Mobile communication interference source positioning searching and positioning method based on unmanned aerial vehicle

Abstract

The invention discloses a mobile communication interference source positioning searching and positioning method based on an unmanned aerial vehicle, and the method employs an unmanned aerial vehicle carrying platform which carries an unmanned aerial vehicle with a light spectrum analyzer, a directional antenna, a microcomputer and a communication module, the light spectrum analyzer is used for collecting spectrum data in the air, and the directional antenna is used for receiving the spectrum data. The directional antenna is used for enhancing the directivity of signal receiving, the microcomputer is used for local data storage and preliminary analysis, and the communication module is used for real-time data transmission with a cloud end. The method combines an unmanned aerial vehicle technology, a spectrum analysis technology, an edge computing technology and an advanced interference positioning algorithm, and aims at solving the problems that interference sources in a current communication network environment are difficult to check, low in efficiency and high in cost.

Description

Technical Field

[0001] The invention relates to a mobile communication interference source positioning search and positioning method based on an unmanned aerial vehicle. Background Art

[0002] With the rapid development of wireless communication networks, various interference sources have posed a serious threat to the stable operation of communication networks. Due to the complex wireless environment of communication networks, traditional manual interference troubleshooting methods are difficult to locate, inefficient and costly, and have become a problem that telecom operators are eager to solve. Every year, operators need to invest a lot of manpower and material resources to troubleshoot and remove these interference sources. Summary of the invention

[0003] The purpose of the present invention is to propose a method for locating, searching and locating mobile communication interference sources based on drones, aiming to solve the problems of difficulty, low efficiency and high cost in troubleshooting interference sources in the current communication network environment.

[0004] The technical solution of the present invention is as follows:

[0005] A method for positioning, searching and locating a mobile communication interference source based on a drone, using a drone-mounted platform that carries a lightweight spectrum analyzer, a directional antenna, a microcomputer and a communication module, wherein the lightweight spectrum analyzer is used to collect spectrum data in the air, the directional antenna is used to enhance the directionality of signal reception, the microcomputer performs local data storage and preliminary analysis, and the communication module is used for real-time data transmission with the cloud;

[0006] Interference source location search and location methods include:

[0007] A flight route of the UAV is preset around the interfered base station. According to the preset flight route and flight parameters, the UAV automatically performs the traversal flight mission. During the flight, the light spectrum analyzer performs a clockwise sweep of 180° to 360° in a continuous manner per second to collect interference data of different directions and intensities.

[0008] The collected interference data is stored in the microcomputer, and the interference data is preliminarily analyzed by the software built into the microcomputer, including identification, classification and strength evaluation of interference signals;

[0009] The interference data after preliminary analysis is uploaded to the cloud through the communication module. The cloud combines the uploaded data with the geographic information system to locate the interference source and perform geographic rendering of the interference cloud map to intuitively display the distribution and intensity of the interference source.

[0010] The method of the present invention combines drone technology, spectrum analysis technology, edge computing technology and interference positioning algorithm, which can comprehensively improve the efficiency, quality and economic benefits of interference detection, provide strong guarantee for the stable operation of communication networks, and promote the application and development of drone technology in the low-altitude economic field.

[0011] The method for locating the interference source position of the present invention is as follows:

[0012] Through preliminary scanning data, the approximate location of the interference source is determined using the two-point positioning method: the UAV-mounted platform performs fixed-point scanning at two UAV scanning points. During the fixed-point scanning, the UAV rotates in place to perform clockwise angle scanning, and the interference data peak of the light spectrum analyzer at each angle direction at the current UAV scanning point is recorded. The azimuth angle direction of the highest peak of the interference data at the current UAV scanning point is obtained, and the intersection of the azimuth angle directions of the highest peak of the interference data at the two UAV scanning points is obtained. A circle drawn with the intersection as the center is the approximate location of the interference source;

[0013] The UAV observes the approximate position of the interference source from three or more positions, that is, performs the fixed-point scanning at three or more UAV scanning points, and determines the exact position of the interference source based on the triangulation positioning principle.

