CN116953356A - Ground-air integrated three-dimensional space radio frequency spectrum monitoring method and system - Google Patents
Ground-air integrated three-dimensional space radio frequency spectrum monitoring method and system Download PDFInfo
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Abstract
The invention discloses the technical field of radio spectrum monitoring, in particular to a ground-air integrated three-dimensional space radio spectrum monitoring method and a system, wherein the monitoring method comprises the following steps: constructing a navigation area radio monitoring receiver built in an aircraft guiding head and combining a plurality of ground-air integrated monitoring stations capable of covering the head area, the navigation area and the tail area of the aircraft; and performing three-dimensional meshing on radio frequency spectrum signals acquired by the ground-air integrated multiple monitoring station combination monitoring system to construct an electromagnetic scene model, and visually displaying the electromagnetic scene model. The radio spectrum monitoring system comprises: the invention combines the monitoring method and the monitoring system of the invention by the radio monitoring receiver of the navigation area and the ground-air integrated multiple monitoring stations which can cover the electromagnetic environment of the first area, the navigation area and the last area of the aircraft, realizes the comprehensive monitoring and the early warning of the radio spectrum, and simultaneously has the functions of data processing, visual processing and data support for flight experiments.
Description
Technical Field
The invention relates to the technical field of radio spectrum monitoring, in particular to a ground-air integrated three-dimensional space radio spectrum monitoring method and system of an aircraft transmitting field.
Background
The statements in this section merely provide background information related to the present disclosure and may not necessarily constitute prior art.
In modern electromagnetic environments, aircraft are increasingly in use, and electromagnetic environment radio frequency spectrum monitoring and early warning of aircraft is a vital task. Aircraft mainly refers to aircrafts, spacecrafts, rockets and missiles, and when the aircrafts fly, electromagnetic environments of the first zone, the navigation zone and the last zone of low-altitude aircrafts such as helicopters, unmanned planes, rocket aircrafts and the like are very critical, wherein the spectrum use condition of radio equipment such as radio communication, radars and the like is very important for the movement of the aircrafts. Therefore, it is highly desirable to develop a system that can monitor and alert aircraft electromagnetic environment radio spectrum.
Currently, some conventional radio spectrum monitoring systems have some limitations. They are typically only monitored over a limited geographical area and do not provide comprehensive three-dimensional display and early warning of electromagnetic scenes. In addition, these systems also have difficulties in the processing and analysis of large amounts of monitored data, and accurate extraction and filtering of critical information is not possible.
In the prior art, korean patent No. KR101157040B1 discloses a system for simulating a tracking of a measuring radar and a visualization method using the simulation result, which improves tracking accuracy by providing an optimal tracking portion of the measuring radar before an actual test. The specific implementation of the method is that target DB target modeling, radar modeling and weather-based environment modeling are used, radar tracking simulator modeling data are measured through a plurality of measuring radars, radar measurement is carried out through a measuring radar simulation program based on the modeling data, position information of a target is generated, then data processing is carried out, the data are transmitted to 2D and 3D visualization equipment to carry out radar tracking measurement, and finally simulation of radar tracking is achieved. Wherein the pictures displayed on the two-dimensional visualization screen display the trajectory of the target mainly by tracking the result data of the simulator with the measuring radar transmitted to the network. A 3D visualization screen showing radar, target and optical tracking conditions. The display method can only track and track display the working radar, can only monitor in a limited geographic range, and cannot provide comprehensive three-dimensional display and early warning functions for electromagnetic scenes.
The technical problems to be solved in the application are as follows: how to solve the problem that the monitoring range of the radio frequency spectrum system is limited in the prior art, how to realize the display and the early warning of the radio electromagnetic field comprehensively and accurately, thereby improving the accuracy of the radio frequency spectrum signal monitoring.
Disclosure of Invention
In order to overcome the defects of the prior art, the invention provides a ground-air integrated multiple monitoring station combination monitoring system covering the electromagnetic environments of the head region, the navigation region and the tail region of an aircraft, and performs three-dimensional meshing on radio spectrum signals acquired by the ground-air integrated multiple monitoring station combination monitoring system to construct an electromagnetic scene model, and performs visual display on the acquired radio spectrum signals in the form of the electromagnetic scene model, so that comprehensive monitoring and early warning of the radio spectrum are realized, and meanwhile, the ground-air integrated three-dimensional space radio spectrum monitoring method and the monitoring system have the functions of data, visual processing and data support for flight experiments.
