都锐新科技有限公司 | High-precision microwave radar ranging system |
| CN105259543A (en) * | 2015-10-29 | 2016-01-20 | 电子科技大学 | Reusable layered simulation model library aiming at radars and interference |
| CN106405506A (en) * | 2016-11-14 | 2017-02-15 | 武汉大学 | High-frequency sky-ground wave MIMO radar realization method |
| CN110068805A (en) * | 2019-05-05 | 2019-07-30 | 中国人民解放军国防科技大学 | High-speed target HRRP reconstruction method based on variational Bayesian inference |
| CN114035163A (en) * | 2021-12-15 | 2022-02-11 | 邓小勇 | Method for processing radar echo signal based on algorithm model |
Non-Patent Citations (1)
| Title |
|---|
| 机载预警雷达技术及信号处理方法综述;张良 等;电子与信息学报;第38卷(第12期);3298-3306 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN116359876A (en) | 2023-06-30 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN111352102B (en) | Multi-target number detection method and device based on frequency modulation continuous wave radar | |
| CN116359876B (en) | Radar signal processing method | |
| CN107153189B (en) | Signal processing method for linear frequency modulation continuous wave radar ranging | |
| CN110007299B (en) | Weak target detection tracking method based on mixed coordinate pseudo-spectrum technology | |
| CN106707258A (en) | Multi-parameter estimation method for micro-motion target under non-Gaussian background | |
| CN110161494B (en) | RD plane weak target detection tracking method and device based on velocity square filtering | |
| CN107015205A (en) | A kind of false target removing method of distributed MIMO detections of radar | |
| CN111046025B (en) | Unmanned aerial vehicle signal detection method and device | |
| CN107229040B (en) | high-frequency radar target detection method based on sparse recovery space-time spectrum estimation | |
| CN112379333A (en) | High-frequency radar sea clutter suppression method based on space-time dimension orthogonal projection filtering | |
| CN113093119A (en) | Time-frequency constant false alarm high-frequency radar target detection method and system | |
| CN110208767B (en) | Radar target rapid detection method based on fitting correlation coefficient | |
| CN117388835B (en) | Multi-spelling fusion sodar signal enhancement method | |
| CN111681668A (en) | Acoustic imaging method and terminal equipment | |
| CN115345216A (en) | FMCW radar interference elimination method fusing prior information | |
| CN113608190B (en) | Sea surface target detection method and system based on three characteristics of singular space | |
| Gini et al. | Texture modeling and validation using recorded high resolution sea clutter data | |
| CN114859297A (en) | Bridge vibration target detection method and device | |
| CN113093181A (en) | Intelligent detection method for moving object on sea | |
| CN117849753B (en) | Target general feature extraction method based on vehicle-mounted millimeter wave radar | |
| CN118033589B (en) | RD spectrum positioning-based high-frequency ground wave radar ship formation identification method and system | |
| CN117607876B (en) | Method and system for detecting passive sonar multi-beam narrowband signals | |
| CN110806567B (en) | Ground clutter false alarm point eliminating method and system based on FIR Doppler filtering information | |
| CN117741685B (en) | Wind speed inversion method, system, storage medium and equipment | |
| CN114415202B (en) | Tracking system for laser investigation equipment based on image processing |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |