Radar site selection method and system based on multi-source information reference

Abstract

The invention relates to the technical field of radar site selection, in particular to a radar site selection method and system based on multi-source information reference, and the method comprises the steps: obtaining the radar vision field topographic data in a target region according to radar parameters which are radar height, radar viewpoint position, radar detection radius and radar calculation mode; the terrain data in the vision field is used for determining a radar candidate site area; dividing radar vision field topographic data in the target area, comprehensively evaluating the radar candidate sites according to the radar site impact factors, and selecting an optimal radar layout area from the radar candidate sites according to a comprehensive evaluation result; the radar station impact factors comprise earth curvature, topographic relief, topographic gradient, soil humidity, earth surface coverage and meteorological data. The radar system can effectively operate under different geographical and meteorological conditions, the target detection and tracking performance is improved, the sensitivity and resolution of the radar system are improved, and a decision maker can be helped to better allocate resources.

Description

Technical Field

[0001] The present invention relates to the field of radar site selection technology, and in particular to a radar site selection method and system based on multi-source information reference. Background Art

[0002] Radar is now maturely used in the field of air defense and has become a favorable equipment for detecting and attacking high-altitude flying objects. In order to avoid the detection waves of radar, flying objects must choose a lower flight altitude. Ground vegetation and buildings in low-altitude areas will interfere with radar electromagnetic waves and affect detection. In order to minimize the interference of these shielding objects, it is necessary to calculate the radar shielding angle. The radar shielding angle refers to the maximum altitude angle of the radar in a certain line of sight that interferes with the radar's detection of the target. It is one of the key factors affecting the radar's detection capability. When the elevation angle of the radar antenna is less than this maximum altitude angle, the terrain or objects will block the antenna beam, causing the radar to be unable to detect the target, resulting in blind areas of varying sizes and ranges in different directions. The blind areas and loopholes in detection will pose a threat to airspace security.

[0003] At present, although the blind spot problem can be solved by deploying advanced detection radars and equipping them with precise optical measuring instruments, the method of drawing radar shielding angle maps is still relatively backward, and most of them are done manually. It takes at least several hours to produce a radar shielding angle map. The workload of calculation and drawing is large and the accuracy of the map cannot be guaranteed. With the development of computers, some general drawing software has gradually been used to realize the drawing of radar shielding angle maps, which has improved the shortcomings of manual drawing in drawing accuracy and time to a certain extent. At the same time, with the improvement of radar performance, its detection range has also been expanded, which will be affected by the curvature of the earth. In the selection and operation of radar sites, it is usually necessary to consider factors such as the curvature of the earth, topography and meteorological data. However, in the existing technology, only the radar visual range is usually considered, while the interference of the earth curvature, topography and meteorological data on the radar signal is ignored, which in turn affects the sensitivity and resolution of the radar system deployed in complex geographical and meteorological conditions. Summary of the invention

[0004] To this end, the present invention provides a radar site selection method and system based on multi-source information reference to solve the problem that the existing radar deployment site selection does not consider comprehensive factors and affects the applicability of the radar.

[0005] According to the design scheme provided by the present invention, on the one hand, a radar site selection method based on multi-source information reference is provided, comprising:

[0006] Acquire radar field of view terrain data within the target area according to radar parameters, wherein the radar parameters are radar altitude, radar viewpoint position, radar detection radius and radar calculation mode, and the field of view terrain data is used to determine the radar candidate site area;

[0007] The radar field of view terrain data in the target area is divided, and the radar candidate sites are comprehensively evaluated according to the radar site influencing factors, so as to select the optimal radar deployment area from the radar candidate sites according to the comprehensive evaluation results. The radar site influencing factors include earth curvature, terrain undulation, terrain slope, soil moisture, surface cover and meteorological data.

[0008] As the radar site selection method based on multi-source information reference of the present invention, further, terrain data is obtained according to radar parameters, including:

[0009] Obtain radar viewpoint and target point coordinate data according to radar parameters;

[0010] The terrain data within the visual area is acquired according to the radar viewpoint and the target point coordinate data, and the terrain data is represented by the digital elevation model grid data.