The technical scheme adopted by the invention is as follows: the ground-air integrated three-dimensional space radio spectrum monitoring method is characterized by at least comprising the following steps of:
the method comprises the steps of constructing an air-ground integrated multiple monitoring station combined monitoring system, wherein the air-ground integrated multiple monitoring station combined monitoring system comprises an electromagnetic environment formed by combining an air-ground integrated multiple monitoring station capable of covering a head area, an air area and a tail area of an aircraft with an air-ground integrated radio monitoring receiver built in an aircraft guiding head, the air-ground integrated multiple monitoring station transmits monitoring data through an air-ground satellite, and the air-ground integrated multiple monitoring station collects radio spectrum signals in the flight of the aircraft; and
performing three-dimensional meshing on radio spectrum signals acquired by the ground-air integrated multiple monitoring station combination monitoring system to construct an electromagnetic scene model, and performing visual display on the electromagnetic scene model, wherein: the three-dimensional meshing comprises the steps of collecting or acquiring longitude and latitude information and altitude data of a map, dividing a geographic space formed by the electromagnetic scene model according to geographic coordinates and altitude information into a plurality of three-dimensional grid units, and distributing radio frequency spectrum signals for each three-dimensional grid unit for carrying out electromagnetic information characterization attribute.
In the technical scheme, the collected radio spectrum signals are subjected to data processing, qualitative and quantitative analysis is carried out, and the radio spectrum signals are filtered and screened based on the analysis result so as to exclude irrelevant radio spectrum signals; and identifying potential threat signals in the electromagnetic scenario model for evaluating histories and trials of the ground-air integrated three-dimensional spatial radio frequency spectrum system and accumulating trial data.
In the technical scheme, when radio spectrum signals are collected, the position of an interference source is obtained through a multi-point ranging and positioning algorithm angle estimation and positioning algorithm.
In the technical scheme, when a potential threat signal is identified in the electromagnetic scene model, an unknown threat signal is identified by using an autocorrelation algorithm and early warning is displayed through a three-dimensional grid, wherein:
the autocorrelation algorithm is used for judging the periodicity and similarity of signals, and the calculation formula of the autocorrelation function R (k) of the discrete time signal x (n) is as follows:
R(k) = ∑[x(n) * x(n - k)]；
r (k) represents an autocorrelation function, Σ represents summing all time indexes, k is a delay index, n is a positive integer, and n space-time points are provided.
In the technical scheme, when a potential threat signal is identified in the electromagnetic scene model, the potential threat signal is compared with radio frequency spectrum signals of a known signal library, so that an energy exceeding early warning three-dimensional grid display is identified; or judging whether the signal exceeds the standard or not through an energy monitoring algorithm to identify the energy exceeding-standard early-warning three-dimensional grid display, wherein:
the energy detection algorithm can be expressed as an energy detection formula for the discrete-time signal x (n):
E = ∑[x(n) 2 ] ；
where E represents the energy of the signal, Σ represents summing all time indices, x (n) is the discrete-time signal, n is a positive integer, and there are n spatio-temporal points.
In the technical scheme, the electromagnetic information characterization attribute is any one or more of frequency, power and modulation modes.
Ground-air integrated radio spectrum monitoring system, at least comprising:
a airport radio monitoring receiver built in the aircraft seeker, wherein the airport radio monitoring receiver transmits monitoring data through an earth-air satellite; and
the system comprises a ground-air integrated multiple monitoring station combination capable of covering electromagnetic environments of a head region, a navigation region and a tail region of an aircraft, wherein the ground-air integrated multiple monitoring station combination collects radio spectrum signals in the flight of the aircraft through wired communication or wireless communication, and the collected radio spectrum signals are visually displayed.
In the technical scheme, the ground-air integrated multiple monitoring station combination comprises a land-based radio monitoring station, a maneuvering airspace unmanned aerial vehicle radio mobile monitoring station and a tower-base radio fixed measuring station.
In the present solution, the land-based radio monitoring station includes a land-based mobile monitoring station and/or a land-based fixed monitoring station.
