Radar transmission line optimization method, device, equipment, medium and product

By deploying and transmission line planning in the radar system according to preset constraints and optimizing the trace, the performance degradation caused by unreasonable deployment of radar transmission line is solved, and more efficient signal transmission and more accurate beamforming are achieved.

CN119918109AActive Publication Date: 2025-05-02GRG INTELLIGENT TECH SOLUTION CO LTD
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Patent Information

Application Number
CN202411948574.1
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-12-27
Publication Date
2025-05-02
Estimated Expiration
2044-12-27

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Abstract

The invention discloses a radar transmission line optimization method and device, equipment, a medium and a product, and relates to the technical field of radar antennae, and the method comprises the steps: carrying out the radar deployment according to a preset constraint condition, and obtaining a radar deployment result; and carrying out transmission route planning based on the radar deployment result to obtain a transmission line path, and carrying out routing optimization on the transmission line path to obtain an optimization result. Therefore, after the radar is deployed according to the constraint condition, the transmission route is planned based on the result of the radar deployment, and the planned transmission line path is subjected to routing optimization to obtain the optimization result, so that the problem that the radar performance is reduced due to unreasonable deployment of the radar transmission line is solved, and the optimization efficiency of the radar transmission line is improved.
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Description

Technical Field

[0001] The present application relates to the field of radar antenna technology, and in particular to a radar transmission line optimization method, device, equipment, medium and product. Background Art

[0002] With the rapid development of radar technology, millimeter-wave radar, due to its high-frequency characteristics and shorter wavelength, can achieve high-resolution target detection and has been widely used in fields such as autonomous driving, security monitoring and communications. One of the key indicators of radar performance is its detection distance, which is restricted by factors such as the radar signal's transmission power, receiving sensitivity and signal loss during transmission. In the actual radar system design, the transmission line path between the antenna and the chip becomes one of the important factors affecting signal loss.

[0003] However, in the actual radar system design, the wiring between the antenna array and the chip and the overall layout design usually rely on manual planning. The traditional design method usually requires hardware engineers to repeatedly simulate the wiring path in the design software, and then optimize the layout through iterative adjustment. This is time-consuming and difficult to ensure the global optimality of the layout. In addition, in complex systems with multiple transmitting channels and multiple receiving channels, the total length of the transmission line and the path detour are more prominent. Too long transmission lines will significantly increase signal attenuation. At the same time, paths that are too close or crossed may cause electromagnetic coupling and signal crosstalk, further limiting the performance of the radar. Not only that, the delay difference of the transmission line may cause phase mismatch between multiple channels, thereby reducing the beamforming accuracy of the antenna array.

[0004] The above contents are only used to assist in understanding the technical solution of the present application and do not constitute an admission that the above contents are prior art. Summary of the invention

[0005] The main purpose of this application is to provide a radar transmission line optimization method, device, equipment, medium and product, aiming to solve the technical problem of radar performance degradation caused by unreasonable deployment of radar transmission lines.

[0006] To achieve the above objectives, the present application proposes a radar transmission line optimization method, the method comprising:

[0007] Perform radar deployment according to preset constraint conditions to obtain radar deployment results;

[0008] Based on the radar deployment result, a transmission route is planned to obtain a transmission line path, and the transmission line path is optimized to obtain an optimization result.

[0009] In one embodiment, the step of performing radar deployment according to preset constraint conditions to obtain radar deployment results includes:

[0010] According to the constraint conditions, array element deployment is performed by using a genetic algorithm to obtain the arrangement position of radar antenna array elements;

[0011] Analyze the radar deployment requirements to obtain the radar layout area and fixed components information;

[0012] Radar deployment is performed according to the radar antenna array element arrangement position, radar layout area, fixed component information and preset radar chip to obtain a radar deployment result.

[0013] In one embodiment, the steps of performing transmission route planning based on the radar deployment result to obtain a transmission line path, and optimizing the transmission line path to obtain the optimization result include:

[0014] Analyze according to the spatial position of the radar chip and the radar antenna array element to obtain the chip offset range of the radar chip, the chip rotation angle and the antenna offset range of the radar antenna array element;

[0015] Performing line planning on the radar antenna array element by using a path planning algorithm to obtain a transmission line path;

[0016] Evaluate the transmission line path by using a preset length threshold to obtain an evaluation result;

[0017] When the evaluation result is failure, the radar antenna array element and the radar chip are repeatedly spatially adjusted and route planned according to the chip offset range, the chip rotation angle and the antenna offset range until a final transmission line path with a passing evaluation result is obtained, thereby obtaining an optimization result.

[0018] In one embodiment, the radar antenna array element arrangement position includes a receiving antenna array element and a transmitting antenna array element, and the step of performing line planning on the radar antenna array element by using a path planning algorithm to obtain a transmission line path includes:

[0019] Matching the receiving channel of the radar chip with the receiving antenna array element through a matching algorithm to obtain a first channel combination;

[0020] Matching the transmit channel of the radar chip with the transmit antenna array element by a matching algorithm to obtain a second channel combination;

[0021] According to the first channel combination and the second channel combination, a transmission line calculation is performed through a path planning algorithm to obtain a transmission line path.

[0022] In one embodiment, the step of matching the receiving channel of the radar chip with the receiving antenna array element by a matching algorithm to obtain a first channel combination includes:

[0023] Acquire first coordinate information of the receiving channel and second coordinate information of the receiving antenna array element;

[0024] Performing cost calculation according to the first coordinate information and the second coordinate information to obtain a distance cost value;

[0025] A cost matrix is ​​constructed by using the distance cost values, and the cost matrix is ​​calculated by using the Hungarian algorithm to obtain a first channel combination.

