CN117872296A - Radar monitoring method based on water wireless signal detection processor - Google Patents
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- G—PHYSICS
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- 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
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Abstract
The invention discloses a radar monitoring method based on a water wireless signal detection processor, which relates to the technical field of water detection and comprises the following steps: s101, sending radar signals with certain frequency and power through a radar system, and receiving radar signals reflected by targets through a radar antenna; s102, processing the received radar signals through a signal processor. According to the invention, when the abnormal hidden danger exists in the operation process of the signal processor, the signal processor is used for intelligently sensing and prompting related users to know the radar signal data possibly resulting in the optimization and analysis of the signal processor, so that the signal processor can be subjected to operation and maintenance management in advance, the accurate detection of the target on water is ensured, the generation of false target reports is effectively avoided, the occurrence of the condition that key targets are missed or unrelated targets are wrongly reported as potential threats is effectively prevented, and the accuracy and reliability of a monitoring system are ensured.
Description
Technical Field
The invention relates to the technical field of water detection, in particular to a radar monitoring method based on a water wireless signal detection processor.
Background
A radar monitoring system based on a water wireless signal detection processor is an advanced technical system for monitoring the water area environment, and the system is generally used in the fields of military, civil and scientific research and aims at detecting and tracking information such as targets, measuring distance, speed and direction.
The marine radar system uses highly complex signal processors to process echo signals from radar antennas, the processors can perform pulse compression, doppler frequency analysis, clutter filtering and other operations to improve target detection performance, the signal processors play a key role in a radar monitoring system based on a marine wireless signal detection processor, and the system can efficiently detect, track and identify a marine target by optimizing and analyzing the received radar signals, so that important marine monitoring and safety functions are provided.
The prior art has the following defects: when an abnormality is not found in the operation process of the signal processor, the radar signal data optimized and analyzed by the signal processor can be unreliable, when the unreliable data is used for data processing, analysis and decision making, a water target can not be accurately detected or false target report can be generated, and then a key target is missed or an irrelevant target is wrongly reported as a potential threat, so that the accuracy and reliability of a monitoring system are affected.
The above information disclosed in the background section is only for enhancement of understanding of the background of the disclosure and therefore it may include information that does not form the prior art that is already known to a person of ordinary skill in the art.
Disclosure of Invention
The invention aims to provide a radar monitoring method based on a water wireless signal detection processor, which is characterized in that the reliability of radar signal data is monitored by optimizing and analyzing the signal processor, when the abnormal hidden danger exists in the operation process of the signal processor, the radar signal data optimized and analyzed by the signal processor is possibly unreliable, the signal processor is used for intelligently sensing and prompting the relevant users to know, so that the operation and maintenance management of the signal processor can be realized in advance, the accurate detection of a water target is ensured, the generation of false target reports is effectively avoided, the situation that a key target is missed or an irrelevant target is wrongly reported as a potential threat is effectively prevented, and the accuracy and the reliability of a monitoring system are ensured, so that the problems in the background technology are solved.
In order to achieve the above object, the present invention provides the following technical solutions: a radar monitoring method based on a water wireless signal detection processor comprises the following steps:
S101, sending radar signals with certain frequency and power through a radar system, and receiving radar signals reflected by targets through a radar antenna;
s102, processing the received radar signals through a signal processor;
s103, acquiring a plurality of data information including processing efficiency parameter information and signal quality information when the signal processor processes the radar signal, and processing the processing efficiency parameter information and the signal quality information when the signal processor processes the radar signal after acquisition;
s104, comprehensively analyzing the processing efficiency parameter information and the signal quality information when the signal processor processes the radar signal to generate a reliability coefficient;
s105, comparing and analyzing the reliability coefficient generated when the signal processor processes the radar signal with a preset reliability coefficient reference threshold value to generate a high-reliability signal or a low-reliability signal;
s106, when the signal processor generates a low-reliability signal when processing the radar signal, acquiring a plurality of reliability coefficients output in real time by the signal processor when processing the subsequent radar signal, comprehensively analyzing, judging the type of the abnormal hidden danger when the signal processor processes the radar signal, outputting the type of the abnormal hidden danger, and prompting the type of the abnormal hidden danger;
And S107, performing target detection by using the data after the signal processing.
Preferably, the processing efficiency parameter information of the signal processor when processing the radar signal comprises a radar signal amplification anomaly concealment index and a pulse compression anomaly variation index, and after acquisition, the radar signal amplification anomaly concealment index and the pulse compression anomaly variation index of the signal processor when processing the radar signal are respectively calibrated asAnd->。
Preferably, the signal quality information of the radar signal processed by the signal processor includes a frequency distortion variation drift index, and after the acquisition, the frequency distortion variation drift index of the radar signal processed by the signal processor is calibrated as。
Preferably, the logic for obtaining the radar signal amplification anomaly concealment index is as follows:
a101, acquiring an optimal amplification gain range of a signal processor in a radar monitoring system when amplifying radar signals, and calibrating the optimal amplification gain range as；
A102, acquiring a plurality of actual amplification gains generated in a T time when a signal processor in the radar monitoring system processes radar signals, and calibrating the actual amplification gains as，xRepresenting the actual amplification gain generated during time T when a signal processor processes a radar signal in a radar monitoring system The number of the code is given, the code,x=1、2、3、4、……、m，mis a positive integer;
a103, calculating an abnormal state concealment index of radar signal amplification, wherein the calculated expression is as follows:wherein->Representing that the signal processor in the radar monitoring system is not in the optimal amplification gain range generated in the T time when processing the radar signal +.>Number of actual amplification gain between +.>，/>Is a positive integer which is used for the preparation of the high-voltage power supply,，mrepresenting the total number of actual amplification gains generated during time T when the signal processor processes the radar signal in the radar monitoring system.
Preferably, the logic for acquiring the pulse compression anomaly variability index is as follows: b101, acquiring a plurality of actual pulse compression factors generated in T time when a signal processor in the radar monitoring system processes radar signals, and calibrating the actual pulse compression factors as，yA number representing the actual pulse compression factor generated during time T when the signal processor processes the radar signal in the radar monitoring system,y=1、2、3、4、……、n，nis a positive integer;
b102, calculating a pulse compression factor standard deviation and a pulse compression factor by a plurality of actual pulse compression factors acquired in T time when a radar signal is processed by a signal processor in a radar monitoring systemSub-average values, and respectively calibrating the standard deviation of the pulse compression factor and the average value of the pulse compression factor as And->；
B103, calculating a pulse compression factor variation coefficient through a pulse compression factor standard deviation and a pulse compression factor average value, wherein the calculated expression is as follows:wherein->Representing the coefficient of variation of the pulse compression factor,，/>。
preferably, the logic for frequency distortion variation drift index acquisition is as follows:
c101, acquiring an expected frequency when a signal processor in the radar monitoring system processes a radar signal, and calibrating the expected frequency as；
C102, acquiring actual frequency conversion frequencies of different moments in T time when a signal processor in the radar monitoring system processes radar signals, and calibrating the actual frequency conversion frequencies as，vThe number of the actual frequency conversion frequency at different moments in time T when the signal processor processes the radar signal in the radar monitoring system,v=1、2、3、4、……、p，pis a positive integer;
c103, actual conversion frequency when processing radar signal by signal processor
And the desired frequency->Calculating frequency deviation, comparing the calculated frequency deviation with a preset frequency deviation reference threshold value, if the frequency deviation is greater than or equal to the frequency deviation reference threshold value when a signal processor in the radar monitoring system processes radar signals, calibrating the actual frequency obtained at the corresponding moment as abnormal frequency, and if the frequency deviation is less than the frequency deviation reference threshold value when the signal processor in the radar monitoring system processes radar signals, calibrating the actual frequency obtained at the corresponding moment as normal frequency;
And C104, calculating a frequency distortion variation negligence index, wherein the calculated expression is as follows:wherein->Representing a period of time during which the frequency deviation calculated by the signal processor when processing the radar signal is greater than or equal to the frequency deviation reference threshold value,/>。
Preferably, the radar signal amplification anomaly concealment index is obtained when the signal processor processes the radar signalPulse compression abnormality variation index->Frequency distortion variation drift index ++>Afterwards, will->、/>AndFormulating to generate reliability coefficient +.>The formula according to is:in which, in the process,、/>、/>amplifying anomaly concealment index for radar signals respectively>Pulse compression abnormality variation index->Frequency distortion variation drift index ++>Is a preset proportionality coefficient of>、/>、/>Are all greater than 0.
Preferably, the reliability coefficient generated when the signal processor processes the radar signal is compared with a preset reliability coefficient reference threshold value for analysis, if the reliability coefficient is greater than or equal to the reliability coefficient reference threshold value, a low reliability signal is generated, and if the reliability coefficient is smaller than the reliability coefficient reference threshold value, a high reliability signal is generated.
Preferably, when the signal processor generates a low-reliability signal when processing the radar signal, acquiring a plurality of reliability coefficients output in real time by the signal processor when processing the subsequent radar signal to establish an analysis set, and calibrating the analysis set as ZThen，jA number representing the confidence coefficient within the analysis set,j=1、2、3、4、……、u，uis a positive integer;
calculating a reliability coefficient standard deviation and a reliability coefficient average value by analyzing a plurality of reliability coefficients in the set, and respectively calibrating the reliability coefficient standard deviation and the reliability coefficient average value asAnd->。
Preferably, the confidence coefficient standard deviationAnd confidence coefficient mean ∈ ->Respectively with a preset standard deviation reference threshold +.>And a preset confidence coefficient reference threshold +.>The comparison is carried out, for example, the following results are obtained:
if it isGenerating high-risk potential abnormality and proceeding to the high-risk potential abnormalityOutputting the row and prompting the type of the high-risk abnormal hidden trouble;
if it isOr->Generating an unstable risk potential abnormality, outputting the unstable risk potential abnormality, and prompting the type of the unstable risk potential abnormality;
if it isAnd generating low-risk potential abnormal hazards, and not outputting and prompting the low-risk potential abnormal hazards.
