Radar enhancement equipment deployment method, device and computer program product

Abstract

The present application relates to the field of electronic information technology, and discloses a method, device and computer program product for deploying radar enhancement equipment. The method comprises: determining a target area for the deployment position of the radar enhancement equipment, and inputting the target area into a coding model to obtain candidate points for the deployment position, calculating the signal-to-noise ratio of the candidate points for the deployment position, and screening the candidate points for the deployment position according to the signal-to-noise ratio and geographic space information to obtain the screened candidate points for the deployment position, obtaining the sidelobe effect influence range of the radar enhancement equipment, and determining the deployment position target point of the radar enhancement equipment according to the screened candidate points for the deployment position and the sidelobe effect influence range; because the present application clarifies the target area for the deployment position of the radar enhancement equipment, obtains multiple candidate points therefrom, combines the signal-to-noise ratio, the geographic space information and the sidelobe effect influence range, and finally determines the deployment position target point, the accuracy and rationality of the deployment of the radar enhancement equipment are improved.

Description

Technical Field

[0001] The present application relates to the field of electronic information technology, and in particular to a radar enhancement equipment deployment method, device and computer program product. Background Art

[0002] In the field of urban safety monitoring, wide-area monitoring is usually carried out using radar remote sensing methods. Radar remote sensing can only monitor ground targets that can effectively reflect radar waves. In order to provide effective monitoring points in low-coherence areas or high-precision monitoring points in key monitoring areas, ground enhancement equipment is often deployed in the monitoring area.

[0003] However, the existing technical solutions only qualitatively restrict the environment in which the ground augmentation equipment is deployed. In urban environments, there are a large number of points with strong reflective characteristics. It is difficult to provide effective ground augmentation points, especially for deploying ground augmentation equipment on existing buildings. There is also no complete and detailed deployment process for ground augmentation equipment to screen out deployment points that meet engineering needs. Summary of the invention

[0004] The main purpose of the present application is to provide a radar enhancement equipment deployment method, device and computer program product, aiming to solve the technical problem that it is difficult to accurately deploy radar enhancement equipment in the prior art.

[0005] To achieve the above objectives, the present application proposes a radar enhancement equipment deployment method, the method comprising:

[0006] Determine a target area for the deployment of the radar enhancement equipment, and input the target area into a coding model to obtain candidate points for the deployment location;

[0007] Calculating the signal-to-noise ratio of the candidate points for the layout positions, and screening the candidate points for the layout positions according to the signal-to-noise ratio and the geographic space information to obtain the screened candidate points for the layout positions;

[0008] The sidelobe effect influence range of the radar enhancement equipment is obtained, and the deployment position target point of the radar enhancement equipment is determined according to the screened deployment position candidate points and the sidelobe effect influence range.

[0009] In one embodiment, the step of calculating the signal-to-noise ratio of the candidate points for the layout position, and screening the candidate points for the layout position according to the signal-to-noise ratio and the geospatial information to obtain the screened candidate points for the layout position includes:

[0010] Calculating the signal-to-noise ratio of the candidate points for the layout positions, and screening out intermediate candidate points from the candidate points for the layout positions according to the signal-to-noise ratio and a preset signal-to-noise ratio threshold;

[0011] The intermediate candidate points are screened based on the geospatial information of the intermediate candidate points to obtain screened layout location candidate points.

[0012] In one embodiment, the step of calculating the signal-to-noise ratio of the candidate points for the layout positions, and selecting intermediate candidate points from the candidate points for the layout positions according to the signal-to-noise ratio and a preset signal-to-noise ratio threshold, comprises:

[0013] Extracting a mean pixel intensity of the candidate deployment position point, and using the mean pixel intensity as a clutter radar cross-sectional area of ​​the candidate deployment position point;

[0014] Calculating the main wave radar cross-sectional area of ​​the candidate deployment position point according to the inner diameter size of the radar enhancement device and the radar wave wavelength;

[0015] Obtaining a signal-to-noise ratio of the candidate deployment position point according to a ratio of the main wave radar scattering cross-sectional area to the clutter radar scattering cross-sectional area;

[0016] According to the signal-to-noise ratio and a preset signal-to-noise ratio threshold, intermediate candidate points are screened out from the candidate layout position points.

[0017] In one embodiment, the step of determining a target area for the deployment location of the radar enhancement device and inputting the target area into a coding model to obtain candidate deployment locations includes:

[0018] Determine a target area where the radar enhancement equipment is deployed, and obtain a synthetic aperture radar image of the target area;

[0019] Preprocessing the synthetic aperture radar image to obtain a preprocessed synthetic aperture radar image;

[0020] A coding model is constructed based on the preprocessed synthetic aperture radar image, and the target area is input into the coding model to obtain candidate points of the deployment position.

[0021] In one embodiment, the sidelobe intensity and distribution of the radar enhancement device are calculated based on the physical characteristics of the radar enhancement device and the incident conditions;

[0022] Obtaining the sidelobe effect influence range of the radar enhancement device based on the sidelobe intensity and distribution;

[0023] The target point of the deployment position of the radar enhancement equipment is determined according to the candidate points of the deployment position after screening and the influence range of the sidelobe effect.

[0024] In one embodiment, after the step of obtaining the sidelobe effect influence range of the radar enhancement device and determining the deployment location target point of the radar enhancement device according to the screened deployment location candidate points and the sidelobe effect influence range, the step further includes:

[0025] Calculating an actual radar cross-sectional area of ​​the radar enhancement device located at the target point of the deployment position;

[0026] Obtaining an actual signal-to-noise ratio of the radar enhancement device according to the actual radar cross-sectional area and the radar cross-sectional area of ​​the target point at the deployment position;

[0027] Obtaining actual measurement accuracy of the radar enhancement device according to the actual signal-to-noise ratio, pixels of the actual signal-to-noise ratio, and phase noise;

[0028] When the actual measurement accuracy is greater than the expected measurement accuracy, the layout position target point is adjusted.

