CN112596034A - Electronic countermeasure electromagnetic spectrum control system based on universal radar and control method thereof - Google Patents
Electronic countermeasure electromagnetic spectrum control system based on universal radar and control method thereof Download PDFInfo
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Abstract
The invention discloses an electronic countermeasure electromagnetic spectrum control system based on a general radar and a control method thereof, belonging to the field of radars; a general radar-based electronic countermeasure electromagnetic spectrum control system, comprising: the device comprises a monitoring unit, a signal processing unit, a signal comparison unit, a data storage unit and a positioning unit; when the radar works and generates electronic countermeasure with other radars, communication and monitoring equipment, and further when the electromagnetic spectrum of the own radar weakens and destroys the use efficiency of the electronic equipment, the electromagnetic spectrum of the radar is monitored, and simultaneously monitoring signals are modulated, so that the frequency band of the monitored electromagnetic spectrum is segmented, and interference of characteristics is extracted, and meanwhile, when data storage is carried out, classification storage and compression storage are carried out according to different characteristics of the electromagnetic spectrum in the monitoring signals, and therefore the storage space can be effectively saved.
Description
Technical Field
The invention discloses an electronic countermeasure electromagnetic spectrum control system based on a general radar and a control method thereof, and belongs to the field of radars.
Background
With the high-speed development of signal processing and networking technologies, radar networking has become an important means for resisting electronic interference, stealth airplanes, low-altitude penetration targets, anti-radiation missiles and the like. After the radar is networked, a multi-system, omnibearing and high-precision detection system can be formed on a battlefield, and compared with a single radar, the measurement precision and the recognition capability of the system are greatly improved.
In the aspect of electronic countermeasure, the interconnection and intercommunication of data are enhanced after the radar networking, the advantages of multi-body countermeasure and cooperative countermeasure can be fully exerted, and the anti-interference capability of the radar network is improved, so that a single interference resource cannot effectively interfere with the radar network. In order to improve the interference effect on the radar network, a plurality of interference resources of different types can be networked through a cooperative interference technology, and the purpose of optimal interference is achieved through unified scheduling.
But radar among the prior art is carrying out the during operation, can with other radar and communication, monitoring facilities produces electronic countermeasure, and then the electromagnetic spectrum of own radar weakens, when destroying electronic equipment's use efficiency, simultaneously because the radar is carrying out the during operation, the staff can monitor, monitoring signal is the electromagnetic spectrum signal, and there are these multiple data information in the signal of electromagnetic spectrum, if carry out same storage, can cause the data disorder, simultaneously because operational environment's difference, there is the interference signal of variation in size in the signal of monitoring, thereby influence data quality.
Disclosure of Invention
The purpose of the invention is as follows: an electronic countermeasure electromagnetic spectrum control system based on a general radar and a control method thereof are provided to solve the above problems.
The technical scheme is as follows: a general radar-based electronic countermeasure electromagnetic spectrum control system comprising:
the monitoring unit is used for monitoring and controlling the electromagnetic spectrum of the own radar when the radar works and generates interactive confrontation with other radar monitoring equipment so that the enemy and the opponent weaken and destroy the use efficiency of the electronic equipment of the opponent;
the signal processing unit is used for extracting the electromagnetic spectrum characteristics in the monitoring signals and removing the interference clutter of the monitoring signals;
the signal comparison unit is used for appointing a plurality of specific channels according to working conditions, informing the standard maximum level of the channels to the equipment, and periodically monitoring the channels by the equipment and returning which channels exceed the maximum value according to fixed time intervals;
a data storage unit for storing electromagnetic spectrum data;
and the positioning unit is used for positioning the target of equipment and obstacles which cause interference and performance reduction on own radar.
In one embodiment, in the positioning unit, mainly the position determination and the position determination are performed; the azimuth determination is divided into a single-frequency direction finding function and a broadband direction finding function, wherein the single-frequency direction finding is the direction finding processing of a single electromagnetic signal frequency point, and the broadband direction finding is the direction finding processing of all electromagnetic signal frequencies within a certain bandwidth frequency range; the positioning function is to perform intersection positioning on the original direction-finding data obtained by direction finding to obtain the positioning information of the monitored signal source.