In the technical scheme, the tower footing radio fixed measuring station comprises a high-airspace fixed monitoring station and/or a hollow domain fixed monitoring station and/or a low-airspace fixed monitoring station.
Compared with the prior art, the invention has the beneficial effects that:
1. the combined monitoring system of the ground and air integrated multiple monitoring stations is constructed, and electromagnetic environments of the head area, the navigation area and the tail area of the aircraft can be monitored, displayed and early warned. The monitoring system is provided with a combination of multiple monitoring stations, wherein the multiple monitoring station combination monitoring system comprises, but is not limited to, a land-based radio fixed monitoring station, a land-based radio mobile monitoring station, a tower-based radio fixed monitoring station, an air-based radio unmanned aerial vehicle monitoring station and an aircraft guidance head built-in navigation area radio monitoring receiver so as to cover a wide flight range.
2. The radio spectrum monitoring method is characterized in that the collected radio spectrum signals are subjected to three-dimensional gridding treatment, namely, the collected or acquired map longitude and latitude information and height data are divided into a plurality of three-dimensional grid units, the three-dimensional grid units are associated with electromagnetic information of radio spectrum signal characterization attributes, the electromagnetic scene model is built by the associated electromagnetic information, and the electromagnetic scene model is displayed together in a data mode and a visual mode, so that three-dimensional gridding-based visual display of radio spectrum signal data is realized, and a more accurate and comprehensive solution is provided for aircraft electromagnetic environment monitoring.
3. In addition, for the acquired radio frequency spectrum signal data, through extracting key elements and realizing accurate filtering and screening of signals, potential threat signals are identified in the electromagnetic scene model and used for evaluating the history and the test of the ground-air integrated three-dimensional space radio frequency spectrum system, test data are accumulated, data support is provided for subsequent flight experiments, and the accurate control of the aircraft is improved.
In summary, the ground-air integrated three-dimensional space radio spectrum monitoring method and the ground-air integrated three-dimensional space radio spectrum monitoring system construct a ground-air integrated multiple monitoring station combination monitoring system covering the electromagnetic environments of the head zone, the navigation zone and the tail zone of the aircraft, and meet the monitoring requirements of the electromagnetic environments of the head zone, the navigation zone and the tail zone of the aircraft; and the acquired radio spectrum signals are subjected to three-dimensional meshing to construct an electromagnetic scene model, and the acquired radio spectrum signals are subjected to visual display in the form of the electromagnetic scene model, so that the comprehensive monitoring and early warning of the radio spectrum are realized, and meanwhile, the functions of data processing, visual processing and data support for flight experiments are realized. The system has important application value in the aspects of aircraft monitoring and electromagnetic situation acquisition.
Drawings
FIG. 1 is a flow chart of one embodiment of a ground-air integrated three-dimensional spatial radio spectrum monitoring method;
FIG. 2 is a flow chart of another embodiment of a ground-air integrated three-dimensional spatial radio spectrum monitoring method;
fig. 3 is a block diagram of an integrated ground-air radio spectrum monitoring system;
fig. 4 shows a time point t monitored by the radio spectrum monitoring method and the radio spectrum monitoring system 0 Frequency point f 0 Is a three-dimensional electromagnetic signal profile of (a);
fig. 5 shows a time point t monitored by the radio spectrum monitoring method and the radio spectrum monitoring system 1 Frequency point f 0 Is a three-dimensional electromagnetic signal profile of (a);
fig. 6 shows a time point t monitored by the radio spectrum monitoring method and the radio spectrum monitoring system n Frequency point f 0 Is a three-dimensional electromagnetic signal profile of (a);
fig. 7 shows a time point t monitored by the radio spectrum monitoring method and the radio spectrum monitoring system 0 Frequency point f 1 Is a three-dimensional electromagnetic signal profile of (a);
fig. 8 shows a time point t monitored by the radio spectrum monitoring method and the radio spectrum monitoring system 0 A three-dimensional electromagnetic signal distribution diagram of a frequency point f;
wherein: 1-radio monitoring receiver, 2-land-based radio monitoring station, 21-land-based mobile monitoring station, 22-land-based fixed monitoring station; 3-mobile airspace unmanned aerial vehicle radio mobile monitoring station, 4-tower base radio station, 41-high airspace fixed monitoring station, 42-hollow domain fixed monitoring station, 43-low airspace fixed monitoring station.