In the technical scheme, the invention has the technical effects and advantages that:
according to the invention, through monitoring the reliability of the signal processor optimizing and analyzing the radar signal data, when the abnormal hidden danger exists in the operation process of the signal processor, the radar signal data optimized and analyzed by the signal processor is possibly unreliable, the signal processor is used for intelligently sensing and prompting the related users to know, so that the signal processor can be subjected to operation and maintenance management in advance, the accurate detection of the target on water is ensured, the generation of false target reports is effectively avoided, the situation that the key target is missed or an irrelevant target is wrongly reported as a potential threat is effectively prevented, and the accuracy and the reliability of a monitoring system are ensured;
When the abnormal hidden danger exists in the state of the signal processor when the radar signal is processed, the method judges whether the reliability of the signal processor when the radar signal is processed is poor or poor in stability, and is convenient for relevant operation and maintenance managers to know the type of the abnormal hidden danger of the signal processor, so that the relevant operation and maintenance managers can conveniently and efficiently operate and maintain the signal processor, and secondly, when the accidental abnormal situation occurs in the reliability of the signal processor when the signal processor processes the radar signal, no prompt is sent, the signal processor is ensured to optimize and analyze the state of the radar signal data, and the stable and efficient operation of the signal processor is further ensured.
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For a clearer description of embodiments of the present application or of the solutions of the prior art, the drawings that are needed in the embodiments will be briefly described below, it being obvious that the drawings in the following description are only some embodiments described in the present invention, and that other drawings may be obtained according to these drawings for a person skilled in the art.
Fig. 1 is a flow chart of a radar monitoring method based on a water wireless signal detection processor.
Detailed Description
Example embodiments will now be described more fully with reference to the accompanying drawings. However, the exemplary embodiments may be embodied in many forms and should not be construed as limited to the examples set forth herein; rather, these example embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the concept of the example embodiments to those skilled in the art.
The invention provides a radar monitoring method based on a water wireless signal detection processor as shown in fig. 1, which comprises the following steps:
s101, sending radar signals with certain frequency and power through a radar system, and receiving radar signals reflected by targets through a radar antenna;
radar signals transmitted by the radar system are usually microwaves or radio waves, and the signals are signals reflected by the surface of a target and return to the radar system after a certain time delay;
s102, processing the received radar signals through a signal processor;
radar signal processing includes signal amplification, preprocessing, pulse compression, doppler frequency analysis, clutter filtering, and the like:
the received signal is usually weak and needs to be amplified to increase the intensity, preprocessing comprises filtering and denoising to remove irrelevant signals or interference, the preprocessed signals are subjected to pulse compression to improve the distance resolution of a radar system, the system is allowed to distinguish targets with different distances, the speed and the moving direction of the targets are determined by analyzing the Doppler frequency of the signals, the method can be realized by comparing the signal frequencies at different time points, clutter filtering is carried out on the signals to inhibit background noise and clutter, and the identifiability of the target signals is improved;
S103, acquiring a plurality of data information including processing efficiency parameter information and signal quality information when the signal processor processes the radar signal, and processing the processing efficiency parameter information and the signal quality information when the signal processor processes the radar signal after acquisition;
the processing efficiency parameter information when the signal processor processes the radar signal comprises a radar signal amplification anomaly concealment index and a pulse compression anomaly variation index, and after acquisition, the radar signal amplification anomaly concealment index and the pulse compression anomaly variation index when the signal processor processes the radar signal are respectively calibrated asAnd->；
In a radar monitoring system based on a water wireless signal detection processor, the signal processor performs signal amplification on a radar signal, namely, a process of amplifying or enhancing the received radar signal, wherein the main purpose of the step is to increase the strength of the signal so as to improve the quality of the signal and enable target echo to be detected and analyzed more easily;
when the signal processor amplifies the radar signal too much or too little, the accuracy of the radar signal data optimized and analyzed by the signal processor may be reduced, because the process of signal amplification directly affects the quality of the data after signal processing, thereby negatively affecting the performance of the radar system, as explained in detail below:
Accuracy problems caused by excessive amplification:
excessive amplification can cause the amplitude of the received radar signal to exceed the working range of the signal processor, resulting in signal saturation, which can lose the detailed information of the target echo signal, and cause the amplitude to become indistinguishable;
as the signal is saturated, the characteristics of the target signal may be submerged in the saturated signal background, resulting in an inability to accurately measure the distance, speed and direction of the target;
the problem of dynamic range can be caused by excessive signal amplification, so that the system is difficult to process strong signals and weak signals at the same time, the signal-to-noise ratio is reduced, and the accuracy of target detection is reduced;
accuracy problems caused by insufficient amplification:
insufficient signal amplification can result in a received radar signal with a smaller amplitude, making it difficult for the target echo signal to distinguish from background noise;
the relatively low signal amplitude may result in a reduced signal-to-noise ratio of the signal to noise, making detection of weak signal targets difficult, if not impossible, for the system;
insufficient amplification can also cause the signal to lose the signal-to-noise ratio in the signal processing chain that is required in subsequent processing steps, which can lead to unstable tracking and measurement of the signal;
Therefore, the process of amplifying the radar signal by the signal processor in the radar monitoring system based on the water wireless signal detection processor is monitored, and the problem of potential abnormality caused by overlarge amplification or insufficient amplification of the radar signal by the signal processor can be timely found;
