An electromagnetic spectrum sensing method in a radio frequency sparse environment

Abstract

The application provides a kind of electromagnetic spectrum sensing method in radio frequency sparse environment, method as follows: normal working condition, the frequency point electromagnetic environment parameter reported by channel is received regularly, and the frequency point electromagnetic environment parameter is reported to host computer regularly;Control channel to open full-band scanning, regularly scan and collect the electromagnetic environment parameter of all frequency points of channel, calculate the comprehensive field intensity value of each frequency point, as the basis for judging spectrum advantage and disadvantage;Get the comprehensive field intensity value of each frequency point, select the frequency point whose comprehensive field intensity value is lower than the pre-set field intensity threshold value, and make frequency table according to the discreteness rule;Frequency table is reported to host computer for confirmation after being made, and the discreteness of frequency table is checked and optimized, if it meets the frequency discreteness rule, it is issued, if it does not meet the frequency discreteness rule, it is not issued and prompted.The application has the ability of fast sensing of environmental spectrum resource, reliable transmission in complex environment and low frequency update overhead.

Description

Technical Field

[0001] This invention relates to the field of spectrum sensing and frequency selection technology, and more specifically, to an electromagnetic spectrum sensing method in a radio frequency sparse environment. Background Technology

[0002] Battlefield operational environments encompass a variety of complex terrains and a three-dimensional space encompassing mountains, jungles, high-altitude and frigid areas, forested areas, deserts, islands, and cities. Combat equipment must effectively resist the effects of various fading channels in complex environments, as well as significant variations in received signal strength and signal-to-noise ratio due to obstruction. Simultaneously, the battlefield environment features a dense deployment of numerous frequency-using and countermeasure equipment by both sides. Extensive cooperative, non-cooperative, and malicious electromagnetic interference in the battlefield environment severely impacts communication quality, resulting in a severe shortage of available frequency resources in the frequency domain, exhibiting radio frequency sparsity characteristics. Therefore, research on frequency selection and optimization in radio frequency sparse environments is particularly urgent.

[0003] Existing similar technical solutions, such as adaptive frequency selection communication in multi-frequency hopping radio networks, achieve adaptive frequency selection at the underlying level. They make decisions and selections based on link quality reference data and cannot reflect the ability to adapt to changes in the real-time battlefield electromagnetic environment. Summary of the Invention

[0004] To overcome the problems of existing technologies, such as poor rapid environmental perception, inability to reliably transmit in complex environments, and high frequency update overhead, in environments with severely insufficient available frequency resources in the frequency domain and exhibiting radio frequency sparse characteristics, this invention proposes an electromagnetic spectrum sensing method for radio frequency sparse environments. This method has the capabilities of rapid perception of environmental spectrum resources, reliable transmission in complex environments, and low frequency update overhead.

[0005] To solve the above-mentioned technical problems, the technical solution of the present invention is as follows:

[0006] A method for sensing electromagnetic spectrum in a radio frequency sparse environment, the method comprising the following steps:

[0007] S1: Under normal operating conditions, periodically receive frequency electromagnetic environment parameters reported by the channel, including parameters of idle and working frequencies, and periodically report the frequency electromagnetic environment parameters to the host computer.

[0008] S2: The control channel starts full-band scanning, and periodically scans and collects electromagnetic environment parameters of all frequency points of the channel, including frequency, intermediate frequency field strength information, and channel gain information, and calculates the comprehensive field strength value of each frequency point as the basis for judging the spectrum quality.

[0009] S3: Obtain the comprehensive field strength value of each frequency point, select the frequency points whose comprehensive field strength value is lower than the preset field strength threshold, and make the frequency table according to the discreteness rule;

[0010] S4: The frequency table is reported to the upper computer for confirmation, and the frequency table dispersion is checked and optimized. If the frequency dispersion rule is met, the frequency table is issued. If the frequency dispersion rule is not met, the frequency table is not issued and a prompt is given.

[0011] Preferably, in S2, the formula for calculating the comprehensive field strength value of each frequency point is as follows:

[0012] Comprehensive field strength = coefficient - 10 * ln (2^31 / intermediate frequency field strength) + gain.