[0011] As the radar site selection method based on multi-source information reference of the present invention, further, the terrain data within the radar field of view is divided, including:

[0012] Taking the radar viewpoint as the center, the grid data in the field of view is divided into eight quadrants, and each quadrant is further divided into two areas varying with a specified coordinate variable, wherein the specified coordinate variable includes an X-axis variable and a Y-axis variable;

[0013] In the first area of ​​each quadrant, the X-axis variable is incremented, and / or in the second area of ​​each quadrant, the Y-axis variable is decremented, and all grid points on the radar detection line are traversed by increasing and / or decreasing the coordinate variable;

[0014] According to the line of sight from the radar viewpoint to the target point, the projection of the line of sight on the horizontal plane and all the intersection points of the projection on the grid are obtained; and the elevation value of the intersection point is obtained by linear interpolation;

[0015] The slope of the line of sight between the radar viewpoint and the target point and the slope of the line between the line of sight and each intersection point are calculated, and the visibility of the target point is judged according to the size of the two slopes, so as to determine the radar candidate site according to the target visibility.

[0016] As the radar site selection method based on multi-source information reference of the present invention, further, a comprehensive evaluation of radar candidate sites is performed according to radar site influence factors, including:

[0017] Collecting data of various influencing factors within the radar field of view, the influencing factor data including: earth curvature, terrain relief, terrain slope, soil moisture, surface cover and meteorological data;

[0018] Evaluate the degree of interference of earth curvature, terrain relief, terrain slope, soil moisture, land cover and meteorological data on radar signals at candidate sites;

[0019] The interference degree of each influencing factor is comprehensively predicted according to the preset influencing factor weights, and the suitability scores of the candidate sites are determined according to the comprehensive prediction results, so that the candidate site with the highest score is selected as the optimal radar deployment area according to the suitability score.

[0020] As the radar site selection method based on multi-source information reference of the present invention, further, evaluating the interference degree of the earth curvature on the radar signal in the candidate site includes:

[0021] Determine whether the distance between the radar viewpoint and the target point is greater than the preset distance. If the distance between the two points is greater than the preset distance, set the interference degree of the earth curvature on the radar signal in the candidate site to 1, and correct the target point elevation according to the horizontal distance between the two points and the earth radius, so as to obtain the radar full field of view according to the corrected target point elevation;

[0022] If the distance between the two points is not greater than the preset distance, the interference degree of the earth curvature on the radar signal in the candidate site is set to 0.

[0023] As the radar site selection method based on multi-source information reference of the present invention, further, evaluating the interference degree of terrain undulation and terrain slope on the radar signal of the candidate site includes:

[0024] The terrain relief is obtained based on the difference between the highest and lowest points in the radar field of view, and the terrain relief is classified according to the landform morphology;

[0025] Different values ​​are assigned to the landform classification according to the degree of influence of different landforms on radar signals, so as to obtain the interference degree of terrain relief on the radar signal of the candidate station according to the corresponding value of the landform classification;

[0026] The terrain slope in the radar field of view is obtained, and the terrain slope in the field of view is graded according to the slope classification rule, and the graded terrain slope is assigned a value to obtain the degree of interference of the terrain slope on the radar signal of the candidate site according to the value corresponding to the slope classification. The slope classification rule is used to describe the range of slope sizes in each slope classification.

[0027] As the radar site selection method based on multi-source information reference of the present invention, further, the interference degree of soil moisture, surface coverage and meteorological data on radar signals in candidate sites is evaluated, including:

[0028] The land use data source is divided, and graded and assigned according to the interference degree of the surface cover type in the field of view to the radar signal and the difficulty of deploying the radar, so as to obtain the interference degree of soil moisture and surface cover to the radar signal of the candidate site according to the graded assignment results;

[0029] The temperature variation range is obtained based on the highest and lowest temperatures in the specified time period within the field of view, and the temperature difference and the wind speed in the specified time period within the field of view are graded and assigned values ​​to obtain the degree of interference of meteorological data on radar signals in candidate sites based on the graded assignment results.

