CN112770349A - Intelligent monitoring analysis platform based on 5G wireless spectrum - Google Patents
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Abstract
The invention provides an intelligent monitoring and analyzing platform based on a 5G wireless spectrum, which comprises: the 5G frequency band antenna receives radio signals of the frequency band from the air; the 5G wireless signal intelligent monitoring terminal is used for filtering, amplifying and carrying out frequency conversion processing on signals received by the 5G frequency band antenna, and then carrying out digital acquisition and spectrum analysis; the 5G frequency band signal spectrum analysis platform comprises a server, a database and the like, and is used for sending collected time domain and frequency domain data to a computer platform for analysis and display and distributing and sharing the analyzed situation data. The platform is based on a multi-core heterogeneous processor, a miniaturized low-power-consumption edge computing platform is constructed, the framework of an artificial intelligence algorithm and the framework of an intelligent signal identification algorithm are realized, the intercepted signal frequency spectrum can be processed quickly in real time, and more timely warning is provided for users; by means of the hardware design and software control collaborative optimization direction finding technology, direction finding speed is higher and accuracy is higher on the basis of reducing calculation complexity.
Description
Technical Field
The invention relates to the field of communication, in particular to an intelligent monitoring and analyzing platform based on a 5G wireless spectrum.
Background
With the rapid development of the 5G technology and the strong promotion of the 5G + strategy by the country, the innovative application of the 5G technology in various scenes such as 5G + automatic driving is increasing day by day. In these application scenarios, the requirement on the reliability of 5G signal transmission is very high, and when the 5G signal is subjected to external electromagnetic interference, the 5G signal may form a safety hazard for vehicles, wireless facilities and related personnel, thereby causing significant social impact and economic loss. Therefore, radio security management puts higher and more stringent requirements on the 5G band, and the investigation of the 5G band interference must be faster and more timely to improve the reliability and effectiveness of the 5G signal. Therefore, the development of an intelligent monitoring and analyzing platform based on the 5G wireless spectrum is an urgent problem to be solved.
Disclosure of Invention
In view of this, the present invention is directed to provide an intelligent monitoring and analyzing platform based on 5G wireless spectrum, which incorporates an artificial intelligence algorithm and an edge calculation technique through a wireless monitoring technique, so as to improve the efficiency and the intelligence level of monitoring the 5G wireless spectrum, and ensure the reliability and the safety of the application of the 5G technology in various special fields.
In order to solve the technical problems, the invention adopts the technical scheme that:
an intelligent monitoring analysis platform based on 5G wireless spectrum, comprising:
the 5G frequency band antenna receives radio signals of the frequency band from the air;
the 5G wireless signal intelligent monitoring terminal is used for filtering, amplifying and carrying out frequency conversion processing on signals received by the 5G frequency band antenna, and then carrying out digital acquisition and spectrum analysis;
the 5G frequency band signal spectrum analysis platform comprises a server, a database, a spectrum analysis service module, a situation data distribution sharing module and a situation data display module, transmits the collected time domain and frequency domain data to a computer platform for analysis and display, and distributes and shares the analyzed situation data.
Further, the 5G frequency band signal spectrum analysis platform shares the analyzed situation data to a radio management committee, a mobile network operator, a network optimization service provider, a professional network operator, and the like.
Furthermore, the monitoring direction-finding system of the 5G wireless signal intelligent monitoring terminal receives radio signals of the target radiation source at different preset positions in the air, sends direction-finding positioning data to the ground remote control monitoring direction-finding platform, and obtains the specific geographical position of the target radiation source through a rendezvous positioning algorithm and error analysis.
Furthermore, the 5G wireless signal intelligent monitoring terminal adopts a single-node direction-finding algorithm and a multi-node intersection positioning algorithm to realize the direction-finding positioning of the 5G communication signals and the interference signals, and displays the situation on a map.
Furthermore, the 5G wireless signal intelligent monitoring terminal adopts multi-node wireless monitoring and relies on a time difference method direction finding positioning method to quickly find the direction of illegal signals which are not in a warehouse.