[0014] The positioning method of the present invention can implement large-scale inspection of interference areas, rough positioning by two-point positioning method, precise positioning by three or more points and close measurement verification, which can ensure the effective identification and processing of interference sources in different scene constructions and at different heights.

[0015] When the drone of the present invention performs fixed-point scanning, the azimuth angle of each rotation change is ≤5°.

[0016] The cloud of the present invention automatically calculates the intersection of the highest peak angle direction of interference data at two drone scanning points according to the longitude and latitude of the drone scanning point during fixed-point scanning and the azimuth angle direction of the highest peak angle of interference data, thereby improving positioning efficiency.

[0017] As a preferred embodiment of the present invention, when determining the approximate position of the interference source, a circle with a radius of 10 m and the intersection as the center is used as the approximate position of the interference source.

[0018] The UAV-mounted platform of the present invention also performs thermal map scanning through sensors, obtains thermal map data and intuitively displays the distribution of interference signal intensity with a color gradient, so as to quickly identify areas where interference sources may exist.

[0019] The UAV-mounted platform of the present invention also collects field environment images through a camera, and verifies the specific location of the interference source in combination with the thermal map data.

[0020] Compared with the prior art, the present invention has the following beneficial effects:

[0021] 1. Significantly improve the troubleshooting efficiency, reduce at least 60% of the property coordination time, and reduce the number of upstairs tests within the interference range by more than 50%. It also has the ability to detect multiple interference sources in one flight, greatly shortening the interference troubleshooting cycle.

[0022] 2. It can carry out large-scale inspection of interference areas and provide auxiliary indication of the location of interference sources. Through precise positioning and close-up measurement verification, it ensures the effective identification and processing of interference sources in different scene constructions and at different heights.

[0023] 3. Relying on the advantages of the cloud platform, the cloud map of the interference profile is intuitively displayed to assist in quickly locating the interference source. At the same time, a periodic regional interference database is established to support front-end and back-end collaborative analysis and positioning, further improving the intelligence level of the investigation work. In terms of economic benefits, by using heat maps and field environmental data to assist in interference positioning, it is expected that the cost of interference source investigation and positioning in a single interference cell can be reduced by 1,500 yuan, a decrease of 18%, saving a lot of costs for telecom operators. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] Figure 1 It is a framework diagram of a mobile communication interference source location search and positioning system based on a drone in an embodiment;

[0025] Figure 2 It is a working principle diagram of a method for positioning, searching and locating a mobile communication interference source based on a drone in an embodiment;

[0026] Figure 3 It is a flow chart of a method for positioning, searching and locating a mobile communication interference source based on a drone in an embodiment;

[0027] Figure 4 It is a schematic diagram of the principle of the two-point positioning method in the embodiment;

[0028] Figure 5 Schematic diagram of the calculation principle of the two-point positioning method in the embodiment. DETAILED DESCRIPTION

[0029] In order to make the purpose, technical scheme and advantages of the present invention more obvious, the exemplary embodiments according to the present invention will be described in detail with reference to the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all the embodiments of the present invention, and it should be understood that the present invention is not limited to the exemplary embodiments described herein. Based on the embodiments of the present invention described in the present invention, all other embodiments obtained by those skilled in the art without creative work should fall within the protection scope of the present invention.

[0030] In the following description, a large number of specific details are provided to provide a more thorough understanding of the present invention. However, it is apparent to those skilled in the art that the present invention can be implemented without one or more of these details. In other examples, in order to avoid confusion with the present invention, some technical features well known in the art are not described.

[0031] It should be understood that the present invention can be implemented in different forms and should not be interpreted as limited to the embodiments set forth herein. On the contrary, these embodiments are provided to make the disclosure thorough and complete and to fully convey the scope of the present invention to those skilled in the art.