[0029] In one embodiment, before the step of calculating the actual radar cross-section of the radar enhancement device located at the target point of the deployment location, the method further includes:

[0030] Determining a radar enhancement device with an adaptive setting based on a preset radar cross section;

[0031] Based on monitoring requirements, the performance of the radar enhancement equipment is verified.

[0032] In one embodiment, when the actual measurement accuracy is greater than the expected measurement accuracy, the step of adjusting the layout position target point includes:

[0033] When the actual measurement accuracy is greater than the expected measurement accuracy, updating the screened candidate points for layout positions based on actual measurement requirements;

[0034] The layout location target point is adjusted according to the updated screened layout location candidate point.

[0035] In addition, to achieve the above-mentioned purpose, the present application also proposes a radar enhancement equipment deployment device, the radar enhancement equipment deployment device comprising:

[0036] A candidate point determination module is used to determine a target area for the radar enhancement device deployment location, and input the target area into a coding model to obtain deployment location candidate points;

[0037] A candidate point screening module, used to calculate the signal-to-noise ratio of the candidate points for the layout position, and screen the candidate points for the layout position according to the signal-to-noise ratio and geographic space information to obtain the screened candidate points for the layout position;

[0038] The target point determination module is used to obtain the sidelobe effect influence range of the radar enhancement equipment, and determine the deployment position target point of the radar enhancement equipment according to the screened deployment position candidate points and the sidelobe effect influence range.

[0039] In addition, to achieve the above-mentioned purpose, the present application also proposes a radar enhancement equipment deployment device, which includes: a memory, a processor, and a computer program stored in the memory and executable on the processor, and the computer program is configured to implement the steps of the radar enhancement equipment deployment method as described above.

[0040] In addition, to achieve the above-mentioned purpose, the present application also proposes a storage medium, which is a computer-readable storage medium, and a computer program is stored on the storage medium. When the computer program is executed by a processor, the steps of the radar enhancement equipment deployment method described above are implemented.

[0041] In addition, to achieve the above-mentioned purpose, the present application also provides a computer program product, which includes a computer program, and when the computer program is executed by a processor, the steps of the radar enhancement equipment deployment method described above are implemented.

[0042] The technical solution proposed in the present application determines the target area for the deployment location of the radar enhancement equipment, and inputs the target area into the coding model to obtain candidate points for the deployment location, calculates the signal-to-noise ratio of the candidate points for the deployment location, and screens the candidate points for the deployment location according to the signal-to-noise ratio and geographic spatial information to obtain the screened candidate points for the deployment location, obtains the influence range of the sidelobe effect of the radar enhancement equipment, and determines the target point for the deployment location of the radar enhancement equipment based on the screened candidate points for the deployment location and the influence range of the sidelobe effect; because the present application clarifies the target area for the deployment location of the radar enhancement equipment, obtains multiple candidate points therefrom, and finally determines the target point for the deployment location in combination with the signal-to-noise ratio, geographic spatial information and the influence range of the sidelobe effect, the accuracy and rationality of the deployment of the radar enhancement equipment are improved. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present application and, together with the description, serve to explain the principles of the present application.

[0044] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, for ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative labor.

[0045] Figure 1 A schematic diagram of a process flow provided for Embodiment 1 of the radar enhancement equipment deployment method of the present application;

[0046] Figure 2 A schematic diagram of a flow chart provided for Embodiment 2 of the radar enhancement equipment deployment method of the present application;

[0047] Figure 3 A schematic diagram of screening candidate points for the radar enhancement equipment deployment method of this application;

[0048] Figure 4 A schematic diagram of a flow chart provided for Embodiment 3 of the radar enhancement equipment deployment method of the present application;

[0049] Figure 5 Schematic diagram of sidelobe effect;

[0050] Figure 6 This is a schematic diagram of the target points for the deployment of radar enhancement equipment for this application;

[0051] Figure 7 This is a schematic diagram of the radar enhancement equipment layout effect for this application;

[0052] Figure 8 This is a schematic diagram of the module structure of the radar enhancement equipment deployment device according to an embodiment of the present application;

[0053] Fig. 9 This is a schematic diagram of the device structure of the hardware operating environment involved in the radar enhancement device deployment method in the embodiment of the present application.

[0054] The purpose, features and advantages of this application will be further described in conjunction with the embodiments and with reference to the accompanying drawings. DETAILED DESCRIPTION

[0055] It should be understood that the specific embodiments described herein are only used to explain the technical solutions of the present application and are not used to limit the present application.

[0056] In order to better understand the technical solution of the present application, a detailed description will be given below in conjunction with the accompanying drawings and specific implementation methods.

[0057] In urban security monitoring, radar telemetry is limited to monitoring ground targets that effectively reflect radar waves. In order to provide effective monitoring in low-coherence or key areas, ground enhancement equipment needs to be deployed. However, existing technologies only qualitatively restrict the equipment deployment environment, and it is difficult to find effective ground enhancement points in urban environments with strong reflective characteristics, especially on existing buildings. At the same time, there is a lack of a complete and detailed deployment process to screen points that meet engineering needs.

[0058] Therefore, in order to overcome the above-mentioned defects, the present application provides a solution by clarifying the target area for the deployment of radar enhancement equipment, obtaining multiple candidate points therefrom, combining the signal-to-noise ratio, geospatial information and the influence range of the sidelobe effect, and finally determining the target point of the deployment position, thereby improving the accuracy and rationality of the deployment of radar enhancement equipment.

[0059] It should be noted that the execution subject of each embodiment of the present application may be a computing service device with data processing, network communication and program running functions, such as a tablet computer, a personal computer, a mobile phone, etc., or an electronic device capable of realizing the above functions, a radar enhancement equipment deployment device, etc. The following embodiments are described below by taking the radar enhancement equipment deployment device as an example.

[0060] Based on this, the embodiment of the present application provides a radar enhancement equipment deployment method, referring to Figure 1 , Figure 1 This is a flow chart of the first embodiment of the radar enhancement equipment deployment method of the present application.