the logic for obtaining the radar signal amplification abnormal concealment index is as follows:
a101, acquiring an optimal amplification gain range of a signal processor in a radar monitoring system when amplifying radar signals, and calibrating the optimal amplification gain range as；
It should be noted that, performing experiments and tests is a common method for determining an optimal amplification gain range, in actual operation, different targets, different signal intensities, different environmental conditions and the like are used to simulate different situations, the gain level of the amplifier is gradually adjusted, the optimal amplification gain range can be found by observing the performance and the signal quality of the system, the optimal amplification gain range of the signal processor in the radar monitoring system during radar signal amplification is not limited specifically, and intelligent adjustment can be performed according to actual application scenes and requirements;
a102, acquiring a plurality of actual amplification gains generated in a T time when a signal processor in the radar monitoring system processes radar signals, and calibrating the actual amplification gains as
，xA number representing the actual amplification gain generated during time T when the signal processor processes the radar signal in the radar monitoring system,x=1、2、3、4、……、m，mis a positive integer;
it should be noted that, the radar system provides a user interface or a control panel, through which radar parameters, including amplification gain, can be monitored and adjusted in real time, and the current amplification gain setting can be checked through a controller or a Graphical User Interface (GUI) of the system;
a103, calculating an abnormal state concealment index of radar signal amplification, wherein the calculated expression is as follows:wherein->Representing that the signal processor in the radar monitoring system is not in the optimal amplification gain range generated in the T time when processing the radar signal +.>Number of actual amplification gain between +.>，/>Is a positive integer which is used for the preparation of the high-voltage power supply,，mrepresenting a total number of actual amplification gains generated in a time T when a signal processor processes a radar signal in a radar monitoring system;
the calculation expression of the radar signal amplification abnormal state hidden index shows that the larger the expression value of the radar signal amplification abnormal state hidden index generated in the T time when a signal processor in the radar monitoring system processes the radar signal is, the larger the hidden danger that the accuracy of the radar signal data is optimized and analyzed through the signal processor is, otherwise, the smaller the hidden danger that the accuracy of the radar signal data is optimized and analyzed through the signal processor is;
In a radar monitoring system, pulse compression when a signal processor processes radar signals is a signal processing technology, and aims to improve the distance resolution of the radar system, the pulse compression is realized by changing the time domain characteristics of pulse signals sent by the radar system so as to more accurately measure the distance of targets, and in the radar monitoring system, the pulse compression when the signal processor processes radar signals is to compress the pulse width of the pulse signals;
if the pulse compression stability of the signal processor upon radar signal processing is poor in a radar monitoring system based on a water wireless signal detection processor, it may result in a decrease in accuracy of radar signal data optimized and analyzed by the signal processor, why stable pulse compression is crucial is explained in detail below:
the distance resolution suffers: one of the purposes of pulse compression techniques is to increase the range resolution of a radar system in order to more accurately distinguish targets at different distances, and if pulse compression is poorly stable, even small time shifts or phase errors may result in loss of range resolution, which may result in an inability to clearly separate targets from each other, affecting the accuracy of range measurements;
Target positioning is unstable: unstable pulse compression may lead to unstable positioning of the radar system on the target, and if the phases during compression are inconsistent or the waveforms are distorted, the position estimate of the target may change between different echoes, which may lead to unstable target tracking;
target detection problem: pulse compression instability may also cause target detection problems, target echo signals may be mistaken for noise due to phase distortion or amplitude inconsistencies, or conversely, noise may be mistaken for target signals, which may affect the detection performance of the target, causing problems of missed or false detection;
signal quality decreases: unstable pulse compression may lead to reduced signal quality, and the signal processor may not be able to extract the characteristic information of the target correctly, which may affect the performance of the radar system, especially in high noise or complex environments;
data consistency problem: instability of the signal processor may cause data inconsistencies, causing the system to produce different results at different times or under different conditions, which may increase the complexity of the system that is difficult to maintain and debug;
therefore, the pulse compression condition when the signal processor performs radar signal processing in the radar monitoring system based on the water wireless signal detection processor is monitored in real time, and the problem of potential abnormality that the pulse compression stability is poor when the signal processor performs radar signal processing can be found in time;
The logic for obtaining the pulse compression anomaly variability index is as follows:
b101, acquiring a plurality of actual pulse compression factors generated in T time when a signal processor in the radar monitoring system processes radar signals, and calibrating the actual pulse compression factors as
，yA number representing the actual pulse compression factor generated during time T when the signal processor processes the radar signal in the radar monitoring system,y=1、2、3、4、……、n，nis a positive integer;
it should be noted that, the pulse compression factor (Pulse Compression Ratio), which represents a multiple of pulse width compression, for example, a system with a pulse compression factor of 10 means that the pulse is compressed to 1/10 of the original width, and the radar system has telemetry output functions, which can provide real-time system status information, including the pulse compression factor, and can use the telemetry output interface to obtain such information, typically transmitted in real-time over a network or other data connection;
b102, calculating a pulse compression factor standard deviation and a pulse compression factor average value by a plurality of actual pulse compression factors acquired in a T time when a radar signal is processed by a signal processor in a radar monitoring system, and respectively calibrating the pulse compression factor standard deviation and the pulse compression factor average value as And->；
B103, calculating a pulse compression factor variation coefficient through a pulse compression factor standard deviation and a pulse compression factor average value, wherein the calculated expression is as follows:wherein->Representing the coefficient of variation of the pulse compression factor,，/>；
