Radiation source positioning method based on spatial analysis and radio wave propagation model
By generating a unified multi-dimensional digital map and combining it with a radio wave propagation model, the problem of relying on manual experience in the site selection of electronic countermeasure equipment has been solved, and the scientific and precise automatic site selection has been achieved to adapt to various battlefield environments.
Patent Information
- Application Number
- CN202311205287.7
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2023-09-19
- Publication Date
- 2025-10-28
- Estimated Expiration
- 2043-09-19
AI Technical Summary
Existing technologies rely on manual experience in the site selection of electronic countermeasure equipment and are unable to quantitatively analyze the impact of terrain factors on radio wave propagation, resulting in suboptimal site selection.
By collecting various types of digital maps, a unified multidimensional digital map is generated. Terrain analysis and antenna database modeling are performed. Combined with radio wave propagation models, the terrain, concealment, trafficability, and radiation attenuation values are evaluated point by point. An orthogonal calculation table is then established to determine the optimal location.
It realizes automatic site selection based on objective factors, improves the scientificity and accuracy of site selection, and adapts to the needs of different battlefield environments.
Smart Images

Figure CN119598670B_ABST
Abstract
Description
Technical Field
[0001] This invention belongs to the field of radio radiation source detection and location technology, and relates to a radiation source location method based on spatial analysis and radio wave propagation models. Background Art
[0002] The location of jamming equipment directly affects the jamming effect on the enemy and the survivability of the equipment itself. Multiple factors need to be considered. In addition to subjective factors such as battlefield command, radio wave transmission characteristics and geographical environment are very important objective auxiliary decision-making factors.
[0003] Radio wave propagation has always been one of the most widely studied and researched areas in engineering electromagnetic field theory and environmental electromagnetic properties. In free space, radio wave propagation is a relatively simple phenomenon. For an infinitely large free space, electromagnetic waves emitted by a wave source of finite size propagate outward in the form of spherical waves, and the power density remains constant within a given solid angle on the sphere. However, on Earth, due to the highly complex characteristics of the surface, radio wave propagation on the surface is a complex environmental problem. When electromagnetic waves propagate through various surface features such as sea surfaces, lake (river) surfaces, dry ground, and wet ground, and through uneven terrain such as mountains, plains, hills, and tall buildings, they exhibit different propagation mechanisms such as reflection, refraction, diffraction, transmission, and scattering. Because the occurrence of these mechanisms is highly random, accurately predicting the propagation characteristics of radio waves in complex environments is quite difficult.
[0004] The geographical environment generally includes factors such as topography, landforms, transportation, and land cover, and is usually expressed in the form of a three-dimensional digital map. A three-dimensional digital map is a technical system that, with the support of computer hardware and software systems, collects, stores, manages, processes, analyzes, displays, and describes geographical distribution data within the entire or partial Earth's surface (including the atmosphere). It not only solves the problems of acquiring, managing, and visualizing the aforementioned battlefield geographical environment data, but also possesses powerful geoscientific analysis capabilities. It extracts key feature parameters from this data to develop and design intelligent point selection algorithms based on operational rules, ultimately realizing an intelligent point selection system for jamming equipment based on three-dimensional digital maps.
[0005] Currently, the site selection for electronic warfare equipment generally employs manual map-based selection. Suitable locations are found on two-dimensional or three-dimensional maps based on terrain and the operator's experience. While this method fully leverages human initiative and comprehensively considers various human and geographical factors during site selection, it heavily relies on personal experience and judgment, lacks quantitative analysis, and, in particular, fails to consider the global impact of terrain on radio wave propagation, thus not guaranteeing that the selected location is optimal. Summary of the Invention
[0006] To address the aforementioned technical problems, this invention proposes a radiation source localization method based on spatial analysis and radio wave propagation models. The method includes the following steps:
[0007] Step 1: Collect various types of digital maps of the predetermined area, and unify the coordinate system and data format of the various types of maps; generate a unified multidimensional digital map for positioning.
