Multi-satellite spectrum data interference identification method based on decentralized acquisition

Abstract

The invention provides a multi-satellite spectrum data interference identification method based on decentralized acquisition, and belongs to the technical field of satellite communication. According to the method, unified modeling is performed on frequency spectrum data, local frequency spectrum data are acquired according to all earth ball stations, conversion from intermediate frequency to radio frequency is performed according to the equipment connection relation of the stations, and then data collection and analysis are performed on the converted frequency spectrum data and satellite communication equipment monitoring information. Communication state confirmation, frequency interference discovery, frequency interference positioning and historical spectrum backtracking are realized. According to the invention, the unified management of the whole network spectrum resource use state in the multi-satellite multi-transponder satellite communication system can be realized, the centralized management and control of the frequency resources by satellite communication commanders can be assisted, and a powerful basis can be provided during frequency adjustment or emergency disposal.

Description

Technical Field

[0001] The present invention relates to the field of satellite communication technology, and in particular to a method for identifying interference of multi-satellite spectrum data based on dispersed collection. Background Art

[0002] Currently, satellite communication earth stations can collect locally transmitted and received satellite communication spectrum data through spectrum monitoring equipment, but can only monitor the usage status of local satellite communication frequency resources, especially in multi-satellite multi-transponder satellite communication systems.

[0003] Existing technologies often expand the spectrum data collection capabilities of satellite communication earth stations by adding ground satellite communication equipment and monitoring equipment to a single station. However, this method is still limited by many conditions such as beam coverage, weather, and surrounding environment, and cannot achieve unified management of satellite communication resources across the entire network. Summary of the Invention

[0004] In order to solve the problem that the existing technology cannot centrally and uniformly manage the spectrum resources of the entire network of a multi-satellite multi-transponder satellite communication system, the present invention proposes an interference identification method for multi-satellite spectrum data based on decentralized collection.

[0005] The technical solution adopted in the present invention is:

[0006] A method for identifying interference based on distributed multi-satellite spectrum data is applied to a satellite communication management system consisting of a central management station and remote earth stations. The method includes an execution process at the remote earth station and an execution process at the central management station. The execution process at the remote earth station includes the following steps:

[0007] 101. Unified Modeling: Analyze satellite communication spectrum data and equipment performance parameter information to create satellite communication spectrum data and equipment performance parameter information structure;

[0008] 102. Spectrum Data Collection: Remote earth stations are equipped with spectrum monitoring equipment. Real-time satellite communication spectrum data is collected from the spectrum monitoring equipment through station management software. Satellite communication spectrum data consists of a set of carrier characteristic values, including center frequency, occupied bandwidth, and power value information.

[0009] 103. Spectrum Data Conversion: Based on the remote earth station's equipment connections and the deployment locations of spectrum monitoring and collection points, the station management software uniformly converts satellite communication spectrum data into RF uplink values. Equipment connections refer to the connections between the modem, upconverter, downconverter, power amplifier, low-noise amplifier, and antenna. Spectrum monitoring and collection locations are divided into four types: IF uplink, IF downlink, RF uplink, and RF downlink.

[0010] 104. Equipment parameter monitoring: The remote earth station has the ability to monitor satellite communication ground equipment within the station. The station management software collects relevant performance parameter information of modems, upconverters, downconverters, power amplifiers, low-noise amplifiers, and antenna equipment in real time;

[0011] 105. Data reporting: The station management software regularly reports spectrum data and equipment performance parameter information to the central management station;

[0012] The central management station execution process includes the following steps:

[0013] 201. Unified Modeling: Analyze satellite communication spectrum data, equipment performance parameters and satellite communication resource information, and create satellite communication spectrum data, equipment performance parameters and satellite communication resource information structures;

[0014] 202. Satellite Communication Planning: The central management station conducts satellite communication planning using satellite spectrum data integrated status management software. The planning content includes information on earth station communication relationships, satellites used for communication, beams, transponders, transmit and receive frequencies, and occupied bandwidth.

[0015] 203. Collecting remote station data: The satellite spectrum data integrated status management software of the central management station receives spectrum data and equipment performance parameter information reported by remote earth stations and stores the data;

[0016] 204. Spectrum data fusion: Different earth station antennas point to different satellites. The central management station collects spectrum data from multiple satellites. The spectrum data reported by earth stations pointing to the same satellite is duplicate information. The satellite spectrum data comprehensive status management software fuses the spectrum data collected by multiple remote earth stations.

[0017] 205. Frequency interference judgment: The satellite spectrum data integrated status management software performs real-time spectrum detection, compares the carrier characteristic value with the planned transmit and receive frequency, and identifies normal carriers and interfering carriers. Carriers with characteristic values ​​that do not match the planned transmit and receive frequency are identified as interfering carriers.