the variation coefficient of the pulse compression factor can be known that the larger the expression value of the variation coefficient of the pulse compression factor generated in the T time when the signal processor in the radar monitoring system processes the radar signal is, the worse the stability of a plurality of actual pulse compression factors generated in the T time when the signal processor in the radar monitoring system processes the radar signal is, otherwise, the better the stability of a plurality of actual pulse compression factors generated in the T time when the signal processor in the radar monitoring system processes the radar signal is;
b104, calculating pulse compression abnormal variationThe index, calculated expression is:；
the calculation expression of the pulse compression abnormal variation index shows that the larger the expression value of the pulse compression abnormal variation index generated in the T time when a signal processor in the radar monitoring system processes a radar signal is, the larger the hidden danger of abnormality occurs when the signal processor optimizes and analyzes the accuracy of radar signal data, otherwise, the smaller the hidden danger of abnormality occurs when the signal processor optimizes and analyzes the accuracy of radar signal data is;
The signal quality information of the radar signal processed by the signal processor comprises a frequency distortion variation drift index, and after acquisition, the frequency distortion variation drift index of the radar signal processed by the signal processor is calibrated as；
In a radar monitoring system, frequency distortion when a signal processor processes radar signals refers to a phenomenon that the frequency of signals is inaccurate or deviates from an expected frequency in the processing process, and the frequency distortion may have adverse effects on the performance of the radar system;
the greater frequency distortion may result in reduced accuracy of the radar signal data optimized and analyzed by the signal processor, as explained in more detail below:
influence of distance and speed measurements: radar systems typically use frequency information of the signal to measure the distance and speed of the target, which if the frequency distortion is large, means that there is a significant deviation between the actual measured frequency and the desired frequency, which would lead to inaccuracy in the distance and speed measurement, such that the radar system cannot accurately determine the position and speed of the target;
target resolution decreases: the frequency distortion also affects the target resolution of the radar system, the radar distinguishes different targets by frequency, high frequency resolution generally means that targets with closer distance can be resolved, frequency distortion can cause frequency overlapping between targets, and the target resolution performance is reduced, so that multiple targets cannot be clearly resolved;
Waveform distortion: frequency distortion can also cause distortion of the radar waveform such that the shape of the signal does not conform to the desired waveform, which can affect the signal processing algorithms of the radar system, leading to erroneous interpretation and target detection;
the distance accuracy is reduced: the frequency distortion can influence the distance measurement accuracy of the radar, the distance is usually determined by measuring the time difference of the signal, if the signal frequency is distorted, the time difference measurement can be influenced, and the accuracy of the distance measurement is reduced;
system performance decreases: frequency distortion can affect not only target measurements but also the overall performance of the radar system, including the impact on target detection, tracking and recognition, thereby reducing the reliability and effectiveness of the radar system in different applications;
therefore, the frequency of the signal processor in the radar monitoring system based on the water wireless signal detection processor is monitored in real time when the signal processor performs radar signal processing, and the problem of potential abnormality of frequency distortion when the signal processor performs radar signal processing can be found in time;
the logic for frequency distortion variation negligence index acquisition is as follows:
c101, acquiring an expected frequency when a signal processor in the radar monitoring system processes a radar signal, and calibrating the expected frequency as ；
In the radar monitoring system, the expected frequency when the signal processor processes the radar signal refers to the signal frequency expected by the radar system in the normal working state, the expected frequency is usually determined according to the design and configuration of the radar system, and the expected frequency is usually explicitly described in the design specification and document of the radar system, which includes the information of the working frequency, the wave band, the center frequency and the like specified by the manufacturer or the system designer, and the specification is usually provided in the user manual or the technical specification of the system;
c102, acquire signal processor in radar monitoring systemThe actual frequency conversion frequency of the radar signal at different moments in the T time is calibrated as，vThe number of the actual frequency conversion frequency at different moments in time T when the signal processor processes the radar signal in the radar monitoring system,v=1、2、3、4、……、p，pis a positive integer;
it should be noted that, by performing spectrum analysis on a signal, an actual conversion frequency may be determined, where spectrum analysis is a technique of decomposing the signal into its frequency components, and is generally implemented using a spectrum analyzer or software, where the spectrum obtained by analysis may display the frequency components of the signal, from which the actual conversion frequency may be determined;
C103, actual conversion frequency when processing radar signal by signal processorAnd the desired frequencyCalculating frequency deviation, comparing the calculated frequency deviation with a preset frequency deviation reference threshold value, if the frequency deviation is greater than or equal to the frequency deviation reference threshold value when a signal processor in the radar monitoring system processes radar signals, calibrating the actual frequency obtained at the corresponding moment as abnormal frequency, and if the frequency deviation is less than the frequency deviation reference threshold value when the signal processor in the radar monitoring system processes radar signals, calibrating the actual frequency obtained at the corresponding moment as normal frequency;
and C104, calculating a frequency distortion variation negligence index, wherein the calculated expression is as follows:wherein->Representing the frequency calculated when the signal processor processes the radar signalTime period when the rate deviation is greater than or equal to the frequency deviation reference threshold value,/->；