[0030] As the radar site selection method based on multi-source information reference of the present invention, further, a comprehensive evaluation of radar candidate sites is performed according to radar site influence factors, and further includes:

[0031] Collect radar site selection training data, wherein the radar site selection training data includes radar measured site selection data and expert evaluation results, wherein the radar measured site selection data includes radar parameters, earth curvature, terrain relief, terrain slope, soil moisture, surface cover and meteorological data required for radar measured site selection;

[0032] A radar site selection evaluation model is constructed based on a neural network, and the radar site selection training data is used to train the radar site selection evaluation model to obtain a radar site selection target model, so as to use the radar site selection target model to determine the optimal radar deployment site in the target area.

[0033] In another aspect, the present invention further provides a radar site selection system based on multi-source information reference, comprising: a terrain acquisition module and a regional assessment module, wherein:

[0034] A terrain acquisition module, used to acquire radar field of view terrain data in the target area according to radar parameters, wherein the radar parameters are radar altitude, radar viewpoint position, radar detection radius and radar calculation mode, and the field of view terrain data is used to determine the radar candidate site area;

[0035] The regional assessment module is used to divide the radar field of view terrain data in the target area, and conduct a comprehensive assessment of the radar candidate sites based on the radar site influencing factors, so as to select the optimal radar deployment area from the radar candidate sites based on the comprehensive assessment results. The radar site influencing factors include earth curvature, terrain undulation, terrain slope, soil moisture, surface cover and meteorological data.

[0036] Beneficial effects of the present invention:

[0037] The present invention can more accurately determine the best radar site by comprehensively considering multiple factors such as terrain undulation, slope, soil moisture, surface cover, monthly precipitation, monthly temperature difference, wind speed, etc., which helps to ensure that the radar system can operate effectively under different geographical and meteorological conditions; by considering the earth curvature correction, the propagation path of the radar signal can be more accurately calculated, thereby improving the performance of target detection and tracking, improving the sensitivity and resolution of the radar system, and helping decision makers to better allocate resources and avoid building radar sites in inappropriate places, thereby saving costs and improving resource utilization efficiency. It is applicable to different geographical and meteorological environments, making it more versatile and adaptable. BRIEF DESCRIPTION OF THE DRAWINGS

[0038] Figure 1 It is a schematic diagram of the radar site selection process based on multi-source information reference in the embodiment;

[0039] Figure 2 This is a schematic diagram of the radar visual area generation process in the embodiment;

[0040] Figure 3 This is a schematic diagram of radar line of sight analysis in the embodiment;

[0041] Figure 4 FIG. 1 is a schematic diagram of the effect of the earth curvature on the elevation image in the embodiment. DETAILED DESCRIPTION

[0042] In order to make the purpose, technical solutions and advantages of the present invention clearer and more understandable, the present invention is further described in detail below in conjunction with the accompanying drawings and technical solutions.

[0043] In view of the problem that the existing radar site selection factors are not comprehensive, the embodiments of the present invention refer to Figure 1 As shown, a radar site selection method based on multi-source information reference is provided, comprising:

[0044] S101. Acquire terrain data of the radar field of view in the target area according to radar parameters, wherein the radar parameters are radar altitude, radar viewpoint position, radar detection radius, and radar calculation mode, and the terrain data in the field of view is used to determine a candidate radar site area.

[0045] Specifically, the radar viewpoint and target point coordinate data can be obtained according to radar parameters; the terrain data within the field of view can be obtained according to the radar viewpoint and target point coordinate data, and the terrain data is represented by digital elevation model grid data.

[0046] S102, dividing the radar field of view terrain data in the target area, and comprehensively evaluating the radar candidate sites according to the radar site influencing factors, so as to select the optimal radar deployment area from the radar candidate sites according to the comprehensive evaluation results, wherein the radar site influencing factors include earth curvature, terrain undulation, terrain slope, soil moisture, surface cover and meteorological data.