Furthermore, the 5G frequency band signal spectrum analysis platform is based on a multi-core heterogeneous processor, an edge computing service and artificial intelligence processing algorithm framework are built on the platform, the intercepted signal spectrum can be processed quickly in real time, more timely warning is provided for users, and a platform is provided for intelligent identification of 5G signals. And identifying the types of the interference signal and the normal communication signal by adopting a neural network algorithm, and carrying out statistical analysis on the quality of the communication signal.
Furthermore, a software radio module with high sensitivity and low noise coefficient is selected for the 5G frequency band signal spectrum analysis platform, a processing algorithm of radio signal characteristic analysis and identification demodulation processes is optimized, a high-speed digital signal processing module and an artificial intelligence algorithm are adopted to timely acquire and process signals, and the information transmission central station after processing and analysis is subjected to upper-layer processing analysis and display according to system requirements.
Further, the content to be analyzed and identified in the 5G frequency band signal spectrum analysis platform mainly includes: signal type identification, including technical parameters of conventional and special radio signals, multiplexed signals, etc.; the technical performance identification of the monitored radio equipment comprises the system, the technical performance, the characteristics, the new technical application condition and the like of the radio equipment; the monitored communication station network identification includes the number, composition, geographical distribution, application properties, etc. of the communication station networks.
Furthermore, the 5G wireless signal intelligent monitoring terminal adopts an advanced multi-station positioning algorithm, a positioning fuzzy area is reduced as much as possible, a position error analysis algorithm is operated in the positioning fuzzy area according to a specific positioning system, a more complex least square weighting recursive estimation algorithm is used in a matching mode, and the positioning accuracy can be further improved on the original basis.
Compared with the prior art, the intelligent monitoring and analyzing platform based on the 5G wireless spectrum has the following advantages: fast scanning and spectrum monitoring of 5G frequency band signals are researched based on a frequency agility zero intermediate frequency receiving technology to form 5G wireless spectrum receiving equipment; based on the multi-core heterogeneous processor, a miniaturized low-power-consumption edge computing platform is constructed, the framework of an artificial intelligence algorithm and the framework of an intelligent signal identification algorithm are realized, the monitored signal frequency spectrum can be rapidly processed in real time, and more timely warning is provided for users.
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The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate an embodiment of the invention and, together with the description, serve to explain the invention and not to limit the invention. In the drawings:
fig. 1 is a schematic diagram of the present invention.
Detailed Description
It should be noted that the embodiments and features of the embodiments may be combined with each other without conflict.
In the description of the present invention, it is to be understood that the terms "center", "longitudinal", "lateral", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", and the like, indicate orientations or positional relationships based on those shown in the drawings, and are used only for convenience in describing the present invention and for simplicity in description, and do not indicate or imply that the referenced devices or elements must have a particular orientation, be constructed and operated in a particular orientation, and thus, are not to be construed as limiting the present invention. Furthermore, the terms "first", "second", etc. are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first," "second," etc. may explicitly or implicitly include one or more of that feature. In the description of the present invention, "a plurality" means two or more unless otherwise specified.
In the description of the present invention, it should be noted that, unless otherwise explicitly specified or limited, the terms "mounted," "connected," and "connected" are to be construed broadly, e.g., as meaning either a fixed connection, a removable connection, or an integral connection; can be mechanically or electrically connected; they may be connected directly or indirectly through intervening media, or they may be interconnected between two elements. The specific meaning of the above terms in the present invention can be understood by those of ordinary skill in the art through specific situations.
The present invention will be described in detail below with reference to the embodiments with reference to the attached drawings.
As shown in fig. 1, an intelligent monitoring and analyzing platform based on a 5G wireless spectrum includes a 5G frequency band antenna, a 5G wireless signal intelligent monitoring terminal, and a 5G frequency band signal spectrum analyzing platform.