[0013] Preferably, in S1, the electromagnetic environment parameters of the frequency points are reported to the upper computer at regular intervals, and the idle frequency spectrum and the working frequency spectrum diagram are displayed in real time on the upper computer interface.

[0014] Preferably, after collecting the electromagnetic environment parameters of all frequency points of the channel, the electromagnetic environment parameter information of the scan is sent to the upper computer at regular intervals. The upper computer displays the spectrum information using a dot-line graph. After the scan is completed, the occupation ratio of the frequency points exceeding the threshold value is calculated, and a column chart of the occupation ratio is displayed using different colors.

[0015] Preferably, the frequency table dispersion checking and optimization includes manual optimization of the frequency table and automatic optimization of the frequency table.

[0016] Further, the manual optimization of the frequency table is as follows:

[0017] Inquire the error code information of the channel, receive the error code rate of each frequency point reported, count the error code rate reported, sort the frequency points according to the error code rate from large to small, and send the information of the first N frequency points with larger error code rate to the upper computer for display.

[0018] According to the reported error code rate information, select the frequency point to be replaced, and find the position of the corresponding frequency point in the frequency table according to the selected frequency point sequence number.

[0019] In S3, select a new frequency point from the remaining frequency points to replace. The new frequency point recalculates the frequency dispersion type rule. After the replacement is completed, the frequency point is reported to the upper computer, and after confirmation, it is manually issued.

[0020] Further, the automatic optimization of the frequency table is as follows:

[0021] According to the spectrum information of the real-time idle frequency points and working frequency points obtained in S1, the number of times that the comprehensive field strength value of each frequency point is reported is counted at regular intervals. If the cumulative number of times that the comprehensive field strength value reported more than K1 times exceeds the pre-set field strength threshold value, it is considered to be a frequency bad point, and the corresponding frequency value is recorded in the bad point array.

[0022] According to the channel error rate of each frequency point, the number of reporting each frequency point is accumulated, and the error rate of more than K2 times of reporting is greater than 0.01, so that it is considered that the frequency bad point is recorded in the bad point array corresponding to the frequency value;

[0023] After the host computer selects the automatic optimization frequency table, the automatic optimization frequency table process is started, the frequency table being used is inquired, the corresponding frequency point in the bad point array is found in the frequency table, and the bad point is replaced one by one in the S2 frequency scanning result according to the frequency discreteness rule, and the frequency table is automatically issued after completion.

[0024] Further, the frequency discreteness rule.

[0025] 1. The frequency is divided into different frequency bands, and the segment number is marked with odd and even numbers;

[0026] 2. The up and down frequency tables are orthogonal, that is, in the odd segment and the even segment;

[0027] 3. AB C: ensure that the B point is not in the same segment as the A point and the C point, and ensure that the first and last positions of the frequency table are not in the same segment, and AC is not in the same segment;

[0028] 4. AB C: ABC cannot be a multiple relationship.

[0029] A computer device, comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor executes the computer program to implement the steps of the method described above.

[0030] A computer readable storage medium having a computer program stored thereon, wherein the computer program is executed by a processor to implement the steps of the method described above.

[0031] Compared with the prior art, the beneficial effects of the technical scheme of the present application are:

[0032] The present application designs an electromagnetic spectrum sensing method in a radio frequency sparse environment, which can enable the data link terminal to have fast cognitive ability to the environment, meet the reliable transmission of end users in complex environments, reduce frequency update overhead, and avoid network oscillation.

[0033] The present application is based on real-time electromagnetic spectrum environment data, collects and analyzes the spectrum data, and makes a frequency table and optimizes the frequency according to certain rules, which can better reflect the electromagnetic spectrum sensing and optimization in the real environment. BRIEF DESCRIPTION OF DRAWINGS

[0034] Figure 1 The present application is based on real-time electromagnetic spectrum environment data, collects and analyzes the spectrum data, and makes a frequency table and optimizes the frequency according to certain rules, which can better reflect the electromagnetic spectrum sensing and optimization in the real environment.