[0008] Step 2: Establish an antenna database and perform data modeling for both domestic and foreign radiation sources;
[0009] Step 3: Plot the specific deployment locations of our own radiation sources and foreign radiation sources on the multidimensional digital map generated in Step 1;
[0010] Step 4: Select points at predetermined intervals in the area surrounding the deployment location of your own radiation source;
[0011] Step 5: Perform terrain analysis based on the digital elevation data in the multidimensional digital map generated in Step 1. For the multiple points selected in Step 4, extract the terrain elevation and slope values of each point, determine the relative elevation of each point to the location of the friendly radiation source, and whether there is any obstruction to the transmission of the radiation waves from the friendly radiation source to each point; and give a first evaluation value based on the judgment results.
[0012] Step 6: Based on the multidimensional digital map land cover data generated in Step 1, extract land cover parameters point by point, determine whether each location point can be used to set up an antenna device for the friendly radiation source, and whether the set up antenna device is concealed; and give a second evaluation value based on the concealment.
[0013] Step 7: Based on navigation data, calculate the shortest road distance between the expected location of the local radiation source and the starting point. Evaluate the transportation capacity of the radiation source based on the distance between the location of the local radiation source and the starting point, the road grade and width, and give it a third evaluation value.
[0014] Step 8: Based on the antenna database generated in Step 2, and according to different radio wave propagation models, calculate the radiation attenuation value from the location of the local radiation source to the external radiation source point by point, and calculate the suppression power of the local radiation source based on the calculated attenuation value; and give a fourth evaluation value based on the magnitude of the suppression power.
[0015] Step 9: Based on the first to fourth evaluation values generated from the actual geographical conditions of the location of the local radiation source to the external radiation source, establish an orthogonal calculation table, and calculate the optimal location of the local radiation source based on the orthogonal calculation table.
[0016] As described in this invention, the various types of digital maps include: digital map elevation models, digital maps of land cover, and digital maps of digital satellite imagery and navigation data.
[0017] As described in the present invention, the first evaluation value includes: the radiated signal is given an evaluation value of 1 to 10 according to the transmission smoothness from low to high.
[0018] As described in the present invention, the second evaluation value ranges from 0 to 10. For points where antennas cannot be installed, the second evaluation value is 0, and the point is excluded from the range for setting up radiation sources. The second evaluation value is given from low to high according to the antenna concealment: 1 to 10.
[0019] As described in the present invention, the third and fourth evaluation values range from 1 to 10.
[0020] As described in the present invention, step 9 includes: in the orthogonal calculation table, the weighting coefficients of the first to fourth evaluation values are selected according to a predetermined standard.
[0021] The method of this invention effectively integrates various types of three-dimensional geographic information data, which can be used to extract and calculate various geographic influence factors, providing decision support for automatic site selection. This invention creatively integrates geographic influence factors and radio wave propagation attenuation models for analysis, establishing an objective automatic site selection evaluation system. Furthermore, it allows for adjustment of the weights of various influence factors to adapt to different battlefield requirements, greatly improving the software's practicality. Attached Figure Description
[0022] Figure 1 This is a flowchart of the radiation source localization method based on spatial analysis and radio wave propagation model of the present invention. Detailed Implementation
[0023] The main idea of this invention is to use data sources such as satellite imagery, digital elevation models, land cover thematic maps, and vector road networks based on three-dimensional digital maps, and apply GIS spatial analysis technology to extract battlefield environmental influencing factors such as terrain, landforms, transportation, and land cover. At the same time, a radio wave propagation model under a virtual three-dimensional geographic scene is established to calculate radio wave attenuation. Combined with the actual plotted battlefield situation, the above factors are finally weighted and scored to select the optimal deployment location.