[0026] In one embodiment, the step of evaluating the transmission line path by a preset length threshold to obtain an evaluation result includes:

[0027] Traversing the transmission line path, recording a first path length of the longest receiving channel in the receiving antenna array element and a second path length of the longest transmitting channel in the transmitting antenna array element;

[0028] Analyzing the sum of the first path length and the second path length according to a preset length threshold;

[0029] If the sum of the first path length and the second path length is lower than the length threshold, outputting the evaluation result as passed;

[0030] If the sum of the first path length and the second path length is higher than the length threshold, the evaluation result is output as failure.

[0031] In addition, to achieve the above-mentioned purpose, the present application also proposes a radar transmission line optimization device, the device comprising:

[0032] A deployment module is used to deploy radars according to preset constraints and obtain radar deployment results;

[0033] The optimization module is used to plan the transmission route based on the radar deployment result, obtain the transmission line path, and optimize the routing of the transmission line path to obtain the optimization result.

[0034] In addition, to achieve the above-mentioned purpose, the present application also proposes a radar transmission line optimization 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 transmission line optimization method described above.

[0035] 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 transmission line optimization method described above are implemented.

[0036] 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 transmission line optimization method described above are implemented.

[0037] One or more technical solutions proposed in this application have at least the following technical effects:

[0038] The radar transmission line optimization method, device, equipment, storage medium and computer program product proposed in the embodiment of the present application are to deploy radar according to preset constraints to obtain radar deployment results; to plan the transmission route based on the radar deployment results to obtain the transmission line path, and to optimize the transmission line path to obtain the optimization result. Therefore, after the radar is deployed according to the constraints, the transmission route is planned based on the result of the radar deployment, and the routing of the planned transmission line path is optimized to obtain the optimization result, which solves the problem of radar performance degradation caused by unreasonable deployment of radar transmission lines and improves the efficiency of radar transmission line optimization. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] 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.

[0040] 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.

[0041] Figure 1 A schematic diagram of a flow chart provided for Embodiment 1 of the radar transmission line optimization method of the present application;

[0042] Figure 2 A schematic diagram of a flow chart provided for Embodiment 2 of the radar transmission line optimization method of the present application;

[0043] Figure 3 A schematic diagram of the visualization of unequal length paths involved in the radar transmission line optimization method for this application;

[0044] Figure 4 A schematic diagram of a brief flow chart of a radar transmission line optimization method provided in Example 2 of the present application;

[0045] Figure 5 This is a schematic diagram of the module structure of the radar transmission line optimization device according to an embodiment of the present application;

[0046] Figure 6Schematic diagram of the device structure of the hardware operating environment involved in the radar transmission line optimization method in the embodiment of the present application.

[0047] 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

[0048] 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.

[0049] 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.

[0050] The main solution of the embodiment of the present application is: according to the constraint conditions, the array element is deployed by genetic algorithm to obtain the arrangement position of the radar antenna array element; based on the radar deployment requirements, the radar layout area and fixed component information are analyzed; according to the radar antenna array element arrangement position, radar layout area, fixed component information and preset radar chip, the radar is deployed to obtain the radar deployment result. According to the spatial position of the radar chip and the radar antenna array element, the chip offset range, chip rotation angle and antenna offset range of the radar chip are analyzed; the radar antenna array element is line planned by the path planning algorithm to obtain the transmission line path; the transmission line path is evaluated by the preset length threshold to obtain the evaluation result; if the evaluation result is not passed, the radar antenna array element and the radar chip are repeatedly adjusted in space and route planned according to the chip offset range, chip rotation angle and antenna offset range until the final transmission line path with the evaluation result of passing is obtained, and the optimization result is obtained. The receiving channel of the radar chip is matched with the receiving antenna array element by a matching algorithm to obtain a first channel combination; the transmitting channel of the radar chip is matched with the transmitting antenna array element by a matching algorithm to obtain a second channel combination; according to the first channel combination and the second channel combination, the transmission line is calculated by a path planning algorithm to obtain a transmission line path. The first coordinate information of the receiving channel and the second coordinate information of the receiving antenna array element are obtained; the cost is calculated according to the first coordinate information and the second coordinate information to obtain a distance cost value; the cost matrix is ​​constructed by the distance cost value, and the cost matrix is ​​calculated by the Hungarian algorithm to obtain the first channel combination. The transmission line path is traversed to record the first path length of the longest receiving channel in the receiving antenna array element and the second path length of the longest transmitting channel in the transmitting antenna array element; the sum of the first path length and the second path length is analyzed according to a preset length threshold; if the sum of the first path length and the second path length is lower than the length threshold, the evaluation result is output as passed; if the sum of the first path length and the second path length is higher than the length threshold, the evaluation result is output as failed. Thus, the problem of radar performance degradation caused by unreasonable deployment of radar transmission lines is solved, the radar transmission lines are optimized, and the efficiency of radar transmission line optimization is improved. Based on the scheme of the present invention, a radar transmission line optimization method is designed based on the problem that the wiring between the antenna array and the chip and the overall layout design usually rely on manual planning, which is not accurate and inefficient. The effectiveness of the radar transmission line optimization method of the present invention is verified when the radar transmission line is optimized. Finally, the efficiency of radar transmission line optimization performed by the method of the present invention is significantly improved.