Detailed Description
Embodiments of the present invention are described in detail below, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to like or similar elements or elements having like or similar functions throughout. The embodiments described below by referring to the drawings are illustrative only and are not to be construed as limiting the invention.
As shown in fig. 1, the ground-air integrated three-dimensional space radio spectrum monitoring method at least comprises the following steps: s100, constructing an air-ground integrated multiple monitoring station combination monitoring system, wherein the air-ground integrated multiple monitoring station combination monitoring system comprises an electromagnetic environment formed by combining an air-ground integrated multiple monitoring station which is internally arranged in an aircraft guiding head and can cover a head area, an air area and a tail area of an aircraft, the air-ground integrated multiple monitoring station combination monitoring system comprises an air-ground integrated radio monitoring receiver and an air-ground integrated radio monitoring station, the air-ground integrated radio monitoring receiver transmits monitoring data through an air-ground satellite, and the air-ground integrated multiple monitoring station combination is used for collecting radio spectrum signals in the flight of the aircraft; step S200, three-dimensional meshing is carried out on radio frequency spectrum signals collected by the ground-air integrated multiple monitoring station combined monitoring system so as to construct an electromagnetic scene model, and the electromagnetic scene model is visually displayed, wherein: the three-dimensional meshing comprises the steps of collecting or acquiring longitude and latitude information and altitude data of a map, dividing a geographic space formed by the electromagnetic scene according to geographic coordinates and altitude information into a plurality of three-dimensional grid units, and distributing electromagnetic information characterization attributes of radio frequency spectrum signals for each three-dimensional grid unit. The wireless electromagnetic scene model effect graphs obtained according to the monitoring method are shown in fig. 4 to 8, wherein X, Y, Z coordinates respectively represent the length of a geographic three-dimensional space, colors with different width and height dimensions represent the level of electromagnetic signals received at specific frequencies, energy intensity is gradually strengthened along with color depth, wireless electromagnetic scene spectrum signals monitored at the positions can be intuitively observed from the graphs, comprehensive monitoring and early warning of radio frequency spectrum are realized, and the system has important application value in the aspects of aircraft monitoring and electromagnetic situation acquisition.
In a specific implementation process, the radio spectrum signal is subjected to three-dimensional gridding, which comprises the following specific steps:
a. the collected radio spectrum signals are three-dimensionally gridded to construct an electromagnetic scene model, as shown in fig. 2.
And (3) scene construction: map latitude and longitude information and altitude data are collected or acquired, typically using Geographic Information System (GIS) data or satellite telemetry data. Such data includes geographic coordinates, terrain, topography, and location and elevation information of objects such as buildings, trees, etc. in the scene.
Dividing grids: and carrying out three-dimensional grid division on the scene according to the geographic coordinates and the altitude information. The geospatial space is divided into small three-dimensional grid cells according to the size and accuracy requirements of the scene. Each grid cell represents a particular spatial region, identified by a grid number or coordinates.
Grid electromagnetic information characterization definition: each grid cell is assigned an electromagnetic information characterizing attribute of the signal. Including frequency, power, modulation scheme, etc.
b. The visualization of the electromagnetic scene is realized, and the three-dimensional electromagnetic scene is displayed to an operator through a graphical interface or other appropriate modes.
c. Potential threat signals are identified in the electromagnetic field scene (compared with signals of a known signal library, energy exceeds standard and early warns, and then whether the signals exceed standard or not is judged through the following energy monitoring algorithm, the unknown threat signals are identified and early warned through the autocorrelation algorithm), and an early warning function is provided for attracting attention of operators.
Energy detection algorithm: the energy detection algorithm is used to detect the presence and activity of the signal. For a discrete-time signal x (n), its energy detection formula can be expressed as: e= Σx (n) 2 Where E represents the energy of the signal and Σ represents the summation of all time indices.
Autocorrelation algorithm: the autocorrelation algorithm is used to determine the periodicity and similarity of the signals. For the discrete-time signal x (n), the autocorrelation function R (k) is calculated as: r (k) = Σx (n) × (n-k) = where R (k) represents an autocorrelation function, Σ represents summing all time indices, and k is a delay index.