[0061] In this embodiment, the radar enhancement equipment deployment method includes steps S10 to S30:

[0062] Step S10, determining a target area for the deployment of the radar enhancement equipment, and inputting the target area into a coding model to obtain candidate deployment locations.

[0063] It should be noted that radar enhancement equipment refers to equipment used to enhance radar monitoring effects, and is usually used to improve the radar's monitoring precision and accuracy of specific areas.

[0064] It should be understood that the urban environment is complex and changeable, including various terrains, buildings and climatic conditions. The deployment of radar enhancement equipment can enhance the stability of the signal, reduce the interference of external factors on the monitoring results, enhance the strength and clarity of the radar signal, and help to establish effective monitoring points with known locations in complex urban environments. It can also be linked and integrated with other sensor equipment to form an integrated monitoring system, realizing more accurate and intelligent monitoring and early warning functions.

[0065] It is understandable that conventional measurement methods can be used to measure the geographic coordinate information of the target area. For example, for buildings, the range of the roof of the building can be measured (radar enhancement equipment is generally installed on the roof of the building), and the coverage range of the roof of the building can be extracted by measuring the coordinates of each corner point of the roof of the building.

[0066] In addition, it should be noted that the deployment location refers to the specific location where the radar enhancement equipment should be placed in the urban environment, the target area refers to the specific geographical area where radar monitoring is required and radar enhancement equipment is planned to be deployed, and the coding model refers to the mathematical model or algorithm used to process and analyze data and generate candidate deployment location points.

[0067] It should be understood that the function of inputting the target area into the coding model, namely geocoding, is to reversely calculate the longitude and latitude coordinates to radar coordinates. When there are target areas (such as the longitude and latitude coordinates of the building range) and the captured radar image, the range of the target area can be projected onto the radar image through geocoding, and the pixels within the range are the candidate point locations for the preliminary layout of the points.

[0068] It is understandable that after determining the target area that needs to be monitored by radar, the data or information of the area is input into the coding model. The coding model processes and analyzes the input target area data through its internal algorithm and logic, and finally generates candidate points for the deployment of radar enhancement equipment.

[0069] Furthermore, when determining the target area for the deployment of radar enhancement equipment, it is necessary to obtain synthetic aperture radar images.

[0070] It should be noted that synthetic aperture radar is a high-resolution imaging radar that can obtain three-dimensional information and texture features of the earth's surface.

[0071] It is understood that in order to ensure that the coding model can accurately process and analyze the data of the target area, the acquired synthetic aperture radar image is preprocessed. The preprocessing step may include noise removal, contrast enhancement, image registration, filtering and calibration, etc., to obtain a clearer and more accurate preprocessed synthetic aperture radar image.

[0072] Furthermore, a corresponding coding model is constructed based on the preprocessed synthetic aperture radar image. The coding model not only takes into account the basic geographic information of the target area, but also makes full use of the satellite sensor orbit data, the radar system parameters of the synthetic aperture radar image, and the imaging geometry parameters. Therefore, the step S10 may include: determining the target area for the deployment of the radar enhancement equipment, and obtaining the synthetic aperture radar image of the target area; preprocessing the synthetic aperture radar image to obtain the preprocessed synthetic aperture radar image; constructing a coding model based on the preprocessed synthetic aperture radar image, and inputting the target area into the coding model to obtain the candidate points of the deployment position.

[0073] Step S20, calculating the signal-to-noise ratio of the candidate points for the layout position, and screening the candidate points for the layout position according to the signal-to-noise ratio and geographic space information to obtain screened candidate points for the layout position.

[0074] It should be noted that the signal-to-noise ratio can be the ratio of the main signal to the clutter signal. A high signal-to-noise ratio means that the radar signal is clear and less affected by noise, which is conducive to accurate monitoring of the target. Geospatial information refers to various data and information that describe the location, shape, size and relationship of objects on the earth's surface, such as terrain, landforms, and building distribution.

[0075] It is understandable that after the candidate points for deployment are determined, the applicability of these candidate points needs to be further evaluated. By comprehensively considering the signal-to-noise ratio and geospatial information, those candidate points that have both high-quality radar signals and meet the actual deployment conditions can be screened out as the final candidate points for deployment.

[0076] Step S30, obtaining the sidelobe effect influence range of the radar enhancement device, and determining the deployment location target point of the radar enhancement device according to the screened deployment location candidate points and the sidelobe effect influence range.

[0077] It should be noted that in the radar system, in addition to the main lobe (i.e. the main radiation direction of the radar beam), there are also some secondary beam radiation directions. The radiation intensity in these directions is lower, but they will also form a certain detection range. These are called side lobes. The side lobe effect refers to the error or interference in radar detection caused by the side lobe. In the layout of radar enhancement equipment, the side lobe effect may affect the mutual interference between equipment or reduce the overall detection effect.

[0078] It should be understood that the purpose of obtaining the sidelobe effect influence range of the radar enhancement equipment is to understand the interference or error area that may be generated by the equipment during operation. Then, based on the candidate points for the deployment location that have been screened, combined with the influence range of the sidelobe effect, further screening and optimization are carried out. Finally, the deployment location target point that can meet the detection requirements and reduce mutual interference between devices is determined.

[0079] The present embodiment provides a method for deploying radar enhancement equipment, which determines a target area for the deployment location of the radar enhancement equipment, inputs the target area into a coding model, obtains candidate points for the deployment location, calculates the signal-to-noise ratio of the candidate points for the deployment location, and screens the candidate points for the deployment location according to the signal-to-noise ratio and geographic spatial information to obtain the screened candidate points for the deployment location, obtains the influence range of the sidelobe effect of the radar enhancement equipment, and determines the target point for the deployment location of the radar enhancement equipment according to the screened candidate points for the deployment location and the influence range of the sidelobe effect. By clarifying the target area for the deployment location of the radar enhancement equipment, a plurality of candidate points are obtained therefrom, and the target point for the deployment location is finally determined in combination with the signal-to-noise ratio, the geographic spatial information and the influence range of the sidelobe effect, thereby improving the accuracy and rationality of the deployment of the radar enhancement equipment.