[0047] Specifically, the terrain data within the radar field of view can be divided and designed to include:

[0048] Taking the radar viewpoint as the center, the grid data in the field of view is divided into eight quadrants, and each quadrant is further divided into two areas varying with a specified coordinate variable, wherein the specified coordinate variable includes an X-axis variable and a Y-axis variable;

[0049] In the first area of ​​each quadrant, the X-axis variable is incremented, and / or in the second area of ​​each quadrant, the Y-axis variable is decremented, and all grid points on the radar detection line are traversed by increasing and / or decreasing the coordinate variable;

[0050] According to the line of sight from the radar viewpoint to the target point, the projection of the line of sight on the horizontal plane and all the intersection points of the projection on the grid are obtained; and the elevation value of the intersection point is obtained by linear interpolation;

[0051] The slope of the line of sight between the radar viewpoint and the target point and the slope of the line between the line of sight and each intersection point are calculated, and the visibility of the target point is judged according to the size of the two slopes, so as to determine the radar candidate site according to the target visibility.

[0052] like Figure 2 As shown in the figure, according to the input parameters such as radar height, viewpoint position, detection radius and calculation mode, the terrain data of the digital elevation model (DEM) is read to determine the analysis area, and the calculation area of ​​the radar is divided. By calculating the maximum shielding angle of the line of sight, the shielding of the radar field of view by terrain or obstacles is found, and the earth curvature and atmospheric refraction are used to make corrections to ensure the accuracy of the detection range. All directions are looped through to complete the radar's full range of field of view calculation, and finally a visual area matrix is ​​generated to use the visual area matrix to show the visible area and shielding of the radar in all directions. In the actual deployment of radar, in addition to considering the radar field of view, it is also necessary to consider the influence of factors such as earth curvature, topography and meteorological data on the radar shielding angle. By comprehensively analyzing various influencing factors, the applicability of the final radar station location is evaluated and ensured.

[0053] Specifically, comprehensive evaluation of radar candidate sites based on radar site influencing factors may include:

[0054] Collecting data of various influencing factors within the radar field of view, the influencing factor data including: earth curvature, terrain relief, terrain slope, soil moisture, surface cover and meteorological data;

[0055] Evaluate the degree of interference of earth curvature, terrain relief, terrain slope, soil moisture, land cover and meteorological data on radar signals at candidate sites;

[0056] The interference degree of each influencing factor is comprehensively predicted according to the preset influencing factor weights, and the suitability scores of the candidate sites are determined according to the comprehensive prediction results, so that the candidate site with the highest score is selected as the optimal radar deployment area according to the suitability score.

[0057] In a real terrain profile, each point is represented by three quantities: x and y for horizontal position and z for elevation. Based on the coordinate data of the viewpoint P and the target point T, including the three-dimensional coordinates of x, y, and z, the DEM (digital elevation model) grid data within the field of view is obtained. According to the slope judgment method, the formula for calculating the slope of PT is as follows:

[0058]

[0059] On the terrain profile, if the slopes of the lines connecting all points corresponding to the projection coordinates of PT on the horizontal plane and the viewpoint are less than KPT, then the target point is visible relative to the viewpoint P. According to the slope judgment rule, the viewpoint P and the five target points A, B, C, D, E, and F are all visible, while B, D, and F are not visible. Among them, point F is special. The slopes of PA and PF are numerically equal, which is the critical point for judging visibility and invisibility. Only when the latter is greater than the former can it be visible, and the latter is less than or equal to the former and is not visible. From Figure 3 It can be judged that all points within the entire BC segment are visible, and all ground points below the AF segment are not visible.

[0060] In the embodiment of this case, a cross-shaped partitioning algorithm is used to realize slope judgment. The algorithm divides the DEM grid in the field of view into eight quadrants in a cross-shaped partitioning based on the viewpoint center. Each quadrant is divided into two areas, (0°, 45°] is the first area, (45°, 90°] is the second area, and so on. The division of eight areas can improve the operation efficiency and accuracy of the algorithm. In each area, the computer does not need to process the changes of the X-axis and the Y-axis at the same time, but only needs to maintain one independent variable and one dependent variable. For example, in the first area, the X-axis starts from the radar coordinate point and gradually increases before reaching the radar detection boundary, and can traverse all grid points on the radar detection line. Of course, the second area can also use the X value as the independent variable in the same way as the first area, but the detection line angle is greater than 45°, at this time, the X value is used as the independent variable. Obviously, there are not many grid points covered by the Y value as the independent variable. Therefore, the second area is distinguished from the first area. The former increases along the X axis, and the latter decreases along the Y axis. The positive direction of the Y axis can be specified to be downward, which is consistent with the DEM row and column counting method. The other six areas are roughly similar to the above content and will not be repeated. With the viewpoint VP as the center, a straight line is drawn from the viewpoint VP to the target point VT as the line of sight. The projection of this line of sight on the horizontal plane will intersect with the DEM grid at several points, such as point Vi. The elevation values ​​of these intersection points can be obtained by linear interpolation calculation, and the following formula is obtained:

[0061]

[0062] Then, the visibility of the target point VT is determined by calculating and comparing the slopes of the sight lines VPVT and VPVi. Then, the visibility from the viewpoint VP to each grid point in the DEM grid is calculated through iteration.