[0024] This invention, based on 3D digital maps, utilizes data sources such as satellite imagery, digital elevation models, land cover thematic maps, and vector road networks. Applying GIS spatial analysis technology, it extracts battlefield environmental influencing factors such as terrain, landforms, transportation, and land cover. Simultaneously, it establishes a radio wave propagation model within a virtual 3D geographic scene to calculate radio wave attenuation. Combining this with actual battlefield situation mapping, it weights and scores the above factors to select the optimal deployment location. This invention effectively integrates various types of 3D geographic information data. On one hand, it serves as a data source for 3D digital maps, constructing 3D geographic scenes; on the other hand, it can be used to extract and calculate various geographic influencing factors, providing decision support for automatic site selection. This invention establishes a relatively complete 3D battlefield situation visualization system, effectively representing various geographic elements such as terrain, friendly equipment, enemy radiation sources, and map mapping, providing a foundation for automatic site selection. This invention integrates geographic influencing factors and radio wave propagation attenuation models for analysis, establishing a relatively objective automatic site selection evaluation system. Furthermore, it allows adjustment of the weights of various influencing factors to adapt to various geographic environment requirements, greatly improving the software's practicality.
[0025] The specific embodiments of the present invention will be described in detail below with reference to the accompanying drawings.
[0026] This invention proposes a radiation source localization method based on spatial analysis and radio wave propagation models, the method comprising the following steps:
[0027] Step 1: Collect various types of digital maps of the predetermined area, and unify the coordinate system and data format of the various types of maps; generate a unified multidimensional digital map for positioning.
[0028] Step 2: Establish an antenna database and perform data modeling for both domestic and foreign radiation sources;
[0029] Step 3: Plot the specific deployment locations of our own radiation sources and foreign radiation sources on the multidimensional digital map generated in Step 1;
[0030] Step 4: Select points at predetermined intervals in the area surrounding the deployment location of your own radiation source;
[0031] Step 5: Perform terrain analysis based on the digital elevation data in the multidimensional digital map generated in Step 1. For the multiple points selected in Step 4, extract the terrain elevation and slope values of each point, determine the relative elevation of each point to the location of the friendly radiation source, and whether there is any obstruction to the transmission of the radiation waves from the friendly radiation source to each point; and give a first evaluation value based on the judgment results.
[0032] Step 6: Based on the multidimensional digital map land cover data generated in Step 1, extract land cover parameters point by point, determine whether each location point can be used to set up an antenna device for the friendly radiation source, and whether the set up antenna device is concealed; and give a second evaluation value based on the concealment.
[0033] Step 7: Based on navigation data, calculate the shortest road distance between the expected location of the local radiation source and the starting point. Evaluate the transportation capacity of the radiation source based on the distance between the location of the local radiation source and the starting point, the road grade and width, and give it a third evaluation value.
[0034] Step 8: Based on the antenna database generated in Step 2, and according to different radio wave propagation models, calculate the radiation attenuation value from the location of the local radiation source to the external radiation source point by point, and calculate the suppression power of the local radiation source based on the calculated attenuation value; and give a fourth evaluation value based on the magnitude of the suppression power.
[0035] Step 9: Based on the first to fourth evaluation values generated from the actual geographical conditions of the location of the local radiation source to the external radiation source, establish an orthogonal calculation table, and calculate the optimal location of the local radiation source based on the orthogonal calculation table.
[0036] As described in this invention, the various types of digital maps include: digital map elevation models, digital maps of land cover, and digital maps of digital satellite imagery and navigation data.
[0037] As described in the present invention, the first evaluation value includes: the radiated signal is given an evaluation value of 1 to 10 according to the transmission smoothness from low to high.
[0038] As described in the present invention, the second evaluation value ranges from 0 to 10. For points where antennas cannot be installed, the second evaluation value is 0, and the point is excluded from the range for setting up radiation sources. The second evaluation value is given from low to high according to the antenna concealment: 1 to 10.
[0039] As described in the present invention, the third and fourth evaluation values range from 1 to 10.
[0040] As described in the present invention, step 9 includes: in the orthogonal calculation table, the weighting coefficients of the first to fourth evaluation values are selected according to a predetermined standard.