[0018] 206. Frequency interference positioning: The satellite spectrum data integrated status management software locates the interference carrier source, compares the interference carrier characteristic value with the earth station equipment performance parameters, and locates the interference carrier transmitting earth station. The carrier characteristic value that matches the equipment performance parameters is identified as the interference source.

[0019] Furthermore, in step 204, the satellite spectrum data integrated status management software integrates the spectrum data collected by multiple remote earth stations in the following manner:

[0020] (1) In the case where there is no duplicate information in the spectrum data of the same satellite, beam and transponder, the satellite spectrum data integrated status management software determines that the remote earth station reporting the data is a single data source, and directly selects the spectrum data after the frequency range is legally determined to be correct;

[0021] (2) In the case of duplicate information in the spectrum data of the same satellite, beam and transponder, the satellite spectrum data comprehensive status management software selects data in the following order: minority obeys majority, site credibility sorting, and operator manual selection.

[0022] Furthermore, the central management station execution process also includes:

[0023] 207. Communication status confirmation: The satellite spectrum data integrated status management software performs communication status confirmation by comparing normal carrier characteristic values ​​with earth station equipment performance parameters. If the carrier characteristic values ​​match the corresponding earth station equipment performance parameters, the communication status is considered normal.

[0024] 208. Historical spectrum backtracking: The satellite spectrum data comprehensive status management software uses two methods: timed recording and key node recording to record spectrum data and query historical spectrum data.

[0025] Furthermore, in step 101 and step 201, the satellite spectrum data information includes the satellite, transponder, center frequency, bandwidth and power, and the equipment performance parameter information includes the earth station to which it belongs, equipment type, equipment model, equipment serial number, parameter number, parameter name, parameter type, parameter value and parameter unit.

[0026] Furthermore, in step 202, the satellite communication resource planning information includes satellite number, satellite name, beam number, beam name, transponder number, transponder name, earth stations of both communicating parties, rate, modulation and coding mode, sending frequency, receiving frequency, sending bandwidth, and receiving bandwidth.

[0027] Compared with the prior art, the present invention has the following beneficial effects:

[0028] 1. The present invention uses spectrum monitoring equipment equipped with satellite communication earth stations to obtain local spectrum data. By building a satellite spectrum data management platform, it can collect scattered spectrum data. After data conversion, data cleaning, data fusion, and data analysis, it can splice the complete multi-satellite frequency resource usage status. Combined with the performance parameter information of satellite communication ground equipment within each earth station, communication status confirmation, frequency interference detection and location, and historical spectrum backtracking are carried out to achieve the management of the comprehensive status of multi-satellite spectrum data.

[0029] 2. The present invention can achieve unified management of the usage status of spectrum resources in the entire network in a multi-satellite and multi-transponder satellite communication system, assist satellite communication commanders in centralized control of frequency resources, and provide a strong basis for frequency adjustment or emergency response. BRIEF DESCRIPTION OF THE DRAWINGS

[0030] Figure 1 This is a flowchart of the spectrum data reporting process of a remote earth station in an embodiment of the present invention.

[0031] Figure 2 This is a flow chart of spectrum data fusion at the central management station in an embodiment of the present invention.

[0032] Figure 3 This is a flow chart of the frequency interference positioning process of the central management station in an embodiment of the present invention.

[0033] Figure 4 Schematic diagram of the application scenario of the present invention. DETAILED DESCRIPTION

[0034] The present invention will be further described below with reference to the accompanying drawings.

[0035] This paper proposes an interference identification method based on distributed multi-satellite spectrum data. The method unifies satellite communication spectrum data, satellite communication resource planning information, and equipment performance parameter information into a unified model. After data conversion, data cleaning, data fusion, and data analysis, the method splices the complete multi-satellite frequency resource usage status.

[0036] like Figure 4 As shown, to implement this method, an application scenario for a satellite spectrum data management platform is provided, which includes spectrum monitoring equipment, station management software, and satellite spectrum data comprehensive status management software. The spectrum monitoring equipment and station management software are deployed at remote earth stations, while the satellite spectrum data comprehensive status management software is deployed at a central management station, which maintains a network connection with each remote earth station.

[0037] The purpose of this method is to uniformly manage the spectrum resource usage status of the entire network through satellite spectrum data comprehensive status management software, collect scattered spectrum data, and splice the complete multi-satellite frequency resource usage status through data processing.