In one embodiment, when signal processing is performed, the system receives signal data and performs interference analysis, and obtains relevant information about the interference signal by analyzing the stored monitoring data, including information about the frequency of the interference signal, the power of the interference signal, the time when the interference occurs, and the like; while determining the percentage of a frequency occupied in a frequency segment of a measurement.
In one embodiment, when data storage is performed, the data storage unit compresses data into a plurality of sequences, wherein each sequence comprises bytes; the method comprises the following steps: unmatched string length, unmatched string bytes, matched string length and matched offset; reading 4 bytes and calculating the value of the bytes; recording the position in the byte stream array last time; matching the position in the byte stream array of the last time with the position in the byte stream array of the data at this time; if the matching is successful, the achievement of the current matching is expanded; if a conflict occurs, it means that a compressible data segment is found, and thus the data is encoded and stored.
A control method of an electronic countermeasure electromagnetic spectrum control system based on a general radar is characterized in that when the electromagnetic spectrum control system is controlled, signal processing is required to be carried out firstly, so that interference and feature extraction in monitoring signals are carried out, and subsequent work is carried out; the method comprises the following specific steps:
s1, processing the electromagnetic spectrum monitoring signal;
s2, comparing signal levels, judging the accuracy of the electromagnetic spectrum and extracting abnormal signals;
s3, classifying and storing the signals;
and S4, performing equipment and obstacles causing interference and performance reduction to perform target positioning.
In one embodiment, when the system is in operation, the electromagnetic spectrum monitoring signal is input into the control system, so as to perform signal processing operation, and the specific steps are as follows:
step 101, modulating a monitoring signal, wherein the amplitude of each oscillation changes, the highest point and the lowest point of each oscillation signal are respectively connected by a dotted line, and the shape of the dotted line is the envelope of the pulse signal;
102, extracting an envelope peak value;
103, firstly segmenting the frequency band of the monitored electromagnetic spectrum;
step 104, sequencing the segments, thereby extracting peak segmentation features;
105, extracting energy distribution characteristics in the extracted peak value segmentation; thus, the following results are obtained:
wherein W represents the sum of energies in the peak segment and (t) represents the acquisition time in the peak segment;
step 106, according to the relativity between the acquisition time and the electromagnetic energy in the peak segment in step 105, and the electromagnetic energy changes with the distribution of the frequency, the formula can further be obtained:
in the formula (I), the compound is shown in the specification,
represents a frequency;
106, performing interference identification and stability detection of extracted features;
step 107, integrating the extracted features to establish a data set A;
step 108, the data set A only represents a data set in one peak value segment, and data in the whole frequency band are integrated, so that a matrix T can be obtained; according to the interference and the interference characteristics existing in each segmented data, the following can be obtained:
wherein m is the number of the characteristic data, and n represents the number of peak segmentation;
step 109, normalization processing is carried out, and the testing distance is reduced;
110, because each characteristic has different judgment on interference identification, different weights are given to different characteristics;
step 111, carrying out weight judgment on the basis of each characteristic judgment template, and further establishing a template center matrix;
step 112, corresponding each row in the feature matrix to a point, and further establishing a high-dimensional space;
113, limiting the threshold value of the template by using the mean value and the mean square error;
step 114, inputting a signal to be detected, and extracting a feature set and a weight matrix;
and step 115, if the distance between the frequency spectrum in the test signal and the template center value is smaller than the radius of the high-dimensional space region represented by the threshold, determining as the corresponding interference source.
In one embodiment, according to the completed electromagnetic spectrum monitoring signal, further extracting features in the monitoring signal, simultaneously setting a plurality of specific channels, simultaneously comparing with the monitoring signal according to the maximum level value of the channels, further completing the judgment of the accuracy of the electromagnetic spectrum, and simultaneously extracting abnormal monitoring signals.
In one embodiment, when performing data classification storage, the collected signal data needs to be locally cached, meanwhile, a monitoring node establishes connection with a monitoring system through a network, acquires the collected data from the monitoring node, performs unpacking of a data transmission protocol, and judges whether the message content is subjected to compression processing or not and which compression coding processing is performed according to information provided by a message header; and performs corresponding processing.