[0080] Based on the first embodiment of the present application, in the second embodiment of the present application, the same or similar contents as those in the above-mentioned embodiment 1 can be referred to the above introduction, and will not be repeated in the following. Figure 2 , the step S20 may include steps S201 to S202:

[0081] Step S201 : calculating the signal-to-noise ratio of the candidate points for the layout positions, and screening out intermediate candidate points from the candidate points for the layout positions according to the signal-to-noise ratio and a preset signal-to-noise ratio threshold.

[0082] It should be noted that the preset signal-to-noise ratio threshold refers to a pre-set standard value used to evaluate whether the signal-to-noise ratio of the candidate deployment location meets the standard. This threshold is usually determined based on the performance requirements of the radar system, the characteristics of the monitoring environment, and the expected monitoring effect.

[0083] It is understood that after the signal-to-noise ratio of the candidate points for the layout position is calculated, it is compared with the preset signal-to-noise ratio threshold. If the signal-to-noise ratio of a candidate point is higher than or equal to the threshold, then this point is selected as an intermediate candidate point and further screened according to other conditions (such as geospatial information). On the contrary, if the signal-to-noise ratio of a candidate point is lower than the threshold, then this point is excluded from the screened candidate points for the layout position.

[0084] The step S201 may include steps S2011 to S2014:

[0085] Step S2011, extracting the average pixel intensity of the candidate location point, and using the average pixel intensity as the clutter radar cross-sectional area of ​​the candidate location point.

[0086] It should be noted that the pixel intensity mean refers to all the pixels in a certain area (such as an image window, an object or a certain range where a candidate point is located) in image processing. Each pixel represents the scattering intensity of a certain object in the radar image (i.e., the reflection intensity of the radar echo). When there are multi-phase synthetic aperture radar images, for the same object target (i.e., the same pixel point) in multiple images acquired at different times, calculating the intensity mean of the pixel is to average the scattering intensity of this object target in all images. For the radar system, different objects and materials have different reflection capabilities for radar waves. This difference in reflection capability will result in different pixel intensities in different areas of the image.

[0087] It can be understood that the pixel intensity mean can be used as a simplified indicator to approximate the radar cross-sectional area of ​​a certain area (such as the range where a candidate deployment location is located), and the radar cross-sectional area can be used to measure the target object's ability to reflect radar waves.

[0088] It should be noted that when the radar system is working, it will emit electromagnetic waves (i.e., main waves) to detect target objects. These main waves will be reflected back after encountering the target to form echoes. The radar system obtains information such as the position and speed of the target object by receiving and analyzing these echoes. However, in actual applications, the signals received by the radar system not only contain echoes from the target object, but also signals from other sources, which are collectively referred to as clutter. Clutter may come from the natural environment (such as reflections from the ground, trees, buildings, etc.), or it may come from interference from other radar systems or electronic equipment. The presence of clutter will interfere with the radar system's detection and identification of target objects and reduce the performance of the radar system.

[0089] Step S2012, calculating the main wave radar cross-sectional area of ​​the candidate deployment location according to the inner diameter size of the radar enhancement device and the radar wave wavelength.

[0090] It is understandable that radar cross section is a key indicator of the target's ability to reflect signals under radar scanning, which is affected by many factors such as target size, shape, material, radar wave wavelength, frequency, observation angle, etc. For complex targets, a series of approximate methods or experimental measurements can be used for estimation.

[0091] Exemplarily, the maximum theoretical main wave radar cross-sectional area is calculated based on the shape and size of the corner reflector. Taking a triangular trihedral corner reflector as an example, the maximum theoretical main wave radar cross-sectional area is calculated as follows:

[0092]

[0093] Where a is the inner diameter and λ is the wavelength of the radar wave.

[0094] Step S2013, obtaining a signal-to-noise ratio of the candidate deployment position point according to the ratio of the main wave radar scattering cross-sectional area to the clutter radar scattering cross-sectional area.

[0095] Step S2014: selecting intermediate candidate points from the candidate layout position points according to the signal-to-noise ratio and a preset signal-to-noise ratio threshold.

[0096] It can be understood that the intermediate candidate points are obtained by comparing the signal-to-noise ratio of each candidate layout position point with a preset signal-to-noise ratio threshold for screening.

[0097] Exemplarily, the preset signal-to-noise ratio threshold may be set by calculating the measurement accuracy. For pixels with a high signal-to-noise ratio, the measurement accuracy calculation formula is:

[0098]

[0099] Where λ is the wavelength of the radar wave, σ φis the phase noise, and SCR is the radar cross section.

[0100] If the maximum measurement accuracy is theoretically 0.1 mm, then for X-band (wavelength 30 mm) satellites, the radar cross-sectional area needs to reach 25 dB.

[0101] Step S202: Filter the intermediate candidate points based on the geospatial information of the intermediate candidate points to obtain filtered candidate points for layout locations.

[0102] It should be understood that geospatial information has an important impact on the placement of radar enhancement equipment. Complex terrain undulations may cause changes in the propagation path of radar signals, affecting scattering and echo quality. Atmospheric conditions (such as humidity and water vapor content) will affect the propagation of radar signals, causing phase delays and signal attenuation, while obstructions such as buildings will reflect or block radar signals, limiting the detection range.

[0103] For example, Figure 3 As shown, based on the geospatial information of a region containing the intermediate candidate points and the satellite viewing angle, the candidate points in the shadow area are screened out.

[0104] This embodiment first calculates the signal-to-noise ratio of the candidate points for deployment locations based on the ratio of the main wave to the clutter radar scattering cross-sectional area, and screens out the intermediate candidate points by comparing with the preset threshold, and then further screens out the candidate points for deployment locations based on the geographic space information, and finally determines the screened candidate points for deployment locations, comprehensively considers the radar scattering cross-sectional area, signal-to-noise ratio and geographic space information, accurately screens the deployment locations of the radar enhancement equipment, improves the detection performance and accuracy of the radar enhancement equipment, and at the same time optimizes resource allocation, reduces deployment costs, and improves the overall application effect.