[0038] The method is applied to a satellite communication management system composed of a central management station and a remote earth station, including the execution process of the remote earth station and the execution process of the central management station, wherein, Figure 1 As shown, the remote earth station performs the following steps:

[0039] 101. Unified Modeling: Analyze satellite communication spectrum data and equipment performance parameter information to create satellite communication spectrum data and equipment performance parameter information structure;

[0040] 102. Spectrum Data Collection: Remote earth stations must be equipped with spectrum monitoring equipment. Real-time satellite communication spectrum data is collected from the spectrum monitoring equipment through the station management software. Satellite communication spectrum data consists of a set of carrier characteristic values, including center frequency, occupied bandwidth, power value, and other information.

[0041] 103. Spectrum Data Conversion: Based on the remote earth station equipment connection relationship and the deployment location of the spectrum monitoring collection point, the station management software uniformly converts the satellite communication spectrum data into RF uplink values. The equipment connection relationship refers to the connection status of the modem, upconverter, downconverter, power amplifier, low-noise amplifier, and antenna. The spectrum monitoring collection location can be divided into four types: IF uplink, IF downlink, RF uplink, and RF downlink.

[0042] 104. Equipment parameter monitoring: The remote earth station has the ability to monitor satellite communication ground equipment within the station. The station management software collects relevant performance parameter information of equipment such as modems, upconverters, downconverters, power amplifiers, low-noise amplifiers and antennas in real time;

[0043] 105. Data reporting: The station management software regularly reports spectrum data and equipment performance parameter information to the central management station.

[0044] like Figure 2 and 3 As shown, the central management station execution process includes the following steps:

[0045] 201. Unified Modeling: Analyze satellite communication spectrum data, equipment performance parameters and satellite communication resource information, and create satellite communication spectrum data, equipment performance parameters and satellite communication resource information structures;

[0046] 202. Satellite Communication Planning: The central management station conducts satellite communication planning using satellite spectrum data integrated status management software. The planning content includes information such as earth station communication relationships, satellites used for communication, beams, transponders, transmit and receive frequencies, and occupied bandwidth.

[0047] 203. Collecting remote station data: The satellite spectrum data integrated status management software of the central management station receives spectrum data and equipment performance parameter information reported by remote earth stations and stores the data;

[0048] 204. Spectrum Data Fusion: Different earth station antennas point to different satellites. The central management station collects spectrum data from multiple satellites. Spectrum data reported by earth stations pointing to the same satellite is duplicate information. The satellite spectrum data integrated status management software fuses the spectrum data collected by multiple remote earth stations. The specific method is as follows:

[0049] (1) In the case where there is no duplicate information in the spectrum data of the same satellite, beam and transponder, the satellite spectrum data integrated status management software determines that the remote earth station reporting the data is a single data source, and directly selects the spectrum data after the frequency range is legally determined to be correct;

[0050] (2) In the case of duplicate information in spectrum data of the same satellite, beam, and transponder, the satellite spectrum data comprehensive status management software selects data in the following order: minority obeys majority, site credibility sorting, and operator manual selection;

[0051] 205. Frequency interference judgment: The satellite spectrum data integrated status management software performs real-time spectrum detection, compares the carrier characteristic value with the planned transmit and receive frequency, and identifies normal carriers and interfering carriers. Carriers with characteristic values ​​that do not match the planned transmit and receive frequency are identified as interfering carriers.

[0052] 206. Frequency Interference Location: Satellite spectrum data integrated status management software locates the interference carrier source, compares the interference carrier characteristic value with the earth station equipment performance parameters, and locates the interference carrier transmitting earth station. The earth station whose carrier characteristic value matches the equipment performance parameters is identified as the interference source;

[0053] 207. Communication status confirmation: The satellite spectrum data integrated status management software performs communication status confirmation by comparing normal carrier characteristic values ​​with earth station equipment performance parameters. If the carrier characteristic values ​​match the corresponding earth station equipment performance parameters, the communication status is considered normal.

[0054] 208. Historical spectrum backtracking: The satellite spectrum data comprehensive status management software uses two methods: timed recording and key node recording to record spectrum data and query historical spectrum data.

[0055] In summary, the present invention uniformly models spectrum data, collects local spectrum data from each earth station, and converts it from intermediate frequency to radio frequency based on the equipment connection relationship of this station. The converted spectrum data and satellite communication equipment monitoring information are then collected and analyzed, realizing communication status confirmation, frequency interference detection, frequency interference location, and historical spectrum backtracking.

[0056] Finally, it should be noted that the above is only a preferred example of the present invention. Although the present invention has been described in detail with reference to the above embodiments, those skilled in the art can still modify the technical solutions of the aforementioned embodiments or make equivalent substitutions for other technical features. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the scope of protection of the present invention.