[0041] Example
[0042] (1) Collect digital elevation models, land cover, satellite imagery and navigation data of geographic areas, and unify coordinate systems and data formats;
[0043] (2) Establish an antenna database and perform data modeling of our jamming equipment and the other side's radiation sources;
[0044] (3) Plot the location of the other side's radiation source and the deployment area of our jamming equipment on satellite imagery;
[0045] (4) Select points at fixed intervals in the area where our jamming equipment is deployed;
[0046] (5) Based on the digital elevation model data, perform terrain analysis, extract terrain elevation and slope values point by point, determine visibility and flatness, and score them;
[0047] (6) Based on the land cover data, extract the land cover parameters point by point, determine whether it is feasible to erect and its concealment, exclude points that are not feasible to erect (such as water areas), and score them according to their concealment ability.
[0048] (7) Based on navigation data, calculate the distance to the nearest road point by point, assess the traffic capacity based on distance, road grade and width, and score it;
[0049] (8) Based on the radio wave propagation model that takes into account the terrain, calculate the attenuation value to the radiation source of the other party point by point, reverse the calculation of the suppression power, and score according to the required suppression power.
[0050] The scores given for (5), (6), (7), and (8) are added together with different weights according to the actual geographical situation to obtain the total score. The point with the highest score is selected as the optimal point.
[0051] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the embodiments of the present invention and are not intended to limit them. Although the embodiments of the present invention have been described in detail with reference to the above preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions to the technical solutions of the embodiments of the present invention should not depart from the spirit and scope of the technical solutions of the embodiments of the present invention.
Claims
1. A radiation source localization method based on spatial analysis and radio wave propagation models, characterized in that, The method includes the following steps: Step 1: Collect various types of digital maps of the predetermined area, and unify the coordinate system and data format of the various types of maps; generate a unified multidimensional digital map for positioning. Step 2: Establish an antenna database and perform data modeling for both domestic and foreign radiation sources; Step 3: Plot the specific deployment locations of our own radiation sources and foreign radiation sources on the multidimensional digital map generated in Step 1; Step 4: Select points at predetermined intervals in the area surrounding the deployment location of your own radiation source; Step 5: Perform terrain analysis based on the digital elevation data in the multidimensional digital map generated in Step 1. For the multiple points selected in Step 4, extract the terrain elevation and slope values of each point, determine the relative elevation of each point to the location of the friendly radiation source, and whether there is any obstruction to the transmission of the radiation waves from the friendly radiation source to each point; and give a first evaluation value based on the judgment results. Step 6: Based on the multidimensional digital map land cover data generated in Step 1, extract land cover parameters point by point, determine whether each location point can be used to set up an antenna device for the friendly radiation source, and whether the set up antenna device is concealed; and give a second evaluation value based on the concealment. Step 7: Based on navigation data, calculate the shortest road distance between the expected location of the local radiation source and the starting point. Evaluate the transportation capacity of the radiation source based on the distance between the location of the local radiation source and the starting point, the road grade and width, and give it a third evaluation value. Step 8: Based on the antenna database generated in Step 2, and according to different radio wave propagation models, calculate the radiation attenuation value from the location of the local radiation source to the external radiation source point by point, and calculate the suppression power of the local radiation source based on the calculated attenuation value; and give a fourth evaluation value based on the magnitude of the suppression power. Step 9: Based on the first to fourth evaluation values generated from the actual geographical conditions of the location of the local radiation source to the external radiation source, establish an orthogonal calculation table, and calculate the optimal location of the local radiation source based on the orthogonal calculation table.
2. The method as described in claim 1, characterized in that, The various types of digital maps include: digital map elevation models, digital maps of land cover, and digital maps of satellite imagery and navigation data.
3. The method as described in claim 1, characterized in that, The first evaluation value includes: the radiated signal is given an evaluation value of 1 to 10 according to the transmission smoothness from low to high.
4. The method as described in claim 1, characterized in that, The second evaluation value ranges from 0 to 10. For points where antennas cannot be installed, the second evaluation value is 0, and the point is excluded from the range for setting up radiation sources. The second evaluation value is given from low to high according to the antenna concealment: 1 to 10.
5. The method as described in claim 1, characterized in that, The third and fourth evaluation values range from 1 to 10.
6. The method as described in claim 1, characterized in that, Step 9 includes: in the orthogonal calculation table, the weighting coefficients of the first to fourth evaluation values are selected according to a predetermined standard.
Citation Information
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