Has the advantages that: when the radar works and generates electronic countermeasure with other radars, communication and monitoring equipment, and further when the electromagnetic spectrum of the own radar weakens and destroys the use efficiency of the electronic equipment, the electromagnetic spectrum of the radar is monitored, and simultaneously monitoring signals are modulated, so that the frequency band of the monitored electromagnetic spectrum is segmented, the interference of characteristics is extracted, and meanwhile, when data storage is carried out, classified storage is carried out according to the different characteristics of the electromagnetic spectrum in the monitoring signals, and compressed storage is carried out, so that the storage space can be effectively saved; therefore, the invention can effectively ensure the stability of the monitoring signal and simultaneously can accurately judge the position of the interference equipment, thereby carrying out reliable electromagnetic spectrum control.
Drawings
FIG. 1 is a flow chart of the operation of the present invention.
FIG. 2 is a data storage flow diagram of the present invention.
Fig. 3 is a flow chart of a signal processing unit of the present invention.
Detailed Description
In the embodiment, as shown in fig. 1, an electronic countermeasure electromagnetic spectrum control system based on a general radar and a control method thereof include:
the monitoring unit is used for monitoring and controlling the electromagnetic spectrum of the own radar when the radar works and generates interactive confrontation with other radar monitoring equipment so that the enemy and the opponent weaken and destroy the use efficiency of the electronic equipment of the opponent;
the signal processing unit is used for extracting the electromagnetic spectrum characteristics in the monitoring signals and removing the interference clutter of the monitoring signals;
the signal comparison unit is used for appointing a plurality of specific channels according to working conditions, informing the standard maximum level of the channels to the equipment, and periodically monitoring the channels by the equipment and returning which channels exceed the maximum value according to fixed time intervals;
a data storage unit for storing electromagnetic spectrum data;
and the positioning unit is used for positioning the target of equipment and obstacles which cause interference and performance reduction on own radar.
In a further embodiment, in the positioning unit, mainly the position determination and the position determination are performed; the azimuth determination is divided into a single-frequency direction finding function and a broadband direction finding function, wherein the single-frequency direction finding is the direction finding processing of a single electromagnetic signal frequency point, and the broadband direction finding is the direction finding processing of all electromagnetic signal frequencies within a certain bandwidth frequency range; the positioning function is to perform intersection positioning on the original direction-finding data obtained by direction finding to obtain the positioning information of the monitored signal source.
In a further embodiment, when signal processing is performed, the system receives signal data and performs interference analysis, and obtains relevant information about the interference signal by analyzing the stored monitoring data, including information about the frequency of the interference signal, the power of the interference signal, the time when the interference occurs, and the like; while determining the percentage of a frequency occupied in a frequency segment of a measurement.
In a further embodiment, in data storage, the data storage unit compresses data into a number of sequences, each sequence comprising bytes; the method comprises the following steps: unmatched string length, unmatched string bytes, matched string length and matched offset; reading 4 bytes and calculating the value of the bytes; recording the position in the byte stream array last time; matching the position in the byte stream array of the last time with the position in the byte stream array of the data at this time; if the matching is successful, the achievement of the current matching is expanded; if a conflict occurs, it means that a compressible data segment is found, and thus the data is encoded and stored.
A control method of an electronic countermeasure electromagnetic spectrum control system based on a general radar is characterized in that when the electromagnetic spectrum control system is controlled, signal processing is required to be carried out firstly, so that interference and feature extraction in monitoring signals are carried out, and subsequent work is carried out; the method comprises the following specific steps:
s1, processing the electromagnetic spectrum monitoring signal;
s2, comparing signal levels, judging the accuracy of the electromagnetic spectrum and extracting abnormal signals;
s3, classifying and storing the signals;
and S4, performing equipment and obstacles causing interference and performance reduction to perform target positioning.