[0032] The purpose of the terms used herein is only to describe specific embodiments and is not intended to be limiting of the present invention. When used herein, the singular forms "one", "an" and "said / the" are also intended to include plural forms, unless the context clearly indicates otherwise. It should also be understood that the terms "consisting of" and / or "comprising", when used in this specification, determine the presence of the features, integers, steps, operations, elements and / or parts, but do not exclude the presence or addition of one or more other features, integers, steps, operations, elements, parts and / or groups. When used herein, the term "and / or" includes any and all combinations of the relevant listed items.

[0033] In order to fully understand the present invention, a detailed structure will be proposed in the following description to illustrate the technical solution proposed by the present invention. The optional embodiments of the present invention are described in detail as follows, but in addition to these detailed descriptions, the present invention may also have other implementations.

[0034] A method for positioning, searching and locating a mobile communication interference source based on a drone, using a drone-mounted platform that carries a lightweight spectrum analyzer, a directional antenna, a microcomputer and a communication module, wherein the lightweight spectrum analyzer is used to collect spectrum data in the air, the directional antenna is used to enhance the directionality of signal reception, the microcomputer performs local data storage and preliminary analysis, and the communication module is used for real-time data transmission with the cloud;

[0035] Interference source location search and location methods include:

[0036] A flight route of the UAV is preset around the interfered base station. According to the preset flight route and flight parameters, the UAV automatically performs the traversal flight mission. During the flight, the light spectrum analyzer performs a clockwise sweep of 180° to 360° in a continuous manner per second to collect interference data of different directions and intensities.

[0037] The collected interference data is stored in the microcomputer, and the interference data is preliminarily analyzed by the software built into the microcomputer, including identification, classification and strength evaluation of interference signals;

[0038] The interference data after preliminary analysis is uploaded to the cloud through the communication module. The cloud combines the uploaded data with the geographic information system to locate the interference source and perform geographic rendering of the interference cloud map to intuitively display the distribution and intensity of the interference source.

[0039] The method of the present invention combines drone technology, spectrum analysis technology, edge computing technology and interference positioning algorithm, which can comprehensively improve the efficiency, quality and economic benefits of interference detection, provide strong guarantee for the stable operation of communication networks, and promote the application and development of drone technology in the low-altitude economic field.

[0040] like Figure 1 As shown, in one embodiment, a mobile communication interference source location search and positioning system based on a drone includes:

[0041] 1. The UAV carrying platform (referred to as the carrying platform) consists of the UAV platform and the camera gimbal, which is responsible for aerial movement and shooting. The gimbal adjusts the camera angle, assists in locating interference sources, and combines with the positioning algorithm to improve search efficiency.

[0042] 2. The sensing system consists of a small camera, a spectrum analyzer, a signal tester, and a transmission module, which is used to collect spectrum and signal data. The spectrum analyzer and signal tester monitor and analyze signals, and the transmission module sends data to the ground. The data is the basis of the two-point and three-point positioning algorithms.

[0043] 3. The flight control system, which consists of an onboard GPS, barometer, magnetic compass and altimeter, ensures the drone's stable flight. GPS provides location information, and other sensors maintain flight stability. Location data is critical to the positioning algorithm to ensure positioning accuracy.

[0044] 4. Ground monitoring, which consists of a flight controller, spectrum and signal monitoring terminals and a real-time data transmission module, is used to receive and analyze sensor data. The flight controller controls the drone, and the monitoring terminal displays the spectrum and signal conditions. Real-time data transmission supports the real-time operation of the positioning algorithm.

[0045] 5. Supporting software, consisting of spectrum scanning analysis software, signal test analysis software, interference geographic analysis software and monitoring software, is used to process and analyze data. The spectrum scanning analysis software identifies abnormal signals, the signal test analysis software measures signal parameters, the interference geographic analysis software combines algorithms to determine the location of interference sources, and the monitoring software ensures stable operation of the system.