[0035] Figure 2A flow chart of a frequency table making process of the embodiment.

[0036] Figure 3 A flow chart of an automatic optimization frequency table of the embodiment. DETAILED DESCRIPTION

[0037] The technical solutions in the embodiments of the present application will be clearly and completely described with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application and are used for example illustration only, and cannot be understood as a limitation to the present patent. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor fall within the scope of protection of the present application.

[0038] The technical solutions of the present application will be further described below with reference to the drawings and embodiments.

[0039] Embodiment 1

[0040] As shown in the figure, a spectrum sensing method based on a radio frequency sparse environment comprises the following steps: Figure 1

[0041] S1: Spectrum sensing and display: in a normal working state, the electromagnetic environment parameters of frequency points reported by a channel are received in a time manner, including the parameters of idle frequency points and working frequency points, and the electromagnetic environment parameters of frequency points are reported to an upper computer in a time manner.

[0042] In the present example, the frequency range of system working is 30-88MHz. The channel reports information of 32 frequency points every second, including idle frequency points and working frequency points.

[0043] In a specific embodiment, S1, the electromagnetic environment parameters of frequency points are reported to the upper computer in a time manner, and the idle spectrum and working spectrum diagram are displayed in real time on the interface of the upper computer.

[0044] S2: Control channel to start full-band scanning, collect electromagnetic environment parameters of all frequency points of the channel in a time scanning manner, including frequency, intermediate frequency field strength information, channel gain information, calculate the comprehensive field strength value of each frequency point as the basis for spectrum advantage and disadvantage judgment.

[0045] In a specific embodiment, the parameters received and analyzed by the frequency selection module include frequency, intermediate frequency field strength information, channel gain information, and the corresponding frequency word is calculated according to the formula:

[0046] Frequency word=(frequency-30)*0.05+1;

[0047] According to the formula:

[0048] Comprehensive field strength=1.5-10*ln(2^31 / intermediate frequency field strength)+gain ​

[0049] The comprehensive field strength corresponding to each frequency point is calculated.

[0050] The frequency selection module reports the frequency point and the comprehensive field strength information to the upper computer software every second, and the upper computer displays the idle frequency spectrum state and the working frequency spectrum state in real time.

[0051] In a specific embodiment, after collecting the electromagnetic environment parameters of all frequency points of the channel, the scanning electromagnetic environment parameter information is sent to the upper computer at a certain time, the upper computer displays the spectrum information by using a dot-line graph, and after the scanning is completed, the occupation ratio of the frequency points exceeding the threshold value is calculated, and the column chart of the occupation ratio is displayed by using different colors.

[0052] Specifically, the field strength threshold value is input in the software interface of the upper computer, and the spectrum sensing button is clicked to issue a full-band scanning command. The control channel starts full-band scanning, collects the electromagnetic environment parameters of all frequency points of the channel, and the upper computer software displays the spectrum information of 1160 frequency points of the full-band in real time. The real-time field strength, the maximum field strength and the average field strength of the frequency points are displayed in the full-band spectrum display graph. The software scans at a certain time for 5 minutes, and when the time arrives, the occupation ratio of the frequency points exceeding the field strength threshold value is calculated according to the set threshold value, and the column chart of the occupation ratio is displayed by using different colors.

[0053] S3: Obtain the comprehensive field strength value of each frequency point, select the frequency points with the comprehensive field strength value lower than the pre-set field strength threshold value, and make a frequency table according to the discreteness rule.

[0054] In a specific embodiment, the frequency table is made according to the spectrum sensing result: after the full-band scanning is completed, the field strength information of 1160 frequency points of the full-band is obtained, the average field strength of each frequency point is used as the basis for making the table, the field strength threshold value is set to-80dB, and the frequency points with the field strength less than-80dB are selected for making the table. When making the table, the following frequency discreteness rules are followed:

[0055] 1. The frequencies are divided into different bands, and the band numbers are marked by odd and even numbers;

[0056] 2. The upper and lower frequency tables are orthogonal, that is, they are in odd and even bands respectively;

[0057] 3. AB C: Ensure that the B point is not in the same band as the A point and the C point, and ensure that the first and last positions of the frequency table are not in the same band, and AC is not in the same band;

[0058] 4. AB C: ABC cannot be a multiple relationship.