[0051] In this embodiment, for the convenience of description, the radar transmission line optimization device is used as the execution subject for explanation below.

[0052] Since the wiring between the antenna array and the chip and the overall layout design in the prior art usually rely on manual planning, the traditional design method usually requires hardware engineers to repeatedly simulate the wiring path in the design software, and then optimize the layout through iterative adjustment, which is time-consuming and difficult to ensure the global optimality of the layout. In a complex system with multiple transmitting channels and multiple receiving channels, the total length of the transmission line and the path detour problem are more prominent. A transmission line that is too long will significantly increase the signal attenuation. At the same time, paths that are too close or crossed may cause electromagnetic coupling and signal crosstalk, further limiting the performance of the radar. In addition, the delay difference of the transmission line may cause phase mismatch between multiple channels, thereby reducing the beamforming accuracy of the antenna array and affecting the performance of the radar.

[0053] The present application provides a solution to deploy radars according to preset constraints to obtain radar deployment results. At the same time, while planning the transmission line of the radar, the routing of the transmission line path is optimized to obtain optimization results, thereby providing users with better services.

[0054] From the above embodiments, it can be seen that the present application obtains radar deployment results by performing radar deployment according to preset constraints; performs transmission route planning based on the radar deployment results to obtain transmission line paths, and performs routing optimization on the transmission line paths to obtain optimization results. Therefore, after the radar is deployed according to the constraints, the transmission route is planned based on the results of the radar deployment, and the routing optimization is performed on the planned transmission line paths to obtain optimization results, which solves the problem of radar performance degradation caused by unreasonable deployment of radar transmission lines and improves the efficiency of radar transmission line optimization.

[0055] It should be noted that the execution subject of this embodiment can 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 transmission line optimization device, etc. The following takes the radar transmission line optimization device as an example to illustrate this embodiment and the following embodiments.

[0056] Based on this, the embodiment of the present application provides a radar transmission line optimization method, referring to Figure 1 , Figure 1 This is a flow chart of the first embodiment of the radar transmission line optimization method of the present application.

[0057] In this embodiment, the radar transmission line optimization method includes steps S01 to S02:

[0058] Step S01, performing radar deployment according to preset constraint conditions to obtain radar deployment results;

[0059] It should be clear that the radar transmission line optimization method in this embodiment is mainly aimed at millimeter wave radar. In the prior art, millimeter wave radar can achieve high-resolution target detection due to its high frequency band characteristics and shorter wavelength, and has been widely used in the fields of autonomous driving, security monitoring and communication. One of the key indicators of radar performance is its detection distance, and the detection distance is restricted by factors such as the transmission power, receiving sensitivity and loss of the radar signal during transmission. In the actual radar system design, the transmission line path between the antenna and the chip becomes one of the important factors affecting the signal loss.

[0060] However, in the actual radar system design, the wiring between the antenna array and the chip and the overall layout design usually rely on manual planning. The traditional design method usually requires hardware engineers to repeatedly simulate the wiring path in the design software, and then optimize the layout through iterative adjustment. This is time-consuming and difficult to ensure the global optimality of the layout. In addition, in complex systems with multiple transmitting channels and multiple receiving channels, the total length of the transmission line and the path detour are more prominent. Too long transmission lines will significantly increase signal attenuation. At the same time, paths that are too close or crossed may cause electromagnetic coupling and signal crosstalk, further limiting the performance of the radar. Not only that, the delay difference of the transmission line may cause phase mismatch between multiple channels, thereby reducing the beamforming accuracy of the antenna array.

[0061] Therefore, in this embodiment, in order to optimize the radar transmission line, the radar is deployed preferentially through preset constraints to obtain the radar deployment result, wherein the constraints are usually conditions to ensure the effective operation of the radar system, maximize the coverage, and minimize the cost or interference. The specific constraints depend on the objectives and environmental requirements of the radar deployment. Common radar deployment constraints include: coverage constraints, minimum / maximum radar spacing constraints, obstacle avoidance constraints, and communication and data transmission constraints. By deploying the radar through these constraints, the actual use effect of the radar can be more in line with business needs.

[0062] Step S02: performing transmission route planning based on the radar deployment result to obtain a transmission line path, and performing routing optimization on the transmission line path to obtain an optimization result.

[0063] The deployment result of millimeter-wave radar is not just the installation of the radar itself. It is a comprehensive solution that covers multiple aspects such as radar layout, performance, environmental adaptability, cost control, regulatory compliance, application requirements, etc. Successful millimeter-wave radar deployment can ensure the reliability, real-time and efficiency of the system and meet the task requirements in specific fields. However, in actual millimeter-wave radar deployment, the wiring between the antenna array and the chip and the overall layout design usually rely on manual planning. There may be too long transmission lines, which will significantly increase signal attenuation. At the same time, paths that are too close or crossed may cause electromagnetic coupling and signal crosstalk, further limiting the performance of the radar. Therefore, in this embodiment, the transmission path planning is performed based on the previously obtained radar deployment results to obtain the transmission line path, and then the radar routing is optimized for the transmission line path to obtain the optimization result.

[0064] Specifically, in the above step S01, the step of performing radar deployment according to preset constraint conditions and obtaining the radar deployment result includes:

[0065] Step S011, performing array element deployment by genetic algorithm according to the constraint conditions to obtain the radar antenna array element arrangement position;

[0066] Step S012, analyzing based on radar deployment requirements to obtain radar layout area and fixed component information;

[0067] Step S013, performing radar deployment according to the radar antenna array element arrangement position, radar layout area, fixed component information and preset radar chip to obtain a radar deployment result.