[0063] In large-scale calculations, the effect of the earth's curvature on elevation is considered. The elevation value of the target point is corrected to reflect the effect of the earth's curvature.

[0064] Among them, the evaluation of the interference degree of the earth curvature on the radar signal in the candidate site includes:

[0065] Determine whether the distance between the radar viewpoint and the target point is greater than the preset distance. If the distance between the two points is greater than the preset distance, set the interference degree of the earth curvature on the radar signal in the candidate site to 1, and correct the target point elevation according to the horizontal distance between the two points and the earth radius, so as to obtain the radar full field of view according to the corrected target point elevation;

[0066] If the distance between the two points is not greater than the preset distance, the interference degree of the earth curvature on the radar signal in the candidate site is set to 0.

[0067] The geoid is not a horizontal plane. Usually, the influence of the earth's curvature on the elevation needs to be considered beyond 10 km. Ideally, the elevation of point A is equal to the elevation of point C, but in reality, the elevation of point C is Δh, so the earth's curvature correction needs to be performed. The influence of the earth's curvature on the terrain needs to be considered in the calculation of the shielding angle of large-scale radars. When the horizontal plane replaces the ellipsoid, the earth's curvature has a greater influence on the height difference. In leveling, the method of equal front and rear sight distances is adopted to eliminate its influence. The trigonometric height measurement uses the calculated influence value to correct it. The height difference error p caused by the earth's curvature can be calculated as follows:

[0068]

[0069] Among them, D is the horizontal distance between two points, and R is the radius of the earth, which is 6371km.

[0070] Among them, the evaluation of the interference degree of terrain relief and terrain slope on the radar signal of the candidate site includes:

[0071] The terrain relief is obtained based on the difference between the highest and lowest points in the radar field of view, and the terrain relief is classified according to the landform morphology;

[0072] Different values ​​are assigned to the landform classification according to the degree of influence of different landforms on radar signals, so as to obtain the interference degree of terrain relief on the radar signal of the candidate station according to the corresponding value of the landform classification;

[0073] The terrain slope in the radar field of view is obtained, and the terrain slope in the field of view is graded according to the slope classification rule, and the graded terrain slope is assigned a value to obtain the degree of interference of the terrain slope on the radar signal of the candidate site according to the value corresponding to the slope classification. The slope classification rule is used to describe the range of slope sizes in each slope classification.

[0074] This case plan considers seven influencing factors, including terrain relief, slope, soil moisture, surface cover, monthly precipitation, monthly temperature difference, and wind speed, based on the pixel-by-pixel shielding analysis. Among them, terrain relief refers to the difference between the highest point and the lowest point in a specific area. In the study, four indicators of 200 meters, 500 meters, 1000 meters, and 2500 meters were used to classify different landforms such as hills, small undulating mountains, and high mountains. According to the limiting influence of different landforms on radar signals, the corresponding value is assigned to each landform classification. Slope is used as a micro-topographic factor to describe the morphology, undulation, or distortion characteristics of micro-surface units. In general, its value is only affected by the point where it is located and the small neighborhood range. Slope is a typical representative of micro-topographic factors. The slope classification is 0-5 for flat slope; 6-15° for gentle slope; 16-25° for inclined slope; IV, 26-35° for steep slope; V, 36-45° for sharp slope; and above 46° for dangerous slope. The final value is assigned according to the slope classification.