The steps of data processing and visualization processing are as follows:
(a) The collected radio spectrum signals are subjected to data processing, converted into digital form, and stored and analyzed (the spectrum signals can be directly stored or the time domain IQ signals can be stored).
(b) Qualitative and quantitative analysis is performed to extract key elements such as frequency, energy, time, modulation mode, position information and the like.
(c) Signals are filtered and screened (out of energy superscalar and unknown signals) based on the analysis results, extraneous signals are eliminated and potential threat signals are focused.
In at least some embodiments, the method further comprises a step S300, as shown in the embodiment of fig. 2, of performing a data processing on the collected radio spectrum signals, performing a qualitative and quantitative analysis, and filtering and screening the radio spectrum signals based on the analysis result to exclude extraneous radio spectrum signals; and identifying potential threat signals in the electromagnetic scenario model for evaluating histories and trials of the ground-air integrated three-dimensional spatial radio frequency spectrum system and accumulating trial data.
In at least some embodiments, the location of the interfering source is obtained by a multi-point ranging positioning algorithm angle estimation positioning algorithm while radio spectrum signal collection is taking place.
In at least some embodiments, upon identifying a potential threat signal in the electromagnetic scene model, an unknown threat signal is identified using an autocorrelation algorithm and an early warning is displayed through a three-dimensional grid, wherein:
the autocorrelation algorithm is used for judging the periodicity and similarity of signals, and the calculation formula of the autocorrelation function R (k) of the discrete time signal x (n) is as follows:
R(k) = ∑[x(n) * x(n - k)]；
r (k) represents an autocorrelation function, Σ represents summing all time indexes, k is a delay index, n is a positive integer, and n space-time points are provided.
In at least some embodiments, when a potential threat signal is identified in the electromagnetic scene model, an energy out-of-standard early warning three-dimensional grid display is identified by comparing with radio spectrum signals of a known signal library; or judging whether the signal exceeds the standard or not through an energy monitoring algorithm to identify the energy exceeding-standard early-warning three-dimensional grid display, wherein:
the energy detection algorithm can be expressed as an energy detection formula for the discrete-time signal x (n):
E = ∑[x(n) 2 ] ；
where E represents the energy of the signal, Σ represents summing all time indices, x (n) is the discrete-time signal, n is a positive integer, and there are n spatio-temporal points.
In at least some embodiments, the electromagnetic information characterizing attribute is any one or more of frequency, power, and modulation scheme.
The ground-air integrated three-dimensional space radio spectrum monitoring method is used for simulation and experimental evaluation, and comprises the following main steps:
a. and supporting simulation and experiment by using the collected data (comparing and analyzing experimental data and simulation data, finding differences and electromagnetic monitoring loopholes of the flight, optimizing), simulating different flight situations and evaluating the performance of the system.
b. And comparing and analyzing the faults, and providing a basis and a solution for fault processing.
c. And test data are accumulated, and data support and reference are provided for subsequent flight experiments, so that the subsequent accurate control of the aircraft is enhanced.
As shown in fig. 4, the ground-air integrated radio spectrum monitoring system at least comprises: a district radio monitoring receiver 1 built in the aircraft seeker, which transmits monitoring data through ground-air satellites; and a ground-air integrated multiple monitoring station combination capable of covering electromagnetic environments of a head zone, a navigation zone and a tail zone of the aircraft, wherein the ground-air integrated multiple monitoring station combination collects radio spectrum signals in the flight of the aircraft through wired communication or wireless communication, and performs visual display on the collected radio spectrum signals. The radio spectrum signals collected by the combination of the ground and air integrated multiple monitoring stations in the air, and the radio spectrum signal parameters comprise: frequency information, energy size, signal modulation scheme, time and signal position information (determined by the following multi-point ranging algorithm and angle estimation algorithm), etc., land-based radio mobile monitoring stations, tower-based radio fixed monitoring stations.
A multipoint ranging positioning algorithm: the multi-point ranging positioning algorithm calculates the position of the interference source by using the arrival time difference of the interference signal at different monitoring points. Assuming that N monitoring points are provided, the position of the interference source is (x, y, z), the position of the ith monitoring point is (x_i, y_i, z_i), and the arrival time difference is gt_i, the position of the interference source can be calculated by using the following formula:
(x - x_i) 2 + (y - y_i) 2 + (z - z_i) 2 = c 2 * Ht_i 2
where c is the speed of light.