(1) And the 5G frequency band antenna receives radio signals of the frequency band from the air. The frequency band of the 5G signal is wide, and the MIMO technology and the carrier aggregation technology are adopted at the same time, so that the key point is that all 5G frequency bands can be rapidly scanned and monitored. The invention adopts the frequency agility zero intermediate frequency technology and combines the low-noise radio frequency front end to realize the rapid scanning of the 5G signal broadband signal. The scanning speed can reach 10 GHz/s;
(2) the 5G wireless signal intelligent monitoring terminal carries out filtering, amplification and frequency conversion processing on signals received by the antenna, and then carries out digital acquisition and spectrum analysis. The direction finding of the signal emitted from an unknown position is one of the important functions of the system, and different direction finding methods can be formed by extracting different types of radio electromagnetic wave parameters capable of reflecting the incoming wave direction characteristics of the target. The time difference method has high direction finding precision, quick positioning and low time synchronization requirement, and meets the direction finding requirement of the system. The time difference method needs to consider the following key technologies in an important way: firstly, selecting a proper TDOA measuring method; secondly, paying attention to the problems of non-line-of-sight error identification and inhibition, selecting a proper error elimination algorithm according to the actual situation, and simulating and testing the algorithm; and thirdly, under different actual conditions, the specific TDOA algorithms are different in precision and have greater difference in complexity, and a proper TDOA algorithm needs to be selected according to the precision and complexity requirements, so that the method has the capability of obtaining higher direction-finding precision with the lowest calculation complexity under a certain condition, and has good reliability and robustness.
And (4) rendezvous and positioning technology. In order to more accurately and comprehensively acquire the position of a detected radiation source, the positioning of a target radiation source (table net) is a very critical link. The monitoring direction-finding system receives radio signals of the target radiation source at different preset positions in the air, sends direction-finding positioning data to the ground remote control monitoring direction-finding platform, and obtains the specific geographical position of the target radiation source through a rendezvous positioning algorithm and error analysis. The key problem to be solved here is to comprehensively consider the transmission band to be positioned, the cost requirements of equipment and antennas, the positioning accuracy and speed requirements, and the like, and select a proper number of the intersection stations, a positioning system, a positioning algorithm and an error analysis method to obtain higher positioning accuracy meeting an error range.
The antenna for direction finding and positioning is a special receiving antenna for reflecting the incoming wave azimuth information of a target signal, the antenna is required to have good directional characteristics and stable performance, the monitoring environment and climate conditions in the air are different from those on the ground, and the antenna can change greatly in a short time and is not sensitive to the changes; the antenna has high sensitivity, high gain, small noise coefficient and low insertion loss so as to be capable of normally measuring the direction of a weak signal; finally, the aerial direction finding positioning has other multiple aspects on the engineering requirements of the antenna, such as small volume, light weight, convenient installation, reasonable structure and the like. Therefore, the position arrangement, size, array error, array element complex gain, coupling effect and the like of the direction-finding antenna need to be deeply analyzed and completely designed according to the frequency band of direction-finding positioning, the required sensitivity and other engineering requirements.
Electronic map technology. By researching the current technologies such as a database, component development, GIS development and the like, an electronic map system in a radio monitoring direction-finding system is realized by utilizing the component type GIS development technology, the system can realize the functions of spectrum display, direction-finding information display, intersection positioning information display, multi-axis aircraft position and control information display, station monitoring management, target tracking and the like of searching, scanning, fixing and jumping, simultaneously supports the user to perform operations such as amplification, reduction, distance finding, labeling and the like, is fused with related application software such as radio station management, radio direction-finding intersection positioning, target tracking and the like, and realizes seamless fusion of information management and the GIS technology;
(3) and the 5G frequency band signal spectrum analysis platform (comprising a server, a database and analysis software) sends the collected time domain and frequency domain data to a computer platform for analysis and display (spectrum analysis, time frequency analysis, direction finding positioning and the like), and distributes and shares the analyzed situation data. The characteristic analysis and automatic identification demodulation of radio signals are the most important content in radio monitoring, and are the basis for obtaining valuable radio monitoring data. The feature analysis of the general technical features and some fine technical features of the radio signals is the basis for the later technical parameter measurement and signal feature analysis identification. According to the radio monitoring task and requirements, the contents needing to be analyzed and identified are mainly as follows: signal type identification, including technical parameters of conventional and special radio signals, multiplexed signals, etc.; the technical performance identification of the monitored radio equipment comprises the system, the technical performance, the characteristics, the new technical application condition and the like of the radio equipment; the monitored communication station network identification includes the number, composition, geographical distribution, application properties, etc. of the communication station networks.