As can be seen from the calculation expression of the frequency distortion variation negligence index, the larger the expression value of the frequency distortion variation negligence index generated in the time T when the signal processor processes the radar signal in the radar monitoring system is, the larger the hidden danger of abnormality in the accuracy of optimizing and analyzing the radar signal data by the signal processor is, otherwise, the smaller the hidden danger of abnormality in the accuracy of optimizing and analyzing the radar signal data by the signal processor is;
S104, comprehensively analyzing the processing efficiency parameter information and the signal quality information when the signal processor processes the radar signal to generate a reliability coefficient;
obtaining radar signal amplification abnormal concealing index when the signal processor processes radar signals
Pulse compression abnormality variation index->Frequency distortion variation drift index ++>Afterwards, will->、And +.>Formulating to generate reliability coefficient +.>The formula according to is:in which, in the process,、/>、/>amplifying anomaly concealment index for radar signals respectively>Pulse compression abnormality variation index->Frequency distortion variation drift index ++>Is a preset proportionality coefficient of>、/>、/>Are all greater than 0;
as can be seen from the calculation formula, the greater the radar signal amplification anomaly concealment index, the greater the pulse compression anomaly variation index and the greater the frequency distortion variation negligence index generated in the T time when the signal processor processes the radar signal in the radar monitoring system, namely the reliability coefficient generated in the T time when the signal processor processes the radar signal in the radar monitoring systemThe larger the expression value of the radar signal data is, the larger the hidden danger of abnormality is shown to be caused by optimizing and analyzing the accuracy of the radar signal data through the signal processor, otherwise, the smaller the hidden danger of abnormality is shown to be caused by optimizing and analyzing the accuracy of the radar signal data through the signal processor;
S105, comparing and analyzing the reliability coefficient generated when the signal processor processes the radar signal with a preset reliability coefficient reference threshold value to generate a high-reliability signal or a low-reliability signal;
comparing and analyzing the reliability coefficient generated when the signal processor processes the radar signal with a preset reliability coefficient reference threshold, generating a low reliability signal if the reliability coefficient is greater than or equal to the reliability coefficient reference threshold, and generating a high reliability signal if the reliability coefficient is smaller than the reliability coefficient reference threshold;
s106, when the signal processor generates a low-reliability signal when processing the radar signal, acquiring a plurality of reliability coefficients output in real time by the signal processor when processing the subsequent radar signal, comprehensively analyzing, judging the type of the abnormal hidden danger when the signal processor processes the radar signal, outputting the type of the abnormal hidden danger, and prompting the type of the abnormal hidden danger;
when the signal processor generates a low-reliability signal when processing radar signals, acquiring a plurality of reliability coefficients output in real time by the signal processor when processing subsequent radar signals to establish an analysis set, and calibrating the analysis set as Z，Then，jA number representing the confidence coefficient within the analysis set,j=1、2、3、4、……、u，uis a positive integer;
calculating a reliability coefficient standard deviation and a reliability coefficient average value by analyzing a plurality of reliability coefficients in the set, and respectively calibrating the reliability coefficient standard deviation and the reliability coefficient average value asAnd->；
The calculation of the standard deviation of the reliability coefficient and the average value of the reliability coefficient can refer to the standard deviation of the pulse compression factor and the average value of the pulse compression factor, and are not described in detail herein;
standard deviation of credibility coefficientAnd confidence coefficient mean ∈ ->Respectively with a preset standard deviation reference threshold +.>And a preset confidence coefficient reference threshold +.>The comparison is carried out, for example, the following results are obtained:
if it isThe method has the advantages that the reliability is poor when the signal processor processes the radar signal, the potential hazards of abnormality in the accuracy of optimizing and analyzing the radar signal data through the signal processor are large, the high-risk potential abnormalities are generated, the high-risk potential abnormalities are output, and the type of the high-risk potential abnormalities is prompted;
if it isOr->The method has the advantages that the stability of the signal processor when the signal processor processes the radar signal is poor, the abnormal hidden danger that the reliability is unstable is high when the signal processor optimizes and analyzes the accuracy of the radar signal data, the unstable risk abnormal hidden danger is generated, the unstable risk abnormal hidden danger is output, and the type of the unstable risk abnormal hidden danger is prompted;
If it isThe reliability of the signal processor in processing the radar signal is better, and the accuracy of the radar signal data is optimized and analyzed by the signal processorThe hidden danger of abnormality is small, and if accidental abnormality occurs in the credibility of the signal processor when the radar signal is processed, the low-risk abnormal hidden danger is generated, and the low-risk abnormal hidden danger is not output and prompted;
s107, performing target detection by using the data after signal processing;
according to the invention, through monitoring the reliability of the signal processor optimizing and analyzing the radar signal data, when the abnormal hidden danger exists in the operation process of the signal processor, the radar signal data optimized and analyzed by the signal processor is possibly unreliable, the signal processor is used for intelligently sensing and prompting the related users to know, so that the signal processor can be subjected to operation and maintenance management in advance, the accurate detection of the target on water is ensured, the generation of false target reports is effectively avoided, the situation that the key target is missed or an irrelevant target is wrongly reported as a potential threat is effectively prevented, and the accuracy and the reliability of a monitoring system are ensured;
when the abnormal hidden danger exists in the state of the signal processor when the radar signal is processed, the method judges whether the reliability of the signal processor when the radar signal is processed is poor or poor in stability, and is convenient for relevant operation and maintenance managers to know the type of the abnormal hidden danger of the signal processor, so that the relevant operation and maintenance managers can conveniently and efficiently operate and maintain the signal processor, and secondly, when the accidental abnormal situation occurs in the reliability of the signal processor when the signal processor processes the radar signal, no prompt is sent, the signal processor is ensured to optimize and analyze the state of the radar signal data, and the stable and efficient operation of the signal processor is further ensured.