[0046] In one embodiment, the method for locating the interference source is as follows:

[0047] Through preliminary scanning data, the approximate location of the interference source is determined using the two-point positioning method: the UAV-mounted platform performs fixed-point scanning at two UAV scanning points. During the fixed-point scanning, the UAV rotates in place to perform clockwise angle scanning, and the interference data peak of the light spectrum analyzer at each angle direction at the current UAV scanning point is recorded. The azimuth angle direction of the highest peak of the interference data at the current UAV scanning point is obtained, and the intersection of the azimuth angle directions of the highest peak of the interference data at the two UAV scanning points is obtained. A circle drawn with the intersection as the center is the approximate location of the interference source;

[0048] The UAV observes the approximate position of the interference source from three or more positions, that is, performs the fixed-point scanning at three or more UAV scanning points, and determines the exact position of the interference source based on the triangulation positioning principle.

[0049] The positioning method of the present invention can implement large-scale inspection of interference areas, rough positioning by two-point positioning method, precise positioning by three or more points and close measurement verification, which can ensure the effective identification and processing of interference sources in different scene constructions and at different heights.

[0050] Specifically, in practical applications, Figure 2 As shown in the figure, after the interference is found, the drone carries out a flight search with hardware. First, data is collected using a light spectrum analyzer, GPS, magnetic compass and other equipment. The drone carries a platform to perform fixed-point scanning to obtain interference source data. Subsequently, the two-point positioning method is used to preliminarily solve the suspected location of the interference source based on the scanning data and peak angle of the two location points. The three-point (multi-point) positioning algorithm is further applied to combine the observation data of more location points to determine the exact location of the interference source through triangulation. In the data analysis stage, the scanning data is deeply processed and calculated to verify and optimize the positioning results. Finally, the location of the interference source is confirmed, the demolition task is generated, and the entire search and positioning process is completed.

[0051] The drone-mounted platform also uses sensors to perform thermal map scanning, obtains thermal map data, and intuitively displays the distribution of interference signal strength in a color gradient to quickly identify areas where interference sources may exist. The camera collects images of the actual environment and combines them with the thermal map data to verify the specific location of the interference source. The thermal map data and the actual environment image are used to fine-tune the specific location of the interference source to ensure positioning accuracy.

[0052] like Figure 3 As shown in the figure, the process of selecting the positioning scanning point when the drone performs a flight mission is as follows:

[0053] The drone first starts a fixed-point scan to obtain the precise configuration parameters of the current location, including key information such as longitude, latitude, and azimuth. Subsequently, the system will check whether the azimuth of the current scan needs to be adjusted. If the azimuth changes by more than 5°, it will make corresponding adjustments. Next, the drone turns on the reading function of the read-write module, reads the sampling point value from the Sampling table of the database, and records the start time and azimuth change time. These data are then written to the SweepPoint table of the database, including longitude, latitude, azimuth, sampling point value, and azimuth change time. The system saves the scan points in a list in units of azimuth change time, completing a comprehensive scan and data recording of the current fixed point.

[0054] Then perform a multi-point scan to determine the source of interference using a multi-point positioning algorithm:

[0055] Through preliminary scanning data, the two-point positioning method is used to determine the approximate location range of the interference source, and it is marked on the map with a translucent circle. Then, based on the preliminary determined approximate location, the drone uses a three-point (multi-point) positioning algorithm to perform precise calculations based on the reasonable distribution of the distance and angle between the scanning points. Ensure that the selected scanning points can fully cover the suspected interference source area. The drone flies to the selected multiple scanning points in turn, performs positioning scanning, collects scanning data and peak angle information, processes the data through a multi-point positioning algorithm, and finally determines the exact location of the interference source.

[0056] Among them, the azimuth angle of each rotation of the drone during fixed-point scanning is ≤5°, so as to improve the efficiency of interference source detection and ensure positioning accuracy.

[0057] In the present invention, the cloud automatically calculates the intersection of the highest peak angle direction of interference data at two drone scanning points according to the longitude and latitude of the drone scanning point during fixed-point scanning and the azimuth angle direction of the highest peak angle of the interference data, thereby improving positioning efficiency.