[0068] A genetic algorithm is used to arrange the array element positions of the receiving antenna and the transmitting antenna according to preset constraints to obtain an array element position arrangement with low side lobes and excellent resolution;

[0069] For radar systems, the optimization of array layout mainly involves several important goals and constraints:

[0070] (1) Low Sidelobe: Sidelobe refers to the beam distribution outside the main beam. Lower sidelobe helps reduce the impact of interference and clutter and improves the system's target recognition capability.

[0071] (2) High Resolution: The resolution of the array is closely related to the arrangement of array elements. Reasonable arrangement of array element positions helps to improve the angular resolution, thereby improving the radar's target detection capability.

[0072] (3) Array element spacing limitation: To avoid aliasing, the array element spacing usually needs to meet certain physical limitations. The most common limitation is that the maximum spacing does not exceed half the wavelength.

[0073] (4) Array structure limitation: Depending on the requirements of the radar system, the array structure can be a linear array, a planar array, or a circular array. The specific structure selected will affect the distribution of array elements.

[0074] After clarifying the above objectives and constraints, the population can be iteratively evolved through operations such as selection, crossover and mutation through genetic algorithms to gradually optimize the array layout. In this embodiment, the purpose of the selection operation is to select individuals with higher fitness from the current population to generate the next generation. Common selection methods include roulette selection (selecting individuals with higher probability for reproduction according to the size of the fitness value) and tournament selection (selecting the individual with the best fitness from several randomly selected individuals);

[0075] Then, a crossover operation is performed, that is, a new individual is generated by exchanging some genes of two individuals. Common crossover operations include single-point crossover (cutting the gene sequence at a certain position and then exchanging the two parts of the gene) and multi-point crossover (cutting and exchanging the gene at multiple positions). For the optimization of antenna arrays, the positions of array elements or the arrangement of the array can be exchanged through crossover operations to explore new array layouts.

[0076] The mutation operation can randomly change a part of the individual's genes to help the algorithm jump out of the local optimal solution. Common mutation operations include position mutation (randomly changing the coordinates of a certain array element) and structural mutation (adjusting the overall layout structure of the array, such as changing the array type (from linear array to planar array) or adjusting the spacing between array elements).

[0077] After the selection, crossover and mutation operations, new offspring individuals are generated, and the new generation of individuals can be added to the population through replacement operations. The replacement can be achieved by using the elite strategy (keeping the best individuals (with the best fitness) unchanged and directly adding them to the next generation of population) and the rotation strategy (replacing the new individuals with the individuals in the current population);

[0078] Finally, the genetic algorithm usually terminates when the preset maximum number of iterations is reached, the fitness function changes little between multiple generations, the algorithm converges, or the predetermined optimal target solution is reached. At this time, the radar antenna array element can be obtained;

[0079] After obtaining the radar antenna array elements, according to the actual needs of the radar system, the spatial coordinates and influence range of the fixed components in the layout area are set, and they are defined as obstacles in path planning. The transmission lines need to avoid these obstacles, and at the same time, it is necessary to ensure that the distance between any two transmission lines is not less than the set minimum safety distance to avoid electromagnetic coupling and signal crosstalk. In addition, constraints on the antenna array element spacing are required to meet the requirements of antenna performance optimization. The spacing between the antenna receiving array element and the transmitting array element is determined by the genetic algorithm. Most of the array elements cannot move independently. The translation of the array element needs to be moved as a whole in the direction of the constraint, and the movement interval is an integer multiple of half a wavelength. At this time, after determining the radar antenna array elements, radar layout area, fixed component information and preset radar chips, the corresponding radar deployment can be carried out to obtain the radar deployment results. Among them, the radar chip (Radar Chip) is a key component used in radar systems, responsible for functions such as signal transmission, reception, processing and analysis. With the development of microelectronics technology, radio frequency technology and integrated circuit technology, modern radar systems are increasingly dependent on highly integrated and miniaturized radar chips. Radar chips usually integrate multiple functions of radar signals, such as signal generation, modulation and demodulation, gain control, digital signal processing, etc., and are widely used in military, civil, automotive, unmanned driving, security, weather detection and other fields. The radar chip in this embodiment refers to a radar chip used for automobiles, which is assembled in a radar system to provide positioning and detection functions for the vehicle.

[0080] In this embodiment, based on the preset constraints, array element deployment is performed through a genetic algorithm to obtain radar antenna array elements, and the radar layout area and fixed components are set according to actual usage requirements, thereby obtaining a more reasonable radar deployment result, which provides good conditions for subsequent radar routing optimization.

[0081] More specifically, in the above step S02, the transmission route is planned based on the radar deployment result to obtain the transmission line path, and the routing of the transmission line path is optimized. The steps of obtaining the optimization result include:

[0082] Step S021, analyzing according to the spatial positions of the radar chip and the radar antenna array element to obtain a chip offset range of the radar chip, a chip rotation angle, and an antenna offset range of the radar antenna array element;

[0083] Step S022, performing line planning on the radar antenna array element by using a path planning algorithm to obtain a transmission line path;

[0084] Step S023, evaluating the transmission line path by a preset length threshold to obtain an evaluation result;

[0085] Step S024, when the evaluation result is not passed, the radar antenna array element and the radar chip are repeatedly spatially adjusted and route planned according to the chip offset range, the chip rotation angle and the antenna offset range until the final transmission line path with a passed evaluation result is obtained, thereby obtaining an optimization result.