[0105] Based on the first embodiment of the present application, in the third embodiment of the present application, the same or similar contents as those in the above-mentioned embodiment 1 can be referred to the above introduction, and will not be repeated in the following. Figure 4 , the step S30 may include steps S301 to S303:

[0106] Step S301, calculating the sidelobe intensity and distribution of the radar enhancement device according to the physical characteristics and incident conditions of the radar enhancement device.

[0107] It should be noted that the physical characteristics of the radar enhancement equipment may include the size, shape, material and antenna design of the equipment, and the incident conditions usually include the frequency, wavelength, polarization mode and incident angle of the radar wave.

[0108] It is understood that based on the physical characteristics of the radar enhancement device and the incident conditions, a mathematical model or simulation software is used to calculate the intensity and distribution of the side lobes.

[0109] Step S302: obtaining a sidelobe effect influence range of the radar enhancement device based on the sidelobe intensity and distribution.

[0110] It should be noted that sidelobe intensity refers to the intensity of sidelobe radiation or received energy, and its distribution refers to the distribution of sidelobe intensity in space; radar enhancement equipment refers to equipment used to enhance radar performance, which may include amplifiers, filters or other technical components; sidelobe effect impact range refers to the area or range covered by the negative impact on radar performance due to the existence of sidelobes.

[0111] It should be understood that the area or range covered by the negative impact on the performance of the radar enhancement equipment due to the presence of side lobes is determined based on the sidelobe intensity and distribution, combined with the performance requirements of the radar enhancement equipment and environmental conditions.

[0112] Step S303, determining a target point for the deployment location of the radar enhancement device according to the screened candidate deployment location points and the sidelobe effect influence range.

[0113] For example, Figure 5 As shown, the corner reflector has obvious side lobe effect, forming a "cross" enhancement effect, which affects the reflection effect of surrounding objects. The influence range of the corner reflector is analyzed to avoid mutual influence between the two corner reflectors.

[0114] This embodiment calculates the sidelobe intensity and distribution of the radar enhancement device based on its physical characteristics and incident conditions, and then determines the influence range of the sidelobe effect. By comparing the selected candidate points of the deployment position with the influence range of the sidelobe effect, the optimal deployment position target point of the radar enhancement device can be determined, which helps to optimize radar performance, reduce sidelobe interference, and improve the accuracy and reliability of radar detection.

[0115] In the third embodiment, after step S30, the following steps may also be included:

[0116] Calculating an actual radar cross-sectional area of ​​the radar enhancement device located at the target point of the deployment position;

[0117] Obtaining an actual signal-to-noise ratio of the radar enhancement device according to the actual radar cross-sectional area and the radar cross-sectional area of ​​the target point at the deployment position;

[0118] Obtaining actual measurement accuracy of the radar enhancement device according to the actual signal-to-noise ratio, pixels of the actual signal-to-noise ratio, and phase noise;

[0119] When the actual measurement accuracy is greater than the expected measurement accuracy, the layout position target point is adjusted.

[0120] It is understandable that after determining the target points for the deployment of the radar enhancement equipment, field testing is required to ensure that the performance of the equipment in the actual environment meets expectations.

[0121] It should be understood that the radar enhancement device is precisely placed at the previously determined deployment location target point. Subsequently, a series of technical measurements are performed to calculate the radar cross-sectional area of ​​the device in the actual environment, and the actual radar cross-sectional area obtained is compared and analyzed with the radar cross-sectional area of ​​the deployment location target point, so as to calculate the signal-to-noise ratio of the radar enhancement device in the actual working environment.

[0122] Furthermore, based on the actual signal-to-noise ratio value, combined with the pixel resolution of the actual signal-to-noise ratio (i.e., the smallest unit in which the signal can be distinguished in space) and the phase noise (i.e., the noise generated by the phase change of the signal during transmission), the actual measurement accuracy of the radar enhancement device can be comprehensively evaluated.

[0123] It is understandable that if the actual measurement accuracy fails to meet the expected measurement accuracy requirements, then the layout location target points need to be adjusted.

[0124] It should be understood that adjusting the deployment location target point may involve, for example, reselecting the deployment location, re-evaluating and selecting a more suitable location to deploy the radar enhancement equipment according to the actual measurement requirements and on-site environment. The new location should be able to minimize interference factors, such as obstacles, reflective surfaces, and electromagnetic interference, so as to ensure the quality and stability of the measurement signal. The device orientation may also be adjusted or the device configuration may be optimized to ensure that the radar enhancement equipment can achieve the expected measurement accuracy and performance requirements in actual applications. Therefore, the step of adjusting the deployment location target point when the actual measurement accuracy is greater than the expected measurement accuracy may also include: when the actual measurement accuracy is greater than the expected measurement accuracy, updating the selected deployment location candidate point based on the actual measurement requirements; and adjusting the deployment location target point according to the updated selected deployment location candidate point.

[0125] For ease of understanding, the following references Figure 6-7 This invention is provided for illustration, but is not intended to limit the present application. Figure 6 This is a schematic diagram of the target points for the radar enhancement equipment layout for this application. Figure 7 This is a schematic diagram of the radar enhancement equipment deployment effect for this application. The specific steps for deploying radar enhancement equipment on the roof of a building are as follows:

[0126] 1. Based on actual needs, combined with the images of the deployment location target points and sidelobe effects, four deployment location target points are selected to temporarily set up corner reflectors, and the satellite passes over to take synthetic aperture radar images.

[0127] 2. Calculate the actual radar cross-sectional area value of the corner reflector, and calculate the actual signal-to-noise ratio of the corner reflector based on the radar cross-sectional area value of the surrounding environment. Calculate the theoretical measurement accuracy of the corner reflector according to the method in step 2 based on the corner reflector layout position, and evaluate whether it meets the requirements.