In one embodiment, when the system is in operation, the electromagnetic spectrum monitoring signal is input into the control system, so as to perform signal processing operation, and the specific steps are as follows:
step 101, modulating a monitoring signal, wherein the amplitude of each oscillation changes, the highest point and the lowest point of each oscillation signal are respectively connected by a dotted line, and the shape of the dotted line is the envelope of the pulse signal;
102, extracting an envelope peak value;
103, firstly segmenting the frequency band of the monitored electromagnetic spectrum;
step 104, sequencing the segments, thereby extracting peak segmentation features;
105, extracting energy distribution characteristics in the extracted peak value segmentation; thus, the following results are obtained:
wherein W represents the sum of energies in the peak segment and (t) represents the acquisition time in the peak segment;
step 106, according to the relativity between the acquisition time and the electromagnetic energy in the peak segment in step 105, and the electromagnetic energy changes with the distribution of the frequency, the formula can further be obtained:
in the formula (I), the compound is shown in the specification,
represents a frequency;
106, performing interference identification and stability detection of extracted features;
step 107, integrating the extracted features to establish a data set A;
step 108, the data set A only represents a data set in one peak value segment, and data in the whole frequency band are integrated, so that a matrix T can be obtained; according to the interference and the interference characteristics existing in each segmented data, the following can be obtained:
wherein m is the number of the characteristic data, and n represents the number of peak segmentation;
step 109, normalization processing is carried out, and the testing distance is reduced;
110, because each characteristic has different judgment on interference identification, different weights are given to different characteristics;
step 111, carrying out weight judgment on the basis of each characteristic judgment template, and further establishing a template center matrix;
step 112, corresponding each row in the feature matrix to a point, and further establishing a high-dimensional space;
113, limiting the threshold value of the template by using the mean value and the mean square error;
step 114, inputting a signal to be detected, and extracting a feature set and a weight matrix;
and step 115, if the distance between the frequency spectrum in the test signal and the template center value is smaller than the radius of the high-dimensional space region represented by the threshold, determining as the corresponding interference source.
In a further embodiment, according to the completed electromagnetic spectrum monitoring signal, further extracting features in the monitoring signal, simultaneously setting a plurality of specific channels, simultaneously comparing the maximum level values of the channels with the monitoring signal, further completing the judgment of the accuracy of the electromagnetic spectrum, and simultaneously extracting abnormal monitoring signals.
In a further embodiment, when performing data classification storage, the collected signal data needs to be locally cached, meanwhile, the monitoring node establishes a connection with the monitoring system through a network, acquires the data collected this time from the monitoring node, performs unpacking of a data transmission protocol, and determines whether the message content is subjected to compression processing and which compression encoding processing is performed according to information provided by a message header; and performs corresponding processing.
The working principle is as follows: when the electromagnetic spectrum control system is controlled, signal processing is required to be carried out firstly, so that interference and feature extraction in monitoring signals are carried out, and subsequent work is carried out; firstly, processing an electromagnetic spectrum monitoring signal; secondly, comparing signal levels, thereby judging the accuracy of the electromagnetic spectrum and extracting abnormal signals; meanwhile, classifying and storing the signals; finally, carrying out target positioning on equipment and obstacles causing interference and performance weakening; modulating the monitoring signal, then changing the amplitude of each oscillation, respectively connecting the highest point and the lowest point of each oscillation signal by using a dotted line, wherein the shape of the dotted line is the envelope of the pulse signal, and extracting the peak value of the envelope; firstly, segmenting a frequency band of a monitored electromagnetic spectrum; sequencing the segments so as to extract peak segmentation characteristics; extracting energy distribution characteristics in the extracted peak segmentation, and performing interference identification and stability detection of the extracted characteristics; integrating the extracted features; each line in the feature matrix corresponds to one point, and then a high-dimensional space is established; defining a threshold of the template by using the mean and the mean square error; inputting a signal to be detected, and extracting a feature set and a weight matrix; if the distance between the frequency spectrum in the test signal and the template center value is smaller than the radius of the high-dimensional space area represented by the threshold value, judging that the corresponding interference source monitors the signal according to the completed electromagnetic spectrum, further extracting the feature extraction in the monitoring signal, simultaneously setting a plurality of specific channels, simultaneously comparing the specific channels with the monitoring signal according to the maximum level value of the channels, further finishing the judgment of the accuracy of the electromagnetic spectrum, and simultaneously extracting abnormal monitoring signals;
according to the completed electromagnetic spectrum monitoring signal, further extracting the feature extraction in the monitoring signal, simultaneously setting a plurality of specific channels, simultaneously comparing the specific channels with the monitoring signal according to the maximum level value of the channels, further completing the judgment of the accuracy of the electromagnetic spectrum, and simultaneously extracting abnormal monitoring signals; when data are stored in a classified manner, collected signal data need to be cached locally, meanwhile, a monitoring node is connected with a monitoring system through a network, the collected data are obtained from the monitoring node, unpacking of a data transmission protocol is carried out, and whether the message content is subjected to compression processing or not and which compression coding processing is carried out is judged according to information provided by a message header; and performs corresponding processing.