[0086] Since the offset and rotation angle between the antenna and the chip directly affect the length of the transmission line and the overall compactness of the layout, it is necessary to accurately adjust the spatial position relationship between the antenna array and the chip to optimize the initial conditions of path planning. First, define the offset direction of the antenna array in the layout space, such as the horizontal direction (x-axis) and the vertical direction (y-axis), or the degree of freedom based on the actual application environment;

[0087] The offset of the antenna array should satisfy the translation distance of an integer multiple of half a wavelength, and the offset range should be within the allowable area of ​​the layout space. The offset setting of the chip needs to consider its overall positional relationship with the antenna array, as well as the influence of surrounding fixed components (obstacles). The offset range of the chip is limited by the boundary conditions of the physical layout, and the rotation angle setting of the chip is mainly for the channel pin direction in the chip. In addition to the initial offset and initial rotation angle, the subsequent offset and rotation angle settings need to be adjusted according to the feedback results of path planning to improve the efficiency of optimization.

[0088] Then, the path planning algorithm can be used to plan the path, obtain the transmission line path, and evaluate the transmission line path to obtain the evaluation result of the transmission line path;

[0089] In the above evaluation results, there may be cases where the evaluation fails, so in this case, the path needs to be optimized, specifically:

[0090] (1) Spatial adjustment: spatial adjustment is performed based on the evaluation results, especially parameters such as chip offset range, chip rotation angle, and antenna offset range. These adjustments usually include: chip offset (adjusting the position of the radar chip in space, which may be offset along a certain axis (X, Y, Z axis) to optimize the signal transmission or reception path), chip rotation angle (changing the angle of the radar chip, usually rotating around the center point of the chip to change its relative angle with the antenna array element to optimize the signal transmission or reception path), and antenna array element offset (adjusting the position of each array element in the antenna array to optimize the signal transmission or reception path);

[0091] (2) Route planning: replanning the signal transmission path according to the new position and angle after spatial adjustment, and optimizing the circuit path between the signal from the radar chip to the antenna array element to ensure the optimal propagation efficiency and minimum loss of the signal. This may involve the optimization of the transmission line (including the layout design of microstrip lines, strip lines, etc., to ensure that the transmission of electrical signals minimizes loss and interference) and the optimization of the antenna array (adjusting the geometric shape and electrical characteristics of the antenna array to enhance the quality of signal reception and transmission). In this embodiment, the improved A * The algorithm calculates the reference path of the transmission line;

[0092] (3) Repeated evaluation and adjustment: After completing the initial spatial adjustment and route planning, re-evaluation is performed to check whether the new transmission path meets the design goals. If the evaluation result is still not passed, the layout of the chip and antenna needs to be adjusted based on the feedback, which may require multiple iterative adjustments.

[0093] Until the transmission line path that passes the evaluation is finally obtained, it is ensured that the radar system meets the performance requirements and can work efficiently. The final transmission line path should be able to provide optimized signal transmission to ensure the best working state of the radar system. It should be clear that the key optimization goals in this embodiment include signal transmission efficiency (ensuring that the path loss of the signal from the radar chip to the antenna array element is minimized and the signal quality is not subject to unnecessary interference), antenna performance optimization (by adjusting the angle and position of the antenna array, the array's directivity, gain and detection capability of the target are improved) and system integration and reliability (the optimized chip and antenna layout should ensure the efficient operation of the system, while avoiding signal interference and hardware failures, and ensuring long-term stability).

[0094] In this embodiment, the path extension algorithm can be used to adjust the part of the generated path, and a new path point can be dynamically inserted to increase the path length by using the backtracking and path replacement methods. The specific steps of adjusting the part of the generated path by the path extension algorithm in this embodiment are as follows:

[0095] First, the step size of the extended path is set to a fixed value (e.g., 2 grid cells) to generate new candidate points and define candidate directions, including 4 diagonal points and dynamic generation through angle rotation to determine the direction of new path points;

[0096] Then, record the points that have been visited to avoid repeated visits to existing points on the path during the expansion process, select one of the path points P as the starting point for expansion, and generate candidate points according to the following rules: Starting from point P, generate new candidate points according to the preset candidate direction, and then filter the candidate points to ensure that the candidate points are within the grid range, determine whether the candidate points overlap with obstacles, and use line segment intersection tests to ensure that the newly added path segments do not intersect with the existing paths.

[0097] After filtering, candidate points in multiple directions are obtained, and the candidate points are sorted according to the heuristic distance. The candidate points farther from the starting point are selected first. A legal point is selected from the candidate points to replace the original point in the current path segment. The total length of the adjusted path is recalculated to check whether the target length is reached. If the current path length still does not meet the target length, the other segments of the path are continued to be extended. If the other segments still do not reach the target length after extension, backtracking is performed.

[0098] Go back to the last path extension point, change the extension direction of this path extension point, and re-extend the path until the path length meets the target length. If the extension of all candidate directions cannot meet the target length, a prompt indicating that the path extension failed is returned.

[0099] Finally, this embodiment will output the position coordinates of all antennas, chips and related components, as well as the node coordinates of each transmission line path and the path visualization diagram of the transmission line, so that engineers can quickly understand the optimization results and provide an accurate reference for hardware wiring. The visualization diagram of unequal length paths is as follows: Figure 3 As shown, the rectangle marked tx is the transmitting antenna, the rectangle marked rx is the receiving antenna, the rectangle with chicp is the chip, and chicp_x is the receiving or transmitting channel of the chip. After the genetic algorithm arranges the array elements and the antenna transmission line routing is evaluated and optimized based on path planning, the sum of the longest receiving transmission line length and the longest transmitting transmission line length is reduced from 167mm before optimization to 88mm, effectively reducing the loss of excessively long transmission lines.