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.
While certain exemplary embodiments of the present invention have been described above by way of illustration only, it will be apparent to those of ordinary skill in the art that modifications may be made to the described embodiments in various different ways without departing from the spirit and scope of the invention. Accordingly, the drawings and description are to be regarded as illustrative in nature and not as restrictive of the scope of the invention, which is defined by the appended claims.
It is noted that relational terms such as first and second, and the like, if any, are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Moreover, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises an element.
It should be understood that, in various embodiments of the present application, the sequence numbers of the foregoing processes do not mean the order of execution, and the order of execution of the processes should be determined by the functions and internal logic thereof, and should not constitute any limitation on the implementation process of the embodiments of the present application.
Those of ordinary skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.
It will be clear to those skilled in the art that, for convenience and brevity of description, specific working procedures of the above-described systems, apparatuses and units may refer to corresponding procedures in the foregoing method embodiments, and are not repeated herein.
In the several embodiments provided in this application, it should be understood that the disclosed systems, devices, and methods may be implemented in other manners. For example, the apparatus embodiments described above are merely illustrative, e.g., the division of the units is merely a logical function division, and there may be additional divisions when actually implemented, e.g., multiple units or components may be combined or integrated into another system, or some features may be omitted or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be an indirect coupling or communication connection via some interfaces, devices or units, which may be in electrical, mechanical or other form.
The units described as separate units may or may not be physically separate, and units shown as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional unit in each embodiment of the present application may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit.
The foregoing is merely specific embodiments of the present application, but the scope of the present application is not limited thereto, and any person skilled in the art can easily think about changes or substitutions within the technical scope of the present application, and the changes and substitutions are intended to be covered by the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.
Claims (10)
1. The radar monitoring method based on the water wireless signal detection processor is characterized by comprising the following steps of:
s101, sending radar signals through a radar system, and receiving radar signals reflected by a target through a radar antenna;
S102, processing the received radar signals through a signal processor;
s103, acquiring a plurality of data information including processing efficiency parameter information and signal quality information when the signal processor processes the radar signal, and processing the processing efficiency parameter information and the signal quality information when the signal processor processes the radar signal after acquisition;
s104, comprehensively analyzing the processing efficiency parameter information and the signal quality information when the signal processor processes the radar signal to generate a reliability coefficient;
s105, comparing and analyzing the reliability coefficient generated when the signal processor processes the radar signal with a preset reliability coefficient reference threshold value to generate a high-reliability signal or a low-reliability signal;
s106, when the signal processor generates a low-reliability signal when processing the radar signal, acquiring a plurality of reliability coefficients output in real time by the signal processor when processing the subsequent radar signal, comprehensively analyzing, judging the type of the abnormal hidden danger when the signal processor processes the radar signal, outputting the type of the abnormal hidden danger, and prompting the type of the abnormal hidden danger;
And S107, performing target detection by using the data after the signal processing.
2. The method for monitoring radar based on a water-borne wireless signal detection processor according to claim 1, wherein the processing performance parameter information of the signal processor when processing radar signals comprises a radar signal amplification anomaly concealment index and a pulse compression anomaly variation index, and after acquisition, the radar signal amplification anomaly concealment index and the pulse compression anomaly variation index of the signal processor when processing radar signals are respectively calibrated asAnd->。
3. The method for monitoring the radar based on the water wireless signal detection processor according to claim 2, wherein the signal quality information of the radar signal when the signal processor processes the radar signal includes a frequency distortion variation drift index, and the frequency distortion variation drift index of the radar signal when the signal processor processes the radar signal is calibrated as follows。
4. The method for radar monitoring based on a water radio signal detection processor according to claim 3, wherein the logic for obtaining the radar signal amplification anomaly concealment index is as follows:
a101, acquiring an optimal amplification gain range of a signal processor in a radar monitoring system when amplifying radar signals, and calibrating the optimal amplification gain range as ；
A102, acquiring a plurality of actual amplification gains generated in a T time when a signal processor in the radar monitoring system processes radar signals, and calibrating the actual amplification gains as，xA number representing the actual amplification gain generated during time T when the signal processor processes the radar signal in the radar monitoring system,x=1、2、3、4、……、m，mis a positive integer;
a103, calculating an abnormal state concealment index of radar signal amplification, wherein the calculated expression is as follows:wherein->Representing that the signal processor in the radar monitoring system is not in the optimal amplification gain range generated in the T time when processing the radar signal +.>Number of actual amplification gain between +.>，/>Is a positive integer which is used for the preparation of the high-voltage power supply,，mrepresenting the total number of actual amplification gains generated during time T when the signal processor processes the radar signal in the radar monitoring system.