The characteristics of electromagnetic signals are different from the fields of images, voices and the like, and because of the characteristics of strong confrontation, dynamic change and uncertain boundaries, the existing standard artificial intelligence technology is difficult to be directly and effectively applied, so that the research of the electromagnetic signal detection and identification technology based on deep learning and transfer learning by combining the artificial intelligence technology with the knowledge in the electromagnetic field is urgently needed. Wherein, the deep learning is used for realizing the identification of the signal, and the transfer learning is used for the enhancement of the signal sample.
The embodiments of the present invention are specifically described below.
(1) And constructing a miniaturized low-power-consumption edge computing platform based on the multi-core heterogeneous processor. The framework of an artificial intelligence algorithm and the framework of an intelligent signal identification algorithm are realized, a platform is provided for intelligent identification of 5G signals, the monitored signal frequency spectrum can be processed quickly in real time, and more timely warning is provided for users;
(2) selecting a software radio module with high sensitivity and low noise coefficient, optimizing a processing algorithm of radio signal characteristic analysis and identification demodulation process, adopting a high-speed digital signal processing module and an artificial intelligence algorithm to timely acquire and process signals, and carrying out upper-layer processing analysis and display on the processed and analyzed information transmission central station according to system requirements;
(3) by adopting multi-node wireless monitoring and relying on a time difference method direction finding technology, the system can quickly find the direction of illegal signals which are not in a library. The system adopts an advanced TDOA measuring method, a TDOA algorithm and an error elimination algorithm specially aiming at non-line-of-sight errors, combines a special direction-finding receiving antenna, reduces the noise coefficient of a radio frequency circuit and improves the sensitivity of the radio frequency circuit by using a low-noise and high-sensitivity amplifier and a sound meter filter in the radio frequency circuit, selects a high-precision AD and is matched with an optimized baseband processing algorithm. By means of a hardware design and software control collaborative optimization direction finding technology, direction finding speed is higher and accuracy is higher on the basis of reducing calculation complexity;
(4) by means of the multi-station intersection positioning technology, the system can obtain high-precision position information of the detected radiation source, and technical support is provided for timely monitoring and investigating illegal radiation sources. According to actual airspace conditions and positioning requirements, a system selects a proper positioning system, adopts an advanced multi-station positioning algorithm, reduces a positioning fuzzy area as much as possible, operates a position error analysis algorithm in the positioning fuzzy area aiming at the specific positioning system, and is matched with a more complex least square weighting recursive estimation algorithm, so that the positioning precision can be further improved on the original basis.
(5) Based on a frequency agility zero intermediate frequency receiving technology, fast scanning and spectrum monitoring of 5G frequency band signals are researched to form 5G wireless spectrum receiving equipment.
(6) An intelligent analysis technology for researching the 5G frequency band signal based on an artificial intelligence algorithm is adopted, a neural network technology is adopted to identify the types of interference signals and normal communication signals, and the quality of the communication signals is subjected to statistical analysis.
(7) And researching a direction-finding algorithm of a single node and an intersection positioning algorithm of multiple nodes, realizing direction-finding positioning of the 5G communication signals and the interference signals, and displaying the situation on a map.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents, improvements and the like that fall within the spirit and principle of the present invention are intended to be included therein.