[0100] This embodiment adopts the above scheme, specifically by deploying radar according to preset constraints to obtain radar deployment results; based on the radar deployment results, transmission route planning is performed to obtain transmission line paths, and the transmission line paths are optimized to obtain optimization results. Therefore, after the radar is deployed according to the constraints, the transmission route is planned based on the radar deployment results, and the planned transmission line paths are optimized to obtain optimization results, which solves the problem of radar performance degradation caused by unreasonable deployment of radar transmission lines and improves the efficiency of radar transmission line optimization.

[0101] 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 In step S022, in which a path planning algorithm is used to plan the line of the radar antenna array element to obtain a transmission line path, the method further includes steps S0221 to S0223:

[0102] Step S0221, matching the receiving channel of the radar chip with the receiving antenna array element through a matching algorithm to obtain a first channel combination;

[0103] Step S0222, matching the transmit channel of the radar chip with the transmit antenna array element through a matching algorithm to obtain a second channel combination;

[0104] Step S0223: According to the first channel combination and the second channel combination, a transmission line calculation is performed by a path planning algorithm to obtain a transmission line path.

[0105] A matching algorithm is used to match the receiving antenna array element and the chip receiving channel, and then to match the transmitting antenna array element and the chip transmitting channel. The matching algorithm is to find the globally optimal combination of array elements and channels, and respectively find the chip receiving channel corresponding to each receiving antenna array element and the chip transmitting channel corresponding to each transmitting antenna array element. The purpose is to achieve a shorter transmission line length. The final output result of the matching algorithm is: the optimal matching chip receiving channel index for each receiving antenna array element.

[0106] Taking the receiving antenna array element as an example, the corresponding chip receiving channel is obtained by the matching algorithm and the improved A is used. * The algorithm calculates the reference path of the transmission line (ie, the transmission line path in this embodiment):

[0107] Grid the layout space between the antenna and the chip and construct a heuristic evaluation function f(n) =

[0108] g(n)+h(n), where g(n) is the actual path length of the current node and h(n) is the estimated distance from the current node to the target point;

[0109] When expanding the path, the shorter path is given priority, and then the compliance of the selected node is judged. If the selected node falls within the influence range of the obstacle or the distance from other existing paths is less than the minimum safety distance, the node is not compliant and other paths need to be expanded. Shorter and compliant nodes are given priority. Path expansion in eight directions (up, down, left, right, upper left, upper right, lower left, and lower right) is supported to improve the flexibility of path planning.

[0110] Finally, the planned transmission line path and path length information are output for subsequent evaluation.

[0111] Specifically, in the above step S0221, the step of matching the receiving channel of the radar chip with the receiving antenna array element through a matching algorithm to obtain a first channel combination includes:

[0112] Step S02211, obtaining first coordinate information of the receiving channel and second coordinate information of the receiving antenna array element;

[0113] Step S02212, performing cost calculation according to the first coordinate information and the second coordinate information to obtain a distance cost value;

[0114] Step S02213: construct a cost matrix using the distance cost values, and calculate the cost matrix using the Hungarian algorithm to obtain a first channel combination.

[0115] This embodiment takes the matching of the receiving antenna array element and the chip receiving channel as an example, and the matching steps are specifically as follows:

[0116] First, obtain the coordinates of the receiving antenna array element and the chip receiving channel, use them as two groups of nodes, and calculate the distance between any receiving antenna array element and a chip receiving channel as the cost value. The specific formula is:

[0117]

[0118] Among them, (x i ,y i ) is the coordinate of the receiving antenna element i, (x j ,y j ) is the coordinate of chip receiving channel j, and all the calculated cost values ​​are filled into the cost matrix C. The rows of the matrix represent receiving antenna array elements and the columns represent chip receiving channels. For some preferred matching combinations of receiving antenna array elements and chip receiving channels (for example, specifying that some receiving array elements are more suitable for connecting some chip receiving channels through transmission lines), the values ​​of the corresponding positions in the cost matrix are set to minimum values. For example, if the preferred combination is (i, j), C[i][j] is set to a smaller value to ensure that these combinations are selected first during the matching process.

[0119] More specifically, in step S023 of the above embodiment, the step of evaluating the transmission line path by a preset length threshold and obtaining the evaluation result includes:

[0120] Step S0231, traversing the transmission line path, recording a first path length of the longest receiving channel in the receiving antenna array element and a second path length of the longest transmitting channel in the transmitting antenna array element;

[0121] Step S0232, analyzing the sum of the first path length and the second path length according to a preset length threshold;

[0122] Step S0233: if the sum of the first path length and the second path length is lower than the length threshold, outputting the evaluation result as passed;

[0123] Step S0234: if the sum of the first path length and the second path length is higher than the length threshold, output the evaluation result as failed.