[0075] Among them, the evaluation of the degree of interference of soil moisture, land cover and meteorological data on radar signals at candidate sites includes:

[0076] The land use data source is divided, and graded and assigned according to the interference degree of the surface cover type in the field of view to the radar signal and the difficulty of deploying the radar, so as to obtain the interference degree of soil moisture and surface cover to the radar signal of the candidate site according to the graded assignment results;

[0077] The temperature variation range is obtained based on the highest and lowest temperatures in the specified time period within the field of view, and the temperature difference and the wind speed in the specified time period within the field of view are graded and assigned values ​​to obtain the degree of interference of meteorological data on radar signals in candidate sites based on the graded assignment results.

[0078] The land use data source includes 9 types of land use, namely: cultivated land, forest, shrub, grassland, water, ice and snow, bare land, impermeable surface, wetland, and finally the level of interference to the radar signal is graded according to the type of surface cover and the difficulty of the device for deploying the radar. In the processing of meteorological data, the classification and evaluation are carried out according to the meteorological data such as monthly temperature difference, wind speed, and precipitation. Specifically, the meteorological data can know the temperature variation range of the region according to the highest and lowest temperatures. Excessive temperature difference may cause changes in air density, which in turn affects the propagation of radar signals. It is classified according to the size of the monthly temperature difference. Higher wind speed may cause scattering and deviation of radar signals, which is classified according to the size of wind speed. Higher precipitation may cause attenuation and reflection of radar signals, which will have a certain impact on the radar shielding angle, and it is classified according to the amount of precipitation.

[0079] Comprehensively evaluate all influencing factors and calculate the suitability scores of each candidate radar site. Select the site with the highest suitability as the radar site. Perform visibility verification in the actual environment to ensure that the selection of radar sites meets expectations. Adjust and optimize the site selection plan of radar sites to improve coverage and accuracy.

[0080] For example, based on empirical values, the weights of the influencing factors of earth curvature, terrain undulation, terrain slope, soil moisture, surface cover and meteorological data are set to 0.2, 0.2, 0.1, 0.1, 0.2, 0.2 respectively, and the weight of each influencing factor can be adjusted during use.

[0081] Among them, comprehensive evaluation of radar candidate sites based on radar site impact factors may also include:

[0082] Collect radar site selection training data, wherein the radar site selection training data includes radar measured site selection data and expert evaluation results, wherein the radar measured site selection data includes radar parameters, earth curvature, terrain relief, terrain slope, soil moisture, surface cover and meteorological data required for radar measured site selection;

[0083] A radar site selection evaluation model is constructed based on a neural network, and the radar site selection training data is used to train the radar site selection evaluation model to obtain a radar site selection target model, so as to use the radar site selection target model to determine the optimal radar deployment site in the target area.

[0084] The measured site selection and expert evaluation results are used as the labeled sample data for model training, where the weights of each influencing factor are assigned based on experience. An evaluation model is established based on a neural network, and the model is trained using the training labeled sample data to adjust the weights of each influencing factor during the training process. By combining deep learning algorithms with radar site selection, the optimal radar deployment area in the study area can be evaluated, which can better help decision makers allocate resources, avoid building radar sites in inappropriate places, save costs and improve resource utilization efficiency.

[0085] Furthermore, based on the above method, an embodiment of the present invention also provides a radar site selection system based on multi-source information reference, comprising: a terrain acquisition module and a regional assessment module, wherein:

[0086] A terrain acquisition module, used to acquire radar field of view terrain data in the target area according to radar parameters, wherein the radar parameters are radar altitude, radar viewpoint position, radar detection radius and radar calculation mode, and the field of view terrain data is used to determine the radar candidate site area;

[0087] The regional assessment module is used to divide the radar field of view terrain data in the target area, and conduct a comprehensive assessment of the radar candidate sites based on the radar site influencing factors, so as to select the optimal radar deployment area from the radar candidate sites based on the comprehensive assessment results. The radar site influencing factors include earth curvature, terrain undulation, terrain slope, soil moisture, surface cover and meteorological data.

[0088] Use multiple data sources and information, including terrain relief, slope, soil moisture, surface cover, monthly precipitation, monthly temperature difference, wind speed and other factors to more comprehensively evaluate the feasibility of radar sites; and consider the curvature of the earth. Through the correction of the earth's curvature, ensure that the propagation path of the radar signal is accurately calculated to avoid the inaccurate impact of terrain undulations on the radar range.