[0128] 3. For corner reflectors that do not meet the requirements, repeat steps 1-2 until the requirements are met.

[0129] As in this example, combined with Figure 7 From Table 1, it can be seen that the effect of radar enhancement equipment is significantly enhanced before and after deployment.

[0130] Table 1 Radar enhancement equipment deployment effect data

[0131] Serial number 1 2 3 4 Average strength (before installation) / dB -10.03 -9.93 -8.32 -5.75 Mean strength (after installation) / dB 25.13 25.46 24.85 24.76 Mean difference / dB 35.16 35.39 33.17 30.51 Theoretical accuracy / mm 0.51 0.33 0.42 0.50

[0132] 4. Deploy permanent corner reflectors at deployment points that meet the test requirements to complete the deployment task.

[0133] Among them, it should be noted that the trial production and production of corner reflectors are mainly considered from aspects such as material selection, design, production process and coating treatment. Select suitable materials for the production of corner reflectors, usually metal materials such as aluminum alloys are selected, these materials have good reflective performance and durability; design the shape and size of the corner reflector, common shapes include triangles, quadrilaterals, etc., the size should be adjusted according to the actual deployment environment and monitoring requirements; determine the production process of the corner reflector, the production process needs to ensure accuracy and quality, the orthogonality of each panel of the corner reflector, the curvature of the panel and the unevenness of the surface will affect the actual radar cross-sectional area value of the corner reflector; the surface of the corner reflector is coated to enhance its reflective performance. Common coating materials include aluminum plating or metal plating to improve reflectivity and corrosion resistance.

[0134] It is understandable that before calculating the actual radar cross-section, selecting a device with an adaptive setting from the available radar enhancement devices according to the requirements of the preset radar cross-section involves evaluating the shape, size, material and other relevant characteristics of the device. Then, the performance verification of the selected radar enhancement device may include simulating and analyzing its performance under different deployment environments and monitoring conditions, and actually measuring its reflection performance and corrosion resistance to ensure that the selected device can meet the expected radar cross-section and durability requirements in actual applications. Therefore, before the step of calculating the actual radar cross-section of the radar enhancement device located at the target point of the deployment position, it may also include: before the step of calculating the actual radar cross-section of the radar enhancement device located at the target point of the deployment position, it also includes: determining the radar enhancement device with an adaptive setting according to the preset radar cross-section; based on the monitoring requirements, the performance of the radar enhancement device is verified.

[0135] This embodiment places the radar enhancement device at the target point of the deployment position, calculates its actual radar cross-sectional area, obtains the actual signal-to-noise ratio, and evaluates the actual measurement accuracy of the radar enhancement device in combination with the pixel and phase noise of the actual signal-to-noise ratio. If the actual measurement accuracy exceeds expectations, the deployment position target point is adjusted to ensure the accurate deployment of the radar enhancement device. By adjusting the position to improve the measurement accuracy, it helps to optimize the performance of the radar system and improve the accuracy and reliability of radar detection.

[0136] It should be noted that the above examples are only used to understand the present application and do not constitute a limitation on the radar enhancement equipment deployment method of the present application. More simple transformations based on this technical concept are all within the scope of protection of the present application.

[0137] This application also provides a radar enhancement equipment deployment device, please refer to Figure 8 , the radar enhancement equipment deployment device comprises:

[0138] An image acquisition module 10 is used to determine a target area for the deployment of the radar enhancement device, and input the target area into a coding model to obtain candidate points for the deployment location;

[0139] A candidate point screening module 20 is used to calculate the signal-to-noise ratio of the candidate points for the layout positions, and screen the candidate points for the layout positions according to the signal-to-noise ratio and the geographic space information to obtain the screened candidate points for the layout positions;

[0140] The target point determination module 30 is used to obtain the sidelobe effect influence range of the radar enhancement equipment, and determine the deployment position target point of the radar enhancement equipment according to the screened deployment position candidate points and the sidelobe effect influence range.

[0141] The radar enhancement equipment deployment device provided by the present application adopts the radar enhancement equipment deployment method in the above embodiment, which can solve the technical problem that it is difficult to accurately deploy radar enhancement equipment in the prior art. Compared with the prior art, the beneficial effects of the radar enhancement equipment deployment device provided by the present application are the same as the beneficial effects of the radar enhancement equipment deployment method provided by the above embodiment, and other technical features in the radar enhancement equipment deployment device are the same as the features disclosed in the above embodiment method, which will not be repeated here.

[0142] The present application provides a radar enhancement equipment deployment device, which includes: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can execute the radar enhancement equipment deployment method in the above-mentioned embodiment one.

[0143] Reference below Fig. 9 , which shows a schematic diagram of the structure of the radar enhancement equipment deployment device suitable for implementing the embodiment of the present application. The radar enhancement equipment deployment device in the embodiment of the present application may include but is not limited to mobile terminals such as mobile phones, laptop computers, digital broadcast receivers, PDAs (Personal Digital Assistants), PADs (Portable Application Desctions), PMPs (Portable Media Players), vehicle-mounted terminals (such as vehicle-mounted navigation terminals), etc., and fixed terminals such as digital TVs, desktop computers, etc. Fig. 9 The radar enhancement equipment deployment device shown is only an example and should not bring any limitation to the functions and scope of use of the embodiments of the present application.