Claims (9)
1. The utility model provides an intelligent monitoring analysis platform based on 5G radio spectrum which characterized in that includes:
the 5G frequency band antenna receives radio signals of the frequency band from the air;
the 5G wireless signal intelligent monitoring terminal is used for filtering, amplifying and carrying out frequency conversion processing on signals received by the 5G frequency band antenna, and then carrying out digital acquisition and spectrum analysis;
the 5G frequency band signal spectrum analysis platform comprises a server, a database, a spectrum analysis service module, a situation data distribution sharing module and a situation data display module, transmits the acquired time domain and frequency domain data to the platform for analysis and display, and distributes and shares the analyzed situation data.
2. The intelligent monitoring and analysis platform based on the 5G wireless spectrum according to claim 1, wherein: and the 5G frequency band signal spectrum analysis platform shares the analyzed situation data to a radio management committee, a mobile network operator, a network optimization service provider and a professional network operator.
3. The intelligent monitoring and analysis platform based on the 5G wireless spectrum according to claim 1, wherein: the monitoring direction-finding system of the 5G wireless signal intelligent monitoring terminal receives radio signals of a target radiation source at different preset positions in the air, sends direction-finding positioning data to the ground remote control monitoring direction-finding platform, and obtains the specific geographical position of the target radiation source through a rendezvous positioning algorithm and error analysis.
4. The intelligent monitoring and analysis platform based on the 5G wireless spectrum according to claim 1 or 3, wherein: the 5G wireless signal intelligent monitoring terminal adopts a single-node direction-finding algorithm and a multi-node intersection positioning algorithm to realize direction-finding positioning of 5G communication signals and interference signals and display the situation on a map.
5. The intelligent monitoring and analysis platform based on the 5G wireless spectrum according to claim 1, wherein: the 5G wireless signal intelligent monitoring terminal adopts multi-node wireless monitoring and relies on a time difference method direction finding positioning method to quickly find the direction of illegal signals which are not in a warehouse.
6. The intelligent monitoring and analysis platform based on the 5G wireless spectrum according to claim 1, wherein: the 5G wireless signal intelligent monitoring terminal adopts a multi-station positioning algorithm, reduces a positioning fuzzy area, runs a position error analysis algorithm in the positioning fuzzy area according to a specific positioning system, and improves positioning accuracy by matching with a least square weighted recursive estimation algorithm.
7. The intelligent monitoring and analysis platform based on the 5G wireless spectrum according to claim 1, wherein: the 5G frequency band signal spectrum analysis platform is based on a multi-core heterogeneous processor, an edge computing service and artificial intelligence processing algorithm framework is built on the platform, the types of interference signals and normal communication signals are identified by adopting a neural network algorithm, and the quality of the communication signals is subjected to statistical analysis.
8. The intelligent monitoring and analysis platform based on the 5G wireless spectrum according to claim 1 or 7, wherein: the 5G frequency band signal spectrum analysis platform selects a software radio module, timely collects and processes signals through a high-speed digital signal processing module and an artificial intelligence algorithm, and carries out upper-layer processing, analysis and display on the processed and analyzed information transmission central station according to system requirements.
9. The intelligent monitoring and analysis platform based on the 5G wireless spectrum according to claim 1, wherein: the content needing to be analyzed and identified in the 5G frequency band signal spectrum analysis platform comprises the following contents: identifying signal types, including technical parameters of conventional and special radio signals and multiplexing signals; the technical performance identification of the monitored radio equipment comprises the system, the technical performance, the characteristics and the new technical application condition of the radio equipment; the monitored communication station network identification comprises the number, the composition, the geographical distribution and the application property of the communication station network.
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN113965876A (en) * | 2021-09-14 | 2022-01-21 | 成都德辰博睿科技有限公司 | Method for realizing comprehensive test platform of monitoring system |
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| CN117880820A (en) * | 2024-03-12 | 2024-04-12 | 南京纳特通信电子有限公司 | Radio safety guarantee system and method for Internet of vehicles |
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