5. The method for radar monitoring based on a water radio signal detection processor according to claim 4, wherein the logic for acquiring the pulse compression anomaly variance index is as follows:
b101, acquiring a plurality of actual pulse compression factors generated in T time when a signal processor in the radar monitoring system processes radar signals, and calibrating the actual pulse compression factors as ，yA number representing the actual pulse compression factor generated during time T when the signal processor processes the radar signal in the radar monitoring system,y=1、2、3、4、……、n，nis a positive integer;
b102, calculating a pulse compression factor standard deviation and a pulse compression factor average value by a plurality of actual pulse compression factors acquired in a T time when a radar signal is processed by a signal processor in a radar monitoring system, and respectively calibrating the pulse compression factor standard deviation and the pulse compression factor average value asAnd->；
B103, calculating a pulse compression factor variation coefficient through a pulse compression factor standard deviation and a pulse compression factor average value, wherein the calculated expression is as follows:wherein->Representing the coefficient of variation of the pulse compression factor,，/>。
6. the method for radar monitoring based on a water borne wireless signal detection processor according to claim 5, wherein the logic for obtaining the frequency distortion variation drift index is as follows:
c101, acquiring an expected frequency when a signal processor in the radar monitoring system processes a radar signal, and calibrating the expected frequency as；
C102, acquiring actual frequency conversion frequencies of different moments in T time when a signal processor in the radar monitoring system processes radar signals, and calibrating the actual frequency conversion frequencies as ，vThe number of the actual frequency conversion frequency at different moments in time T when the signal processor processes the radar signal in the radar monitoring system,v=1、2、3、4、……、p，pis a positive integer;
c103, actual conversion frequency when processing radar signal by signal processorAnd the desired frequencyCalculating frequency deviation, comparing the calculated frequency deviation with a preset frequency deviation reference threshold value, if the frequency deviation is greater than or equal to the frequency deviation reference threshold value when a signal processor in the radar monitoring system processes radar signals, calibrating the actual frequency obtained at the corresponding moment as abnormal frequency, and if the frequency deviation is less than the frequency deviation reference threshold value when the signal processor in the radar monitoring system processes radar signals, calibrating the actual frequency obtained at the corresponding moment as normal frequency;
and C104, calculating a frequency distortion variation negligence index, wherein the calculated expression is as follows:wherein->Representing a period of time during which the frequency deviation calculated by the signal processor when processing the radar signal is greater than or equal to the frequency deviation reference threshold value,/>。
7. The method for monitoring radar based on a water radio signal detection processor according to claim 6, wherein a radar signal amplification anomaly concealment index is obtained when the radar signal is processed by the signal processor Pulse compression abnormality variation index->Frequency distortion variation drift index ++>Afterwards, will->、/>And +.>Formulating to generate reliability coefficient +.>The formula according to is:in which, in the process,、/>、/>amplifying anomaly concealment index for radar signals respectively>Pulse compression abnormality variation index->Frequency distortion variation drift index ++>Is a preset proportionality coefficient of>、/>、/>Are all greater than 0.
8. The method for monitoring radar based on a water radio signal detection processor according to claim 7, wherein a reliability coefficient generated when the signal processor processes the radar signal is compared with a predetermined reliability coefficient reference threshold value, and if the reliability coefficient is equal to or greater than the reliability coefficient reference threshold value, a low reliability signal is generated, and if the reliability coefficient is smaller than the reliability coefficient reference threshold value, a high reliability signal is generated.
9. The method for monitoring radar based on a water wireless signal detection processor according to claim 8, wherein when a low-reliability signal is generated when the signal processor processes a radar signal, a plurality of reliability coefficients output in real time when the signal processor processes a subsequent radar signal are acquired to build an analysis set, and the analysis set is calibrated as ZThen，jA number representing the confidence coefficient within the analysis set,j=1、2、3、4、……、u，uis a positive integer;
calculating a reliability coefficient standard deviation and a reliability coefficient average value by analyzing a plurality of reliability coefficients in the set, and respectively calibrating the reliability coefficient standard deviation and the reliability coefficient average value asAnd->。
10. The method for monitoring radar based on a water radio signal detection processor according to claim 9, wherein the confidence coefficient standard deviationAnd confidence coefficient mean ∈ ->Respectively with a preset standard deviation reference threshold valueAnd a preset confidence coefficient reference threshold +.>The comparison is carried out, for example, the following results are obtained:
if it isGenerating high-risk potential abnormalities, outputting the high-risk potential abnormalities, and prompting the type of the high-risk potential abnormalities;
if it isOr->Generating an unstable risk potential abnormality, outputting the unstable risk potential abnormality, and prompting the type of the unstable risk potential abnormality;
if it isAnd generating low-risk potential abnormal hazards, and not outputting and prompting the low-risk potential abnormal hazards.
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