[0144] like Fig. 9 As shown, the radar enhancement equipment deployment device may include a processing device 1001 (such as a central processing unit, a graphics processor, etc.), which can perform various appropriate actions and processes according to a program stored in a read-only memory (ROM: Read Only Memory) 1002 or a program loaded from a storage device 1003 to a random access memory (RAM: Random Access Memory) 1004. Various programs and data required for the operation of the radar enhancement equipment deployment device are also stored in the RAM 1004. The processing device 1001, the ROM 1002, and the RAM 1004 are connected to each other through a bus 1005. An input / output (I / O) interface 1006 is also connected to the bus. Typically, the following systems may be connected to the I / O interface 1006: input devices 1007 including, for example, a touch screen, a touch pad, a keyboard, a mouse, an image sensor, a microphone, an accelerometer, a gyroscope, etc.; output devices 1008 including, for example, a liquid crystal display (LCD), a speaker, a vibrator, etc.; storage devices 1003 including, for example, a magnetic tape, a hard disk, etc.; and communication devices 1009. The communication devices 1009 may allow the radar enhancement equipment deployment device to communicate wirelessly or wired with other devices to exchange data. Although the radar enhancement equipment deployment device with various systems is shown in the figure, it should be understood that it is not required to implement or have all the systems shown. More or fewer systems may be implemented or have instead.

[0145] In particular, according to the embodiments disclosed in the present application, the process described above with reference to the flowchart can be implemented as a computer software program. For example, the embodiments disclosed in the present application include a computer program product, which includes a computer program carried on a computer-readable medium, and the computer program includes a program code for executing the method shown in the flowchart. In such an embodiment, the computer program can be downloaded and installed from a network through a communication device, or installed from a storage device 1003, or installed from a ROM 1002. When the computer program is executed by the processing device 1001, the above-mentioned functions defined in the method of the embodiment disclosed in the present application are executed.

[0146] The radar enhancement equipment deployment device provided by the present application adopts the radar enhancement equipment deployment method in the above embodiment, which can solve the technical problem that it is difficult to accurately deploy radar enhancement equipment in the prior art. Compared with the prior art, the beneficial effects of the radar enhancement equipment deployment device provided by the present application are the same as the beneficial effects of the radar enhancement equipment deployment method provided by the above embodiment, and other technical features in the radar enhancement equipment deployment device are the same as the features disclosed in the method of the previous embodiment, which will not be repeated here.

[0147] It should be understood that the various parts disclosed in this application can be implemented by hardware, software, firmware or a combination thereof. In the description of the above embodiments, specific features, structures, materials or characteristics can be combined in any one or more embodiments or examples in a suitable manner.

[0148] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art who is familiar with the present technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

[0149] The present application provides a computer-readable storage medium having computer-readable program instructions (ie, computer programs) stored thereon, and the computer-readable program instructions are used to execute the radar enhancement equipment deployment method in the above-mentioned embodiment.

[0150] The computer-readable storage medium provided in the present application may be, for example, a USB flash drive, but is not limited to electrical, magnetic, optical, electromagnetic, infrared, or semiconductor systems, systems or devices, or any combination of the above. More specific examples of computer-readable storage media may include, but are not limited to: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above. In this embodiment, the computer-readable storage medium may be any tangible medium containing or storing a program that can be used by or in combination with an instruction execution system, system or device. The program code contained on the computer-readable storage medium may be transmitted using any appropriate medium, including but not limited to: wires, optical cables, RF (Radio Frequency), etc., or any suitable combination of the above.

[0151] The computer-readable storage medium may be included in the radar enhancement equipment deployment device; or may exist independently without being assembled into the radar enhancement equipment deployment device.

[0152] The above-mentioned computer-readable storage medium carries one or more programs. When the above-mentioned one or more programs are executed by the radar enhancement equipment deployment device, the radar enhancement equipment deployment device: determines the target area of ​​the radar enhancement equipment deployment location, and inputs the target area into the coding model, obtains the deployment location candidate points, calculates the signal-to-noise ratio of the deployment location candidate points, and screens the deployment location candidate points according to the signal-to-noise ratio and geographic spatial information, obtains the screened deployment location candidate points, obtains the sidelobe effect influence range of the radar enhancement equipment, and determines the deployment location target point of the radar enhancement equipment according to the screened deployment location candidate points and the sidelobe effect influence range.

[0153] Computer program code for performing the operations of the present application may be written in one or more programming languages ​​or a combination thereof, including object-oriented programming languages ​​such as Java, Smalltalk, C++, and conventional procedural programming languages ​​such as "C" or similar programming languages. The program code may be executed entirely on the user's computer, partially on the user's computer, as a separate software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computer (e.g., via the Internet using an Internet service provider).

[0154] The flow chart and block diagram in the accompanying drawings illustrate the possible architecture, function and operation of the system, method and computer program product according to various embodiments of the present application. In this regard, each square box in the flow chart or block diagram can represent a module, a program segment or a part of a code, and the module, the program segment or a part of the code contains one or more executable instructions for realizing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the square box can also occur in a sequence different from that marked in the accompanying drawings. For example, two square boxes represented in succession can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each square box in the block diagram and / or flow chart, and the combination of the square boxes in the block diagram and / or flow chart can be implemented with a dedicated hardware-based system that performs a specified function or operation, or can be implemented with a combination of dedicated hardware and computer instructions.

[0155] The modules involved in the embodiments described in this application may be implemented by software or hardware, wherein the name of the module does not constitute a limitation on the unit itself in some cases.

[0156] The readable storage medium provided by the present application is a computer-readable storage medium, which stores computer-readable program instructions (i.e., computer programs) for executing the above-mentioned radar enhancement equipment deployment method, and can solve the technical problem that it is difficult to accurately deploy radar enhancement equipment in the prior art. Compared with the prior art, the beneficial effects of the computer-readable storage medium provided by the present application are the same as the beneficial effects of the radar enhancement equipment deployment method provided by the above-mentioned embodiment, and will not be repeated here.

[0157] The present application also provides a computer program product, including a computer program, which implements the steps of the above-mentioned radar enhancement equipment deployment method when executed by a processor.

[0158] The computer program product provided by the present application can solve the technical problem that it is difficult to accurately deploy radar enhancement equipment in the prior art. Compared with the prior art, the beneficial effects of the computer program product provided by the present application are the same as the beneficial effects of the radar enhancement equipment deployment method provided by the above embodiment, which will not be repeated here.