[0124] After obtaining the specific transmission line path, traverse the transmission lines of each transmitting channel and receiving channel, record the path lengths of the longest transmitting channel and the longest receiving channel transmission lines, and calculate the sum of the two. If the sum of the two paths is not less than the preset threshold, re-set the antenna offset, chip offset and rotation angle. The main goal of the optimization setting is to reduce the transmission line lengths of the longest transmitting channel and the longest receiving channel. If the sum of the two paths is less than the preset threshold, the layout optimization ends. If the wiring needs to adopt an equal length solution, the shorter transmission line path will be additionally extended after the wiring optimization ends. The length of all transmitting channel transmission line paths that are less than the length of the longest transmitting channel transmission line will be extended until all path lengths are similar. Similarly, the same operation is performed on the receiving channel transmission line path.

[0125] This embodiment uses the above scheme to match the receiving channel of the radar chip with the receiving antenna array element through a matching algorithm to obtain a first channel combination; matches the transmitting channel of the radar chip with the transmitting antenna array element through a matching algorithm to obtain a second channel combination; and calculates the transmission line through a path planning algorithm based on the first channel combination and the second channel combination to obtain a transmission line path. Therefore, after the radar is deployed through constraint conditions, the transmission route is planned based on the result of the radar deployment, and the planned transmission line path is optimized to obtain an optimization result, which solves the problem of radar performance degradation caused by unreasonable deployment of radar transmission lines and improves the efficiency of radar transmission line optimization.

[0126] For example, to help understand the implementation process of the radar transmission line optimization method obtained by combining this embodiment with the above-mentioned embodiment 1, please refer to Figure 4 , Figure 4 A brief flow chart of a radar transmission line optimization method is provided, specifically:

[0127] Firstly, a genetic algorithm is used to arrange the array element positions of the receiving antenna and the transmitting antenna according to the preset constraints to obtain an array element position arrangement with low side lobes and excellent resolution.

[0128] Then, according to the actual needs of the radar system, the spatial coordinates and influence range of the fixed components in the layout area are set, and they are defined as obstacles in path planning. It is also necessary to set constraints on the spacing between antenna elements to meet the requirements of antenna performance optimization.

[0129] Then, the spatial position relationship between the antenna array and the chip is precisely adjusted to optimize the initial conditions of path planning and define the offset direction of the antenna array in the layout space. The offset setting of the chip needs to consider its overall position relationship with the antenna array and the influence of surrounding fixed components (obstacles). The offset range of the chip is limited by the boundary conditions of the physical layout, and the rotation angle setting of the chip is mainly for the channel pin direction in the chip.

[0130] Then, the matching algorithm is used to match the receiving antenna array element and the chip receiving channel, and then the transmitting antenna array element and the chip transmitting channel are matched. After obtaining the corresponding chip receiving channel, the improved A * The algorithm calculates the reference path of the transmission line;

[0131] Finally, traverse the transmission lines of each transmitting channel and receiving channel, record the path lengths of the longest transmitting channel and the longest receiving channel transmission lines, and calculate the sum. If the sum of the two paths is not less than the preset threshold, further optimize the routing until the required usage effect is met.

[0132] 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 transmission line optimization method of the present application. More simple transformations based on this technical concept are all within the scope of protection of the present application.

[0133] This application also provides a radar transmission line optimization device, please refer to Figure 5 , the device comprises:

[0134] A deployment module 10 is used to perform radar deployment according to preset constraints and obtain radar deployment results;

[0135] The optimization module 20 is used to plan the transmission route based on the radar deployment result, obtain the transmission line path, and optimize the routing of the transmission line path to obtain the optimization result.

[0136] The radar transmission line optimization device provided by the present application adopts the radar transmission line optimization method in the above embodiment, which can solve the technical problem that the unreasonable deployment of the radar transmission line leads to the degradation of radar performance. Compared with the prior art, the beneficial effects of the radar transmission line optimization device provided by the present application are the same as the beneficial effects of the radar transmission line optimization method provided by the above embodiment, and the other technical features in the radar transmission line optimization device are the same as the features disclosed in the above embodiment method, which will not be repeated here.

[0137] The present application provides a radar transmission line optimization 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 transmission line optimization method in the above-mentioned embodiment 1.

[0138] Reference below Figure 6 , which shows a schematic diagram of the structure of a radar transmission line optimization device suitable for implementing the embodiment of the present application. The radar transmission line optimization 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 Descriptions), PMPs (Portable Media Players), vehicle-mounted terminals (such as vehicle-mounted navigation terminals), etc., and fixed terminals such as digital TVs, desktop computers, etc. Figure 6 The radar transmission line optimization device shown is merely an example and should not bring any limitation to the functions and scope of use of the embodiments of the present application.

[0139] like Figure 6As shown, the radar transmission line optimization 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. In RAM1004, various programs and data required for the operation of the radar transmission line optimization device are also stored. The processing device 1001, ROM1002 and RAM1004 are connected to each other through a bus 1005. An input / output (I / O) interface 1006 is also connected to the bus. Generally, the following systems can be connected to the I / O interface 1006: an input device 1007 including, for example, a touch screen, a touch pad, a keyboard, a mouse, an image sensor, a microphone, an accelerometer, a gyroscope, etc.; an output device 1008 including, for example, a liquid crystal display (LCD: Liquid Crystal Display), a speaker, a vibrator, etc.; a storage device 1003 including, for example, a magnetic tape, a hard disk, etc.; and a communication device 1009. The communication device 1009 can allow the radar transmission line optimization device to communicate with other devices wirelessly or by wire to exchange data. Although the radar transmission line optimization 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 can be implemented or have alternatively.

[0140] 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.