[0058] The interference positioning ideas that can be adopted by the present invention are as follows: Figure 4 As shown:

[0059] The drone flies to more than two points and performs a continuous clockwise angle sweep of 180° to 360° per second. The software automatically calculates a suspected interference range based on the angles and interference values ​​of multiple points, which is represented by a translucent circle.

[0060] The data is displayed in a separate interference positioning function, and a small window is used to display the dynamic spectrum function, that is, it is necessary to be in the same interface. During the positioning process, the UAV flies to the specified position and starts to rotate and scan. The task is started by a "fixed-point scan" button. Before each scan, a pop-up box is required to enter the location area of ​​the scan, which is stored as the task name. After the name is entered, the data begins to be stored, and the synchronized UAV rotates 180° to 360° on the spot. During the scanning process, a radar group is automatically generated in a corner of the interface based on the collected data in different directions and intensity data to display the intensity changes in each direction. After a scan, the software automatically generates a vector coordinate, that is, the geographic positioning is displayed on the online map with a dotted arrow with longitude, latitude and direction angle.

[0061] After scanning more than two points, click the calculation software to find the target range according to the algorithm and display it on the map. The calculation of interference sources supports display on the basis of online and offline maps, and the data after longitude and latitude conversion also needs to be stored in the database. It is required to provide management functions for scanning points and interference points, generate scanning point lists and interference source lists, and can delete and export, manually calibrate data, display radar maps and other functions.

[0062] The specific algorithm for geographical positioning of key interference sources is as follows:

[0063] Two-point positioning method for UAV interference parking search:

[0064] The software records each angle of the scanning point and the peak value of the spectrum analyzer, and finally obtains the angle of the highest peak at two points. The following equation is solved by combining the longitude and latitude with the angle algorithm.

[0065] like Figure 5 As shown, the longitude and latitude of the drone scanning point 1 are recorded as: (x1, y1), the longitude and latitude of the drone scanning point 2 are recorded as: (x2, y2), the azimuth of the highest peak value of the interference data at the drone scanning point 1 is recorded as α, the azimuth of the highest peak value of the interference data at the drone scanning point 2 is recorded as β, and the intersection of the azimuth angle directions of the highest peak values ​​of the interference data at the two drone scanning points is recorded as (x, y), then

[0066]

[0067] Solve the equation to obtain the target latitude and longitude (x, y), and display it as a dot in the image. Draw a semi-transparent circle with a radius of 10m at the point, which is the approximate location of the interference source.

[0068] The theoretical basis of the UAV three-point (multi-point) positioning algorithm is mainly based on the principle of triangulation positioning. It can accurately locate the interference source by determining the position of the UAV, observing the target, recording the observation information, and performing triangulation calculations. At the same time, the positioning accuracy and real-time performance can be further improved by increasing the number of observation points and optimizing the algorithm.

[0069] Three-point positioning principle:

[0070] Determine the observer's location: In practical applications, this is usually done by determining the precise location coordinates of the drone through GPS or other position measurement technology.

[0071] Observation target: The drone observes the target, i.e. the interference source, from three (or more) known locations. These locations should be carefully selected to ensure the difference in observation angles, thereby improving positioning accuracy.

[0072] Record observation information: At each observation location, the drone needs to record the angle or direction information of the target interference source relative to its position. This information can be horizontal angle, azimuth angle, etc., for subsequent triangulation calculations.

[0073] Perform triangulation calculations: Using triangulation methods, such as triangulation, triangulation centroid, etc., the exact location coordinates of the interference source can be calculated based on the position of the drone and the observed target angle information.

[0074] Further expansion of the three-point positioning method:

[0075] Add observation points: On the basis of three-point positioning, the positioning accuracy can be improved by adding observation points (i.e. the scanning points of the drone for fixed-point scanning). Multi-point positioning can use more observation data for calculation, thereby reducing errors.

[0076] Optimization algorithm: As the number of observation points increases, more complex algorithms are needed to process these data. For example, weighted least squares method can be used to optimize the positioning results.