[0059] For example, Figure 2The full-band idle frequency point field strength is sorted from small to large, then segmented by odd and even, the comprehensive field strength value of each frequency point is compared with the set field strength threshold, the frequency points less than-80dB field strength are selected into the good point set, and the frequency table is tabulated according to the frequency discreteness rule; for the frequency points greater than-80dB field strength, it is determined as a bad point and discarded.

[0060] S4: According to the frequency discreteness rule, the frequency table is completed, and the frequency table is reported to the upper computer for confirmation, and the frequency table discreteness is checked and optimized, if it meets the frequency discreteness rule, it is issued, if it does not meet the frequency discreteness rule, it is not issued and prompted.

[0061] In a specific embodiment, the checking and optimization of the frequency table discreteness includes manual optimization of the frequency table and automatic optimization of the frequency table.

[0062] The manual optimization of the frequency table: the upper computer software interface clicks the optimized frequency table, the software issues channel error rate query signaling, queries channel error information, and receives the reported error rate of each frequency point. The frequency selection module receives the reported error rate of each frequency point, sorts the frequency points according to the error rate from large to small, and sends the information of the first 20 frequency points with larger error rate to the upper computer software display.

[0063] According to the reported error rate information, the frequency point to be replaced is selected, and the position of the corresponding frequency point in the frequency table is found according to the selected frequency point sequence number.

[0064] The specific operation is as follows: in the interface of reporting error rate, the frequency point to be replaced is checked, and the confirmation is clicked. The frequency selection module identifies the error rate sequence number checked, analyzes the frequency point corresponding to the sequence number, and queries the frequency table. The frequency point to be replaced and its position are found in the reported frequency table. In S3, a new frequency point is selected from the remaining frequency points to replace the old one. The new frequency point re-calculates the frequency discreteness rule. After the replacement is completed, the frequency point is reported to the upper computer, and the replaced frequency point is displayed in the displayed frequency table. After the user confirms, the manual optimization of the frequency table is completed after the user confirms and clicks the frequency point to be issued.

[0065] In a specific embodiment, as shown in Figure 3 The automatic optimization of the frequency table includes:

[0066] 1) According to the spectrum information of the real-time idle frequency point and the working frequency point obtained in S1, the number of times of reporting the comprehensive field strength value of each frequency point is counted, and the field strength threshold is set. If the field strength information accumulated for more than 5 times exceeds the pre-set field strength threshold, it is considered as a frequency bad point, and the corresponding frequency value is recorded in the bad point array.

[0067] 2) Obtain the channel error rate of each frequency point, accumulate the number of reports on each frequency point, and if the error rate of more than 10 reports is greater than 0.01, it is considered to be a frequency bad point, and the corresponding frequency value is recorded in the bad point array.

[0068] 3) After the host computer selects the automatic optimization frequency table, the automatic optimization frequency table process is started, the frequency table in use is queried, the corresponding frequency point in the bad point array is found in the frequency table, and the bad point is replaced one by one according to the frequency dispersion rule in the S2 frequency sweep result. After completion, the frequency table is automatically issued.

[0069] The embodiment designs an electromagnetic spectrum sensing method in a radio frequency sparse environment, which can enable the data link terminal to have fast cognitive ability to the environment, meet the reliable transmission of the terminal user in a complex environment, reduce the frequency update overhead, and avoid network oscillation.

[0070] The embodiment is based on real-time electromagnetic spectrum environment data, collects and analyzes the spectrum data, and makes a frequency table and optimizes the frequency according to certain rules, which can better reflect the electromagnetic spectrum sensing and optimization in a real environment.