[0159] The above descriptions are only some embodiments of the present application, and are not intended to limit the patent scope of the present application. All equivalent structural changes made using the contents of the present application specification and drawings under the technical concept of the present application, or direct / indirect applications in other related technical fields are included in the patent protection scope of the present application.

Claims

1. A method for deploying radar enhancement equipment, characterized in that: The method comprises the following steps: Determine a target area for the deployment of the radar enhancement equipment, and input the target area into a coding model to obtain candidate points for the deployment location; Calculating the signal-to-noise ratio of the candidate points for the layout positions, and screening the candidate points for the layout positions according to the signal-to-noise ratio and the geographic space information to obtain the screened candidate points for the layout positions; The sidelobe effect influence range of the radar enhancement equipment is obtained, and the deployment position target point of the radar enhancement equipment is determined according to the screened deployment position candidate points and the sidelobe effect influence range.

2. The radar enhancement equipment deployment method according to claim 1, characterized in that: The step of calculating the signal-to-noise ratio of the candidate points for the layout positions, and screening the candidate points for the layout positions according to the signal-to-noise ratio and the geographic space information to obtain the screened candidate points for the layout positions comprises: Calculating the signal-to-noise ratio of the candidate points for the layout positions, and screening out intermediate candidate points from the candidate points for the layout positions according to the signal-to-noise ratio and a preset signal-to-noise ratio threshold; The intermediate candidate points are screened based on the geospatial information of the intermediate candidate points to obtain screened layout location candidate points.

3. The radar enhancement equipment deployment method according to claim 2, characterized in that: The step of calculating the signal-to-noise ratio of the candidate points for the layout positions, and selecting intermediate candidate points from the candidate points for the layout positions according to the signal-to-noise ratio and a preset signal-to-noise ratio threshold, comprises: Extracting a mean pixel intensity of the candidate deployment position point, and using the mean pixel intensity as a clutter radar cross-sectional area of ​​the candidate deployment position point; Calculating the main wave radar cross-sectional area of ​​the candidate deployment position point according to the inner diameter size of the radar enhancement device and the radar wave wavelength; Obtaining a signal-to-noise ratio of the candidate deployment position point according to a ratio of the main wave radar scattering cross-sectional area to the clutter radar scattering cross-sectional area; According to the signal-to-noise ratio and a preset signal-to-noise ratio threshold, intermediate candidate points are screened out from the candidate layout position points.

4. The radar enhancement equipment deployment method according to any one of claims 1 to 3, characterized in that: The step of determining the target area for the radar enhancement device deployment location and inputting the target area into the coding model to obtain deployment location candidate points includes: Determine a target area where the radar enhancement equipment is deployed, and obtain a synthetic aperture radar image of the target area; Preprocessing the synthetic aperture radar image to obtain a preprocessed synthetic aperture radar image; A coding model is constructed based on the preprocessed synthetic aperture radar image, and the target area is input into the coding model to obtain candidate points of the deployment position.

5. The radar enhancement equipment deployment method according to any one of claims 1 to 3, characterized in that: The step of obtaining the sidelobe effect influence range of the radar enhancement device and determining the deployment position target point of the radar enhancement device according to the screened deployment position candidate points and the sidelobe effect influence range includes: Calculating the sidelobe intensity and distribution of the radar enhancement device based on the physical characteristics of the radar enhancement device and the incident conditions; Obtaining the sidelobe effect influence range of the radar enhancement device based on the sidelobe intensity and distribution; The target point of the deployment position of the radar enhancement equipment is determined according to the candidate points of the deployment position after screening and the influence range of the sidelobe effect.

6. The radar enhancement equipment deployment method according to any one of claims 1 to 3, characterized in that: After the step of obtaining the sidelobe effect influence range of the radar enhancement device and determining the layout position target point of the radar enhancement device according to the screened layout position candidate points and the sidelobe effect influence range, the method further includes: Calculating an actual radar cross-sectional area of ​​the radar enhancement device located at the target point of the deployment position; Obtaining an actual signal-to-noise ratio of the radar enhancement device according to the actual radar cross-sectional area and the radar cross-sectional area of ​​the target point at the deployment position; Obtaining actual measurement accuracy of the radar enhancement device according to the actual signal-to-noise ratio, pixels of the actual signal-to-noise ratio, and phase noise; When the actual measurement accuracy is greater than the expected measurement accuracy, the layout position target point is adjusted.

7. The radar enhancement equipment deployment method according to claim 6, characterized in that: Before the step of calculating the actual radar cross-sectional area of ​​the radar enhancement device located at the target point of the deployment location, the method further includes: Determining a radar enhancement device with an adaptive setting based on a preset radar cross section; Based on monitoring requirements, the performance of the radar enhancement equipment is verified.

8. The radar enhancement equipment deployment method according to claim 6, characterized in that: When the actual measurement accuracy is greater than the expected measurement accuracy, the step of adjusting the layout position target point includes: When the actual measurement accuracy is greater than the expected measurement accuracy, updating the screened candidate points for layout positions based on actual measurement requirements; The layout location target point is adjusted according to the updated screened layout location candidate point.

9. A radar enhancement equipment deployment device, characterized in that: The radar enhancement equipment deployment device comprises: A candidate point determination module is used to determine a target area for the radar enhancement device deployment location, and input the target area into a coding model to obtain deployment location candidate points; A candidate point screening module, used to calculate the signal-to-noise ratio of the candidate points for the layout position, and screen the candidate points for the layout position according to the signal-to-noise ratio and geographic space information to obtain the screened candidate points for the layout position; The target point determination module is used to obtain the sidelobe effect influence range of the radar enhancement equipment, and determine the deployment position target point of the radar enhancement equipment according to the screened deployment position candidate points and the sidelobe effect influence range.

10. A computer program product, characterized in that The computer program product comprises a radar enhancement equipment deployment program, and when the radar enhancement equipment deployment program is executed by a processor, the radar enhancement equipment deployment method according to any one of claims 1 to 8 is implemented.

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