[0141] The radar transmission line optimization device provided by the present application adopts the radar transmission line optimization method in the above embodiment, which can solve the technical problem that the unreasonable deployment of the radar transmission line leads to the degradation of radar performance. Compared with the prior art, the beneficial effects of the radar transmission line optimization device provided by the present application are the same as the beneficial effects of the radar transmission line optimization method provided by the above embodiment, and the other technical features in the radar transmission line optimization device are the same as the features disclosed in the method of the previous embodiment, which will not be repeated here.

[0142] 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.

[0143] 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.

[0144] 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 transmission line optimization method in the above-mentioned embodiment.

[0145] 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.

[0146] The computer-readable storage medium may be included in the radar transmission line optimization device; or may exist independently without being assembled into the radar transmission line optimization device.

[0147] The computer-readable storage medium carries one or more programs. When the one or more programs are executed by the radar transmission line optimization device, the radar transmission line optimization device: deploys radar according to preset constraints to obtain radar deployment results; plans the transmission route based on the radar deployment results to obtain the transmission line path, and optimizes the routing of the transmission line path to obtain the optimization result.

[0148] 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).

[0149] 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.

[0150] 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.

[0151] 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 transmission line optimization method, and can solve the technical problem that the unreasonable deployment of radar transmission lines leads to the degradation of radar performance. 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 transmission line optimization method provided by the above-mentioned embodiment, and will not be repeated here.

[0152] The present application also provides a computer program product, including a computer program, which implements the steps of the radar transmission line optimization method as described above when executed by a processor.

[0153] The computer program product provided by the present application can solve the technical problem that the unreasonable deployment of radar transmission lines leads to the degradation of radar performance. 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 transmission line optimization method provided by the above embodiment, which will not be repeated here.

[0154] 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 radar transmission line optimization method, characterized in that: The method comprises: Perform radar deployment according to preset constraint conditions to obtain radar deployment results; Based on the radar deployment result, a transmission route is planned to obtain a transmission line path, and the transmission line path is optimized to obtain an optimization result.

2. The method according to claim 1, characterized in that The step of performing radar deployment according to the preset constraint conditions to obtain the radar deployment result comprises: According to the constraint conditions, array element deployment is performed by using a genetic algorithm to obtain the arrangement position of radar antenna array elements; Analyze the radar deployment requirements to obtain the radar layout area and fixed components information; Radar deployment is performed according to the radar antenna array element arrangement position, radar layout area, fixed component information and preset radar chip to obtain a radar deployment result.

3. The method according to claim 2, characterized in that The steps of performing transmission route planning based on the radar deployment result, obtaining a transmission line path, and optimizing the transmission line path to obtain the optimization result include: Analyze according to the spatial position of the radar chip and the radar antenna array element to obtain the chip offset range of the radar chip, the chip rotation angle and the antenna offset range of the radar antenna array element; Performing line planning on the radar antenna array element by using a path planning algorithm to obtain a transmission line path; Evaluate the transmission line path by using a preset length threshold to obtain an evaluation result; When the evaluation result is failure, the radar antenna array element and the radar chip are repeatedly spatially adjusted and route planned according to the chip offset range, the chip rotation angle and the antenna offset range until a final transmission line path with a passing evaluation result is obtained, thereby obtaining an optimization result.

4. The method according to claim 3, characterized in that The radar antenna array element arrangement position includes a receiving antenna array element and a transmitting antenna array element, and the step of performing line planning on the radar antenna array element by using a path planning algorithm to obtain a transmission line path includes: Matching the receiving channel of the radar chip with the receiving antenna array element through a matching algorithm to obtain a first channel combination; Matching the transmit channel of the radar chip with the transmit antenna array element by a matching algorithm to obtain a second channel combination; According to the first channel combination and the second channel combination, a transmission line calculation is performed through a path planning algorithm to obtain a transmission line path.

5. The method according to claim 4, characterized in that The step of matching the receiving channel of the radar chip with the receiving antenna array element by a matching algorithm to obtain a first channel combination includes: Acquire first coordinate information of the receiving channel and second coordinate information of the receiving antenna array element; Performing cost calculation according to the first coordinate information and the second coordinate information to obtain a distance cost value; A cost matrix is ​​constructed by using the distance cost values, and the cost matrix is ​​calculated by using the Hungarian algorithm to obtain a first channel combination.

6. The method according to claim 3, characterized in that The step of evaluating the transmission line path by a preset length threshold to obtain an evaluation result comprises: Traversing the transmission line path, recording a first path length of the longest receiving channel in the receiving antenna array element and a second path length of the longest transmitting channel in the transmitting antenna array element; Analyzing the sum of the first path length and the second path length according to a preset length threshold; If the sum of the first path length and the second path length is lower than the length threshold, outputting the evaluation result as passed; If the sum of the first path length and the second path length is higher than the length threshold, the evaluation result is output as failure.

7. A radar transmission line optimization device, characterized in that: The device comprises: A deployment module is used to deploy radars according to preset constraints and obtain radar deployment results; The optimization module is used to plan the transmission route based on the radar deployment result, obtain the transmission line path, and optimize the routing of the transmission line path to obtain the optimization result.

8. A radar transmission line optimization device, characterized in that: The device comprises: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the computer program is configured to implement the steps of the radar transmission line optimization method according to any one of claims 1 to 6.

9. A storage medium, characterized in that: The storage medium 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 transmission line optimization method according to any one of claims 1 to 6 are implemented.

10. A computer program product, characterized in that The computer program product comprises a computer program, and when the computer program is executed by a processor, the steps of the radar transmission line optimization method according to any one of claims 1 to 6 are implemented.

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