[0077] Real-time update and adjustment: During the flight of the drone, the observation data can be updated in real time, and the positioning calculation can be performed based on the new data. This dynamic adjustment can improve the real-time and accuracy of positioning.

[0078] The above are only specific embodiments of the present invention, but the protection scope of the present invention is not limited thereto. Any technician familiar with the technical field can easily think of various equivalent modifications or replacements within the technical scope disclosed by the present invention, and these modifications or replacements should be included in the protection scope of the present invention. Therefore, the protection scope of the present invention shall be based on the protection scope of the claims.

Claims

1. A method for locating, searching and positioning a mobile communication interference source based on an unmanned aerial vehicle, characterized in that: A drone-mounted platform is used, which is equipped with a lightweight spectrum analyzer, a directional antenna, a microcomputer and a communication module, wherein the lightweight spectrum analyzer is used to collect spectrum data in the air, the directional antenna is used to enhance the directionality of signal reception, the microcomputer performs local data storage and preliminary analysis, and the communication module is used for real-time data transmission with the cloud; Interference source location search and location methods include: A flight route of the UAV is preset around the interfered base station. According to the preset flight route and flight parameters, the UAV automatically performs the traversal flight mission. During the flight, the light spectrum analyzer performs a clockwise sweep of 180° to 360° in a continuous manner per second to collect interference data of different directions and intensities. The collected interference data is stored in the microcomputer, and the interference data is preliminarily analyzed by the software built into the microcomputer, including identification, classification and strength evaluation of interference signals; The interference data after preliminary analysis is uploaded to the cloud through the communication module. The cloud combines the uploaded data with the geographic information system to locate the interference source and perform geographic rendering of the interference cloud map to intuitively display the distribution and intensity of the interference source.

2. The method for locating, searching and locating a mobile communication interference source based on a drone according to claim 1, characterized in that: The method for locating the interference source is as follows: Through preliminary scanning data, the approximate location of the interference source is determined using the two-point positioning method: the UAV-mounted platform performs fixed-point scanning at two UAV scanning points. During the fixed-point scanning, the UAV rotates in place to perform clockwise angle scanning, and the interference data peak of the light spectrum analyzer at each angle direction at the current UAV scanning point is recorded. The azimuth angle of the highest peak of the interference data at the current UAV scanning point is obtained, and the intersection of the azimuth angle directions of the highest peak of the interference data at the two UAV scanning points is obtained. A circle drawn with the intersection as the center is the approximate location of the interference source; The UAV observes the approximate position of the interference source from three or more positions, that is, performs the fixed-point scanning at three or more UAV scanning points, and determines the exact position of the interference source based on the triangulation positioning principle.

3. The method for locating, searching and locating a mobile communication interference source based on an unmanned aerial vehicle according to claim 2, characterized in that: When the drone performs fixed-point scanning, the azimuth angle changes by ≤5° each time it rotates.

4. The method for locating, searching and locating a mobile communication interference source based on an unmanned aerial vehicle according to claim 2, characterized in that: The cloud automatically calculates the intersection of the azimuth angle direction of the highest peak value of the interference data at two drone scanning points according to the longitude and latitude of the drone scanning point during fixed-point scanning and the azimuth angle direction of the highest peak value of the interference data.

5. The method for positioning, searching and locating a mobile communication interference source based on an unmanned aerial vehicle according to claim 4, characterized in that: When determining the approximate location of the interference source, a circle with a radius of 10 m and the intersection as the center is used as the approximate location of the interference source.

6. The method for positioning, searching and locating a mobile communication interference source based on a drone according to any one of claims 1 to 5, characterized in that: The UAV-mounted platform also performs thermal map scanning through sensors, obtains thermal map data and visually displays the distribution of interference signal intensity with a color gradient, so as to quickly identify areas where interference sources may exist.

7. The method for positioning, searching and locating a mobile communication interference source based on an unmanned aerial vehicle according to claim 6, characterized in that: The UAV-mounted platform also collects images of the actual environment through a camera and combines the images with the thermal map data to verify the specific location of the interference source.

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