[0071] The spectrum resources of weapon systems generally adopt a static frequency management method. Taking the frequency band of 30MHz-88MHz as an example, the spectrum resource competition is particularly fierce, but in the actual use process, many frequencies are not always occupied in the assigned region and time, especially a large number of allocated spectrum that is only applied to a specific geographical area or a specific period of time cannot be fully utilized. Therefore, some frequencies need to be recycled and reused in time to avoid spectrum waste.

[0072] Accurate electromagnetic environment situation awareness is the basis, which needs to monitor the electromagnetic environment and the emission signal of each radio equipment in the combat area in real time and dynamically, master the use of the assigned frequency, timely find and locate the radio interference signal, lay a good foundation for interference investigation (i.e. interference source finding and elimination), collect the actual situation and change trend of the space wave propagation environment, evaluate the influence degree of the electromagnetic environment on the combat effectiveness of the frequency-using system, and provide support for the coordinated frequency use of the ground-to-air anti-missile weapon system.

[0073] According to the change of battlefield frequency use demand, frequency use situation, natural environment mutation / interference by the enemy, etc., the frequency use of the system in the combat area is dynamically adjusted in time, the frequency resource use optimization for completing the main or key task is realized, the illegal frequency use and harmful interference are timely found according to the frequency use situation information, the electromagnetic interference source is quickly analyzed and found, the processing suggestion is proposed, the frequency coordination is organized, and the interference conflict between the frequency-using equipment is eliminated.

[0074] Embodiment 2

[0075] A computer device comprises a memory, a processor, and a computer program stored in the memory and executable on the processor, and the processor implements the steps of the method of embodiment 1 when executing the computer program.

[0076] The memory and the processor are connected by a bus, which can include any number of interconnected buses and bridges, and which connects various circuits of the one or more processors and the memory together. The bus can also connect various other circuits such as peripheral devices, voltage regulators, and power management circuits, which are well known in the art, and thus, are not further described herein. A bus interface provides an interface between the bus and a transceiver. The transceiver can be one element or multiple elements, such as multiple receivers and transmitters, which provide a means for communicating with various other apparatus over a transmission medium. Data processed by the processor is transmitted over a wireless medium via an antenna, and further, the antenna receives data and transmits the data to the processor.

[0077] Embodiment 3

[0078] A computer readable storage medium, which stores a computer program, and the computer program is executed by a processor to implement the steps of the method of embodiment 1.

[0079] That is, those skilled in the art can understand that all or part of the steps of the above-mentioned embodiment method can be completed by a program instructing the relevant hardware, the program is stored in a storage medium, and includes a plurality of instructions for causing a device (which can be a single-chip microcomputer, a chip, etc.) or a processor to execute all or part of the steps of the method described in various embodiments of the present application. The foregoing storage medium includes: a U disk, a mobile hard disk, a read-only memory (ROM, Read-Only Memory), a random access memory (RAM, Random Access Memory), a magnetic disk or an optical disk, and various storage medium capable of storing program codes.

[0080] Obviously, the above embodiments of the present application are merely examples for clearly illustrating the present application, and are not intended to limit the implementation manner of the present application. Based on the above description, those skilled in the art can make other different forms of changes or modifications. Here, it is not necessary and impossible to enumerate all the implementation manners. Any modification, equivalent replacement, and improvement made within the spirit and principle of the present application shall be included in the protection scope of the claims of the present application.