It should be noted that the various features described in the above embodiments may be combined in any suitable manner without departing from the scope of the invention. The invention is not described in detail in order to avoid unnecessary repetition.
Claims (8)
1. An electronic countermeasure electromagnetic spectrum control system based on a general purpose radar, comprising:
the monitoring unit is used for monitoring and controlling the electromagnetic spectrum of the own radar when the radar works and generates interactive confrontation with other radar monitoring equipment so that the enemy and the opponent weaken and destroy the use efficiency of the electronic equipment of the opponent;
the signal processing unit is used for extracting the electromagnetic spectrum characteristics in the monitoring signals and removing the interference clutter of the monitoring signals;
the signal comparison unit is used for appointing a plurality of specific channels according to working conditions, informing the standard maximum level of the channels to the equipment, and periodically monitoring the channels by the equipment and returning which channels exceed the maximum value according to fixed time intervals;
a data storage unit for storing electromagnetic spectrum data;
and the positioning unit is used for positioning the target of equipment and obstacles which cause interference and performance reduction on own radar.
2. The system of claim 1, wherein in the positioning unit, mainly the orientation determination and the position determination are performed; the azimuth determination is divided into a single-frequency direction finding function and a broadband direction finding function, wherein the single-frequency direction finding is the direction finding processing of a single electromagnetic signal frequency point, and the broadband direction finding is the direction finding processing of all electromagnetic signal frequencies within a certain bandwidth frequency range; the positioning function is to perform intersection positioning on the original direction-finding data obtained by direction finding to obtain the positioning information of the monitored signal source.
3. The system of claim 1, wherein during signal processing, the system receives signal data and performs interference analysis, and analyzes the stored monitoring data to obtain information related to the interference signal, including information about frequency of the interference signal, power of the interference signal, and time of occurrence of interference; while determining the percentage of a frequency occupied in a frequency segment of a measurement.
4. The system of claim 1, wherein the data storage unit compresses the data into a plurality of sequences, each sequence comprising bytes; the method comprises the following steps: unmatched string length, unmatched string bytes, matched string length and matched offset; reading 4 bytes and calculating the value of the bytes; recording the position in the byte stream array last time; matching the position in the byte stream array of the last time with the position in the byte stream array of the data at this time; if the matching is successful, the achievement of the current matching is expanded; if a conflict occurs, it means that a compressible data segment is found, and thus the data is encoded and stored.
5. A control method of the electronic countermeasure electromagnetic spectrum control system based on the general radar as the claim 2 to 4, characterized in that, when the electromagnetic spectrum control system is controlled, the signal processing is needed to be carried out firstly, so as to carry out the interference in the monitoring signal and the feature extraction, so as to carry out the subsequent work; the method comprises the following specific steps:
s1, processing the electromagnetic spectrum monitoring signal;
s2, comparing signal levels, judging the accuracy of the electromagnetic spectrum and extracting abnormal signals;
s3, classifying and storing the signals;
and S4, performing equipment and obstacles causing interference and performance reduction to perform target positioning.