[0089] Unless otherwise specifically stated, the relative steps, numerical expressions and values ​​of the components and steps set forth in these embodiments do not limit the scope of the present invention.

[0090] In this specification, each embodiment is described in a progressive manner, and each embodiment focuses on the differences from other embodiments. The same or similar parts between the embodiments can be referred to each other. For the system disclosed in the embodiment, since it corresponds to the method disclosed in the embodiment, the description is relatively simple, and the relevant parts can be referred to the method part.

[0091] The units and method steps of each example described in conjunction with the embodiments disclosed herein can be implemented by electronic hardware, computer software, or a combination of the two. In order to clearly illustrate the interchangeability of hardware and software, the composition and steps of each example have been generally described in the above description according to function. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. A person of ordinary skill in the art may use different methods to implement the described functions for each specific application, but such implementation is not considered to be beyond the scope of the present invention.

[0092] Those skilled in the art will appreciate that all or part of the steps in the above method can be completed by instructing related hardware through a program, and the program can be stored in a computer-readable storage medium, such as a read-only memory, a disk or an optical disk. Optionally, all or part of the steps in the above embodiment can also be implemented using one or more integrated circuits, and accordingly, each module / unit in the above embodiment can be implemented in the form of hardware or in the form of software function modules. The present invention is not limited to any specific form of combination of hardware and software.

[0093] Finally, it should be noted that the above-described embodiments are only specific implementations of the present invention, which are used to illustrate the technical solutions of the present invention, rather than to limit them. The protection scope of the present invention is not limited thereto. Although the present invention is described in detail with reference to the above-described embodiments, ordinary technicians in the field should understand that any technician familiar with the technical field can still modify the technical solutions recorded in the above-described embodiments within the technical scope disclosed by the present invention, or can easily think of changes, or make equivalent replacements for some of the technical features therein; and these modifications, changes or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present invention, and should be included in the protection scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.

Claims

1. A radar site selection method based on multi-source information reference, characterized in that: Include: Acquire radar field of view terrain data within the target area according to radar parameters, wherein the radar parameters are radar altitude, radar viewpoint position, radar detection radius and radar calculation mode, and the field of view terrain data is used to determine the radar candidate site area; The radar field of view terrain data in the target area is divided, and the radar candidate sites are comprehensively evaluated according to the radar site influencing factors, so as to select the optimal radar deployment area from the radar candidate sites according to the comprehensive evaluation results. The radar site influencing factors include earth curvature, terrain undulation, terrain slope, soil moisture, surface cover and meteorological data.

2. The radar site selection method based on multi-source information reference according to claim 1 is characterized in that: Get terrain data based on radar parameters, including: Obtain radar viewpoint and target point coordinate data according to radar parameters; The terrain data within the visual area is acquired according to the radar viewpoint and the target point coordinate data, and the terrain data is represented by the digital elevation model grid data.

3. The radar site selection method based on multi-source information reference according to claim 1 or 2, characterized in that: The terrain data within the radar field of view is divided into: Taking the radar viewpoint as the center, the grid data in the field of view is divided into eight quadrants, and each quadrant is further divided into two areas varying with a specified coordinate variable, wherein the specified coordinate variable includes an X-axis variable and a Y-axis variable; In the first area of ​​each quadrant, the X-axis variable is incremented, and / or in the second area of ​​each quadrant, the Y-axis variable is decremented, and all grid points on the radar detection line are traversed by increasing and / or decreasing the coordinate variable; According to the line of sight from the radar viewpoint to the target point, the projection of the line of sight on the horizontal plane and all the intersection points of the projection on the grid are obtained; and the elevation value of the intersection point is obtained by linear interpolation; The slope of the line of sight between the radar viewpoint and the target point and the slope of the line between the line of sight and each intersection point are calculated, and the visibility of the target point is judged according to the size of the two slopes, so as to determine the radar candidate site according to the target visibility.