Claims

1. A method for identifying interference from multi-satellite spectrum data based on distributed collection, characterized in that: The invention is applied to a satellite communication management system composed of a central management station and a remote earth station, including a remote earth station execution process and a central management station execution process, wherein the remote earth station execution process includes the following steps:

101. Unified Modeling: Analyze satellite communication spectrum data and equipment performance parameter information to create satellite communication spectrum data and equipment performance parameter information structure; 102. Spectrum Data Collection: Remote earth stations are equipped with spectrum monitoring equipment. Real-time satellite communication spectrum data is collected from the spectrum monitoring equipment through station management software. Satellite communication spectrum data consists of a set of carrier characteristic values, including center frequency, occupied bandwidth, and power value information.

103. Spectrum Data Conversion: Based on the remote earth station's equipment connections and the deployment locations of spectrum monitoring and collection points, the station management software uniformly converts satellite communication spectrum data into RF uplink values. Equipment connections refer to the connections between the modem, upconverter, downconverter, power amplifier, low-noise amplifier, and antenna. Spectrum monitoring and collection locations are divided into four types: IF uplink, IF downlink, RF uplink, and RF downlink.

104. Equipment parameter monitoring: The remote earth station has the ability to monitor satellite communication ground equipment within the station. The station management software collects relevant performance parameter information of modems, upconverters, downconverters, power amplifiers, low-noise amplifiers, and antenna equipment in real time; 105. Data reporting: The station management software regularly reports spectrum data and equipment performance parameter information to the central management station; The central management station execution process includes the following steps:

201. Unified Modeling: Analyze satellite communication spectrum data, equipment performance parameters and satellite communication resource information, and create satellite communication spectrum data, equipment performance parameters and satellite communication resource information structures; 202. Satellite Communication Planning: The central management station conducts satellite communication planning using satellite spectrum data integrated status management software. The planning content includes information on earth station communication relationships, satellites used for communication, beams, transponders, transmit and receive frequencies, and occupied bandwidth.

203. Collecting remote station data: The satellite spectrum data integrated status management software of the central management station receives spectrum data and equipment performance parameter information reported by remote earth stations and stores the data; 204. Spectrum data fusion: Different earth station antennas point to different satellites. The central management station collects spectrum data from multiple satellites. The spectrum data reported by earth stations pointing to the same satellite is duplicate information. The satellite spectrum data comprehensive status management software fuses the spectrum data collected by multiple remote earth stations.

205. Frequency interference judgment: The satellite spectrum data integrated status management software performs real-time spectrum detection, compares the carrier characteristic value with the planned transmit and receive frequency, and identifies normal carriers and interfering carriers. Carriers with characteristic values ​​that do not match the planned transmit and receive frequency are identified as interfering carriers.

206. Frequency interference positioning: The satellite spectrum data integrated status management software locates the interference carrier source, compares the interference carrier characteristic value with the earth station equipment performance parameters, and locates the interference carrier transmitting earth station. The carrier characteristic value that matches the equipment performance parameters is identified as the interference source.

2. The method for identifying interference of multi-satellite spectrum data based on distributed collection according to claim 1, characterized in that: In step 204, the satellite spectrum data integrated status management software integrates the spectrum data collected by multiple remote earth stations in the following manner: (1) In the case where there is no duplicate information in the spectrum data of the same satellite, beam and transponder, the satellite spectrum data integrated status management software determines that the remote earth station reporting the data is a single data source, and directly selects the spectrum data after the frequency range is legally determined to be correct; (2) In the case of duplicate information in the spectrum data of the same satellite, beam and transponder, the satellite spectrum data comprehensive status management software selects data in the following order: minority obeys majority, site credibility sorting, and operator manual selection.

3. The method for identifying interference of multi-satellite spectrum data based on distributed collection according to claim 1, characterized in that: The central management station execution process also includes:

207. Communication status confirmation: The satellite spectrum data integrated status management software performs communication status confirmation by comparing normal carrier characteristic values ​​with earth station equipment performance parameters. If the carrier characteristic values ​​match the corresponding earth station equipment performance parameters, the communication status is considered normal.

208. Historical spectrum backtracking: The satellite spectrum data comprehensive status management software uses two methods: timed recording and key node recording to record spectrum data and query historical spectrum data.

4. The method for identifying interference of multi-satellite spectrum data based on distributed collection according to claim 1, characterized in that: In step 101 and step 201, the satellite spectrum data information includes the satellite, transponder, center frequency, bandwidth and power, and the equipment performance parameter information includes the earth station to which it belongs, equipment type, equipment model, equipment serial number, parameter number, parameter name, parameter type, parameter value and parameter unit.

5. The method for identifying interference of multi-satellite spectrum data based on distributed collection according to claim 1, characterized in that: In step 202, the satellite communication resource planning information includes satellite number, satellite name, beam number, beam name, transponder number, transponder name, earth stations of both communicating parties, rate, modulation and coding mode, transmission frequency, reception frequency, transmission bandwidth, and reception bandwidth.

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