Claims

1. A method for electromagnetic spectrum sensing in a radio-sparse environment, the method comprising: The method comprises the following steps: ​ S1: In normal working state, the electromagnetic environment parameters of the frequency points reported by the channel are received regularly, including the parameters of the idle frequency points and the working frequency points, and the electromagnetic environment parameters of the frequency points are reported to the upper computer regularly; S2: Control the channel to start full-band scanning, regularly scan and collect the electromagnetic environment parameters of all frequency points of the channel, including the frequency, the intermediate frequency field strength information, and the channel gain information, calculate the comprehensive field strength value of each frequency point, and use the comprehensive field strength value as the basis for judging the advantages and disadvantages of the spectrum; S3: Obtain the comprehensive field strength value of each frequency point, select the frequency points with the comprehensive field strength value lower than the pre-set field strength threshold, and make a frequency table according to the discreteness rule; S4: The frequency table is completed and reported to the upper computer for confirmation, and the frequency table discreteness is checked and optimized, if the frequency discreteness rule is met, the frequency table is issued, if the frequency discreteness rule is not met, the frequency table is not issued and a prompt is given; The frequency discreteness rule comprises: (a) The frequency is divided into different frequency bands, and the segment number is marked with odd and even numbers; (b) The upper and lower frequency tables are orthogonal, that is, they are in odd and even segments respectively; (c) A B C: Ensure that the B point is not in the same segment as the A point and the C point, and ensure that the beginning and the end of the frequency table are not in the same segment, and AC is not in the same segment; (d) A B C: ABC cannot be a multiple relationship.

2. The method for electromagnetic spectrum sensing in radio-frequency sparse environments according to claim 1, characterized by: The formula for calculating the comprehensive field strength value of each frequency point in S2 is as follows: Comprehensive field strength=coefficient-10*ln(2^31 / intermediate frequency field strength)+gain.

3. The method for electromagnetic spectrum sensing in radio-frequency sparse environments of claim 1, wherein: In S1, the electromagnetic environment parameters of the frequency points are reported to the upper computer regularly, and the idle spectrum and the working spectrum diagram are displayed on the upper computer interface in real time.

4. The method for electromagnetic spectrum sensing in radio-frequency sparse environments of claim 1, wherein: After regularly scanning and collecting the electromagnetic environment parameters of all frequency points of the channel, the scanned electromagnetic environment parameter information is sent to the upper computer regularly, the upper computer displays the spectrum information by using a point-line diagram, and after the scanning is completed, the occupation ratio of the frequency points exceeding the threshold value is calculated, and the columnar chart of the occupation ratio is displayed by using different colors.

5. The method for electromagnetic spectrum sensing in radio-frequency sparse environments of claim 1, wherein: The frequency table discreteness is checked and optimized, including manual optimization of the frequency table and automatic optimization of the frequency table.

6. The method for electromagnetic spectrum sensing in a radio-frequency sparse environment of claim 5, wherein: The manual optimization of the frequency table is as follows: Query the channel error code information, receive the error code rate of each frequency point reported, count the reported error code rate, sort the frequency points according to the error code rate from large to small, and send the information of the first N frequency points with large error code rate to the upper computer for display, According to the reported error code rate information, select the frequency point to be replaced, and find the position of the corresponding frequency point in the frequency table according to the selected frequency point serial number; In S3, select a new frequency point from the remaining frequency points to replace, recalculate the frequency discreteness rule of the new frequency point, report the frequency point to the upper computer after the replacement is completed, and manually issue after confirmation.

7. The method of electromagnetic spectrum sensing in a radio-frequency sparse environment of claim 6, wherein: The automatic optimization of the frequency table is as follows: According to the real-time spectrum information of the idle frequency points and the working frequency points obtained in S1, the number of times that the comprehensive field strength value of each frequency point is reported is counted regularly, and if the comprehensive field strength value reported more than K1 times exceeds the pre-set field strength threshold, it is considered that the frequency is a bad point, and the corresponding frequency value is recorded in the bad point array. According to the channel error rate of each frequency point, the number of reporting of each frequency point is accumulated, and the error rate of more than K2 times of reporting is greater than 0.01, so that the frequency bad point is considered, and the corresponding frequency value is recorded in the bad point array; After the host computer selects the automatic optimization frequency table, the automatic optimization frequency table process is started, the frequency table being used is inquired, the corresponding frequency point in the bad point array is found in the frequency table, the bad points are replaced one by one in the S2 frequency scanning result according to the frequency dispersion rule, and the frequency table is automatically issued after completion.

8. A computer device comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, characterized in that: The processor executes the computer program to implement the steps of the method of any one of claims 1-7.

9. A computer readable storage medium having stored thereon a computer program, characterized in that: The computer program is executed by the processor to implement the steps of the method of any one of claims 1-7.

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