The system of equations derived from the plurality of monitoring points may be solved using a least squares or nonlinear optimization algorithm to obtain a position estimate of the interferer.
Angle estimation positioning algorithm: the angle estimation positioning algorithm utilizes the arrival angles of the interference signals at different monitoring points to estimate the position of the interference source. Assuming that N monitoring points are provided, the position of the interference source is (x, y, z), the position of the ith monitoring point is (x_i, y_i, z_i), and the arrival angle is θ_i, the position of the interference source can be calculated by using the following formula:
(x - x_i) / cos(θ_i) = (y - y_i) / sin(θ_i) = (z - z_i) / tan(θ_i)；
this is a trigonometric relationship and the system of equations derived from the plurality of monitoring points can be solved using a least squares or nonlinear optimization algorithm to obtain an estimate of the location of the source of interference.
In at least some embodiments, the ground-air integrated multiple monitoring station combination includes a land-based radio monitoring station 2, a motorized airspace unmanned radio mobile monitoring station 3, and a tower-based radio station 4.
In at least some embodiments, the land-based radio monitoring stations include land-based mobile monitoring stations 21 and/or land-based stationary monitoring stations 22.
In at least some embodiments, the tower base radio fixed stations include a high airspace fixed monitoring station 41 and/or a hollow domain fixed monitoring station 42 and/or a low airspace fixed monitoring station 43.
In fig. 4 to 8, the coordinates X, Y, Z represent three-dimensional geographical coordinates, respectively, and the light to deep color represents the small to large radio spectrum energy.
Wherein FIG. 4 represents a time point t 0 A frequency point f 0 The three-dimensional electromagnetic signal distribution diagram of FIG. 5 is compared with FIG. 4 and represents the next time t 2 Point, a frequency point f 0 A three-dimensional electromagnetic signal distribution map; the change in the energy distribution of the spatial wireless electromagnetic environment at different moments is characterized from fig. 4 to fig. 5.
The three-dimensional gridded plot of FIG. 6 compared to FIG. 4 represents the nth time point t n A frequency point f 0 The three-dimensional electromagnetic signal distribution diagram represents the change of the energy distribution of the space electromagnetic environment at different moments from fig. 4 to fig. 6.
The three-dimensional gridded representation of FIG. 7, compared to FIG. 4, represents time point t 1 0 The next frequency point f 1 The three-dimensional electromagnetic signal distribution diagram represents the change of the energy distribution of the space electromagnetic environment at different frequency points at the same moment from fig. 4 to fig. 7.
The three-dimensional gridded plot shown in FIG. 8, compared to FIG. 4, represents time point t 1 0 The nth frequency point f en The three-dimensional electromagnetic signal distribution diagram represents the change of the energy distribution of the space electromagnetic environment at different frequency points at the same moment from fig. 4 to fig. 8.
From fig. 4, 5, 6, 7 and 8, it can be easily seen that the distribution area of the radio spectrum has a strong visualization performance. The monitoring system and the method visually display the acquired radio spectrum signals in an electromagnetic scene model form, realize comprehensive monitoring and early warning of the radio spectrum, and simultaneously have the functions of data processing, visual processing and data support for flight experiments, so that the system has important application value in the aspects of aircraft monitoring and electromagnetic situation acquisition.
The embodiments of the present invention are disclosed as preferred embodiments, but not limited thereto, and those skilled in the art will readily appreciate from the foregoing description that various extensions and modifications can be made without departing from the spirit of the present invention.