6. The method for controlling the electronic countermeasure electromagnetic spectrum control system based on the general radar as claimed in claim 5, wherein when the system is operating, the electromagnetic spectrum monitoring signal is input into the control system, so as to perform signal processing operation, and the specific steps are as follows:
step 101, modulating a monitoring signal, wherein the amplitude of each oscillation changes, the highest point and the lowest point of each oscillation signal are respectively connected by a dotted line, and the shape of the dotted line is the envelope of the pulse signal;
102, extracting an envelope peak value;
103, firstly segmenting the frequency band of the monitored electromagnetic spectrum;
step 104, sequencing the segments, thereby extracting peak segmentation features;
105, extracting energy distribution characteristics in the extracted peak value segmentation; thus, the following results are obtained:
wherein W represents the sum of energies in the peak segment and (t) represents the acquisition time in the peak segment;
step 106, according to the relativity between the acquisition time and the electromagnetic energy in the peak segment in step 105, and the electromagnetic energy changes with the distribution of the frequency, the formula can further be obtained:
in the formula (I), the compound is shown in the specification,
represents a frequency;
106, performing interference identification and stability detection of extracted features;
step 107, integrating the extracted features to establish a data set A;
step 108, the data set A only represents a data set in one peak value segment, and data in the whole frequency band are integrated, so that a matrix T can be obtained; according to the interference and the interference characteristics existing in each segmented data, the following can be obtained:
wherein m is the number of the characteristic data, and n represents the number of peak segmentation;
step 109, normalization processing is carried out, and the testing distance is reduced;
110, because each characteristic has different judgment on interference identification, different weights are given to different characteristics;
step 111, carrying out weight judgment on the basis of each characteristic judgment template, and further establishing a template center matrix;
step 112, corresponding each row in the feature matrix to a point, and further establishing a high-dimensional space;
113, limiting the threshold value of the template by using the mean value and the mean square error;
step 114, inputting a signal to be detected, and extracting a feature set and a weight matrix;
and step 115, if the distance between the frequency spectrum in the test signal and the template center value is smaller than the radius of the high-dimensional space region represented by the threshold, determining as the corresponding interference source.
7. The method as claimed in claim 5, wherein the electromagnetic spectrum monitoring signal is further extracted, a plurality of specific channels are set, and the electromagnetic spectrum monitoring signal is compared with the monitoring signal according to the maximum level value of the channels, so as to determine the accuracy of the electromagnetic spectrum and extract abnormal monitoring signals.
8. The method as claimed in claim 5, wherein when data is classified and stored, the collected signal data needs to be cached locally, the monitoring node establishes a connection with the monitoring system through a network, acquires the data collected this time from the monitoring node, performs unpacking of the data transmission protocol, and determines whether the message content is compressed or not and which kind of compression and encoding is performed according to information provided by the message header; and performs corresponding processing.
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Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101464513A (en) * | 2007-12-21 | 2009-06-24 | 中国电子科技集团公司第五十研究所 | Non-continuous spectrum high-frequency radar range sidelobe suppression apparatus and method thereof |
| CN111428561A (en) * | 2020-02-24 | 2020-07-17 | 西南交通大学 | Broadband electromagnetic interference source identification method and system, storage medium and equipment |
| CN111474524A (en) * | 2020-04-22 | 2020-07-31 | 安徽华可智能科技有限公司 | Radar interference equipment interference effect monitoring and decision support system |
-
2020
- 2020-10-30 CN CN202011190831.1A patent/CN112596034A/en active Pending
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101464513A (en) * | 2007-12-21 | 2009-06-24 | 中国电子科技集团公司第五十研究所 | Non-continuous spectrum high-frequency radar range sidelobe suppression apparatus and method thereof |
| CN111428561A (en) * | 2020-02-24 | 2020-07-17 | 西南交通大学 | Broadband electromagnetic interference source identification method and system, storage medium and equipment |
| CN111474524A (en) * | 2020-04-22 | 2020-07-31 | 安徽华可智能科技有限公司 | Radar interference equipment interference effect monitoring and decision support system |
Non-Patent Citations (3)
| Title |
|---|
| 周涛 等: "基于频谱的机场周边宽带电磁干扰源识别", 《电子技术应用》 * |
| 徐梓健: "电磁频谱监测系统设计及算法研究", 《中国优秀硕士学位论文全文数据库 工程科技Ⅱ辑》 * |
| 马泽军: "电磁频谱监测与认知服务技术研究", 《中国优秀硕士学位论文全文数据库 信息科技辑》 * |
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