4. The radar site selection method based on multi-source information reference according to claim 1 is characterized in that: Comprehensively evaluate candidate radar sites based on radar site impact factors, including: Collecting data of various influencing factors within the radar field of view, the influencing factor data including: earth curvature, terrain relief, terrain slope, soil moisture, surface cover and meteorological data; Evaluate the degree of interference of earth curvature, terrain relief, terrain slope, soil moisture, land cover and meteorological data on radar signals at candidate sites; The interference degree of each influencing factor is comprehensively predicted according to the preset influencing factor weights, and the suitability scores of the candidate sites are determined according to the comprehensive prediction results, so that the candidate site with the highest score is selected as the optimal radar deployment area according to the suitability score.

5. The radar site selection method based on multi-source information reference according to claim 4 is characterized in that: Evaluate the degree to which the curvature of the earth interferes with radar signals at candidate sites, including: Determine whether the distance between the radar viewpoint and the target point is greater than the preset distance. If the distance between the two points is greater than the preset distance, set the interference degree of the earth curvature on the radar signal in the candidate site to 1, and correct the target point elevation according to the horizontal distance between the two points and the earth radius, so as to obtain the radar full field of view according to the corrected target point elevation; If the distance between the two points is not greater than the preset distance, the interference degree of the earth curvature on the radar signal in the candidate site is set to 0.

6. The radar site selection method based on multi-source information reference according to claim 4 is characterized in that: Evaluate the degree of interference of terrain relief and terrain slope on radar signals of candidate sites, including: The terrain relief is obtained based on the difference between the highest and lowest points in the radar field of view, and the terrain relief is classified according to the landform morphology; Different values ​​are assigned to the landform classification according to the degree of influence of different landforms on radar signals, so as to obtain the interference degree of terrain relief on the radar signal of the candidate station according to the corresponding value of the landform classification; The terrain slope in the radar field of view is obtained, and the terrain slope in the field of view is graded according to the slope classification rule, and the graded terrain slope is assigned a value to obtain the degree of interference of the terrain slope on the radar signal of the candidate site according to the value corresponding to the slope classification. The slope classification rule is used to describe the range of slope sizes in each slope classification.

7. The radar site selection method based on multi-source information reference according to claim 4 is characterized in that: Assess the extent to which soil moisture, land cover, and meteorological data interfere with radar signals at candidate sites, including: The land use data source is divided, and graded and assigned according to the interference degree of the surface cover type in the field of view to the radar signal and the difficulty of deploying the radar, so as to obtain the interference degree of soil moisture and surface cover to the radar signal of the candidate site according to the graded assignment results; The temperature variation range is obtained based on the highest and lowest temperatures in the specified time period within the field of view, and the temperature difference and the wind speed in the specified time period within the field of view are graded and assigned values ​​to obtain the degree of interference of meteorological data on radar signals in candidate sites based on the graded assignment results.

8. The radar site selection method based on multi-source information reference according to claim 1, characterized in that: Comprehensive evaluation of radar candidate sites based on radar site impact factors also includes: Collect radar site selection training data, wherein the radar site selection training data includes radar measured site selection data and expert evaluation results, wherein the radar measured site selection data includes radar parameters, earth curvature, terrain relief, terrain slope, soil moisture, surface cover and meteorological data required for radar measured site selection; A radar site selection evaluation model is constructed based on a neural network, and the radar site selection training data is used to train the radar site selection evaluation model to obtain a radar site selection target model, so as to use the radar site selection target model to determine the optimal radar deployment site in the target area.

9. A radar site selection system based on multi-source information reference, characterized in that: Contains: terrain acquisition module and regional assessment module, among which, A terrain acquisition module, used to acquire radar field of view terrain data in the target area according to radar parameters, wherein the radar parameters are radar altitude, radar viewpoint position, radar detection radius and radar calculation mode, and the field of view terrain data is used to determine the radar candidate site area; The regional assessment module is used to divide the radar field of view terrain data in the target area, and conduct a comprehensive assessment of the radar candidate sites based on the radar site influencing factors, so as to select the optimal radar deployment area from the radar candidate sites based on the comprehensive assessment results. The radar site influencing factors include earth curvature, terrain undulation, terrain slope, soil moisture, surface cover and meteorological data.

10. An electronic device, characterized in that: include: at least one processor, and a memory coupled to the at least one processor; The memory stores a computer program, and the computer program can be executed by the at least one processor to implement the method according to any one of claims 1 to 8.

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