Claims (10)
1. The ground-air integrated three-dimensional space radio spectrum monitoring method is characterized by at least comprising the following steps of:
the method comprises the steps of constructing an air-ground integrated multiple monitoring station combination monitoring system, wherein the air-ground integrated multiple monitoring station combination monitoring system comprises an air zone radio monitoring receiver which is arranged in an aircraft guiding head and can cover an electromagnetic environment formed by combining air-ground integrated multiple monitoring stations in the head zone, the air zone and the tail zone of an aircraft, the air zone radio monitoring receiver transmits monitoring data through an air-ground satellite, and the air-ground integrated multiple monitoring station combination collects radio spectrum signals in the flight of the aircraft; and
three-dimensional gridding is carried out on radio frequency spectrum signals collected by the ground-air integrated multiple monitoring station combined monitoring system to construct an electromagnetic scene model, the electromagnetic scene model is visually displayed,
wherein: the three-dimensional meshing comprises the steps of acquiring longitude and latitude information and altitude data of a map, dividing a geographic space formed by the electromagnetic scene model according to geographic coordinates and altitude information into a plurality of three-dimensional grid units, and distributing radio frequency spectrum signals for each three-dimensional grid unit for carrying out electromagnetic information characterization attribute.
2. The ground-air integrated three-dimensional space radio spectrum monitoring method according to claim 1, wherein: performing data processing on the collected radio spectrum signals, performing qualitative and quantitative analysis, and then filtering and screening the radio spectrum signals based on the analysis result to exclude irrelevant radio spectrum signals; potential threat signals are then identified in the electromagnetic scenario model for evaluation of histories and trials of the ground-air integrated three-dimensional spatial radio spectrum system and accumulation of trial data.
3. The ground-air integrated three-dimensional space radio spectrum monitoring method according to claim 2, wherein: and when radio spectrum signals are collected, the position of the interference source is obtained through a multi-point ranging and positioning algorithm angle estimation and positioning algorithm.
4. The ground-air integrated three-dimensional space radio spectrum monitoring method according to claim 2, wherein: when a potential threat signal is identified in the electromagnetic scene model, an unknown threat signal is identified by using an autocorrelation algorithm and early warning is displayed through a three-dimensional grid, wherein:
the autocorrelation algorithm calculates the autocorrelation function R (k) of the discrete-time signal x (n) as:
R(k) = ∑[x(n) * x(n - k)]；
r (k) represents an autocorrelation function, Σ represents summing all time indexes, k is a delay index, n is a positive integer, and n space-time points are provided.
5. The ground-air integrated three-dimensional space radio spectrum monitoring method according to claim 2, wherein: when a potential threat signal is identified in the electromagnetic scene model, the potential threat signal is compared with radio frequency spectrum signals of a known signal library, so that an energy exceeding early warning three-dimensional grid display is identified; or judging whether the signal exceeds the standard or not through an energy monitoring algorithm to identify the energy exceeding-standard early-warning three-dimensional grid display, wherein:
the energy detection algorithm can be expressed as an energy detection formula for the discrete-time signal x (n):
E = ∑[x(n) 2 ] ；
where E represents the energy of the signal, Σ represents summing all time indices, x (n) is the discrete-time signal, n is a positive integer, and there are n spatio-temporal points.
6. A ground-air integrated three-dimensional space radio spectrum monitoring method according to any of claims 1-5, characterized in that: the electromagnetic information characterization attribute is any one or more than one of frequency, power and modulation mode.
7. Ground-air integrated radio spectrum monitoring system, characterized in that it comprises at least:
a airport radio monitoring receiver built in the aircraft seeker, wherein the airport radio monitoring receiver transmits monitoring data through an earth-air satellite; and
the system comprises a ground-air integrated multiple monitoring station combination capable of covering electromagnetic environments of a head region, a navigation region and a tail region of an aircraft, wherein the ground-air integrated multiple monitoring station combination collects radio spectrum signals in the flight of the aircraft through wired communication or wireless communication, and the collected radio spectrum signals are visually displayed.
8. A ground-air integrated radio spectrum monitoring system as set forth in claim 7, wherein:
the ground-air integrated multiple monitoring station combination comprises a land-based radio monitoring station, a mobile air-space unmanned aerial vehicle radio mobile monitoring station and a tower-base radio fixed measuring station.
9. A ground-air integrated radio spectrum monitoring system as set forth in claim 8, wherein: the land-based radio monitoring stations include land-based mobile monitoring stations and/or land-based stationary monitoring stations.
10. A ground-air integrated radio spectrum monitoring system according to claim 8 or 9, characterized in that: the tower foundation radio fixed measuring station comprises a high-airspace fixed monitoring station and/or a hollow domain fixed monitoring station and/or a low-airspace fixed monitoring station.
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