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Novel planar molecular array antenna array comprehensive arrangement method based on improved genetic algorithm

A technology for improving genetic algorithms and array antennas is applied in the field of comprehensive arrangement of new planar molecular array antenna arrays, which can solve problems such as difficulty in determining whether sub-array elements overlap, local optimization of genetic algorithms, etc. The effect of reducing possibilities and expanding scope

Active Publication Date: 2020-06-30
UNIV OF ELECTRONICS SCI & TECH OF CHINA
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Problems solved by technology

[0006] The purpose of the present invention is to: propose an improved genetic algorithm for the problem that the genetic algorithm is easy to fall into local optimum, and provide a

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  • Novel planar molecular array antenna array comprehensive arrangement method based on improved genetic algorithm
  • Novel planar molecular array antenna array comprehensive arrangement method based on improved genetic algorithm
  • Novel planar molecular array antenna array comprehensive arrangement method based on improved genetic algorithm

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Embodiment

[0035] Step 1. Model building

[0036] Let the antenna array aperture be L x × L y , the total number of grid points in the array is M=M x × M y , the grid points are evenly distributed along the same direction, the total number of array elements is N, and the vertical array element spacing is d y , the horizontal array element spacing is dx , the number of sub-arrays is sub_N, and each sub-array is a rectangular sub-array. In this example, the size of the sub-arrays is specified to be the same and the number of grid points contained is sub_Mx×sub_My. In actual operation, the sizes of each sub-array can also be specified to be different.

[0037] The optimization method inside the sub-array adopts the joint optimization method of all sub-arrays. Therefore, the total number of grid points of the sub-array joint optimization matrix is ​​N×sub_Mx×sub_My, and the side length of the joint optimization matrix can be arbitrarily set without affecting the optimization result. The...

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Abstract

The invention relates to an antenna array arrangement optimization technology, in particular to an optimization arrangement technology of a sub-array-level antenna array. According to the method, an improved genetic algorithm is proposed firstly, compared with the problem that a traditional genetic algorithm is prone to falling into local optimum, the step of underlying global search is added, andthe optimization performance of the genetic algorithm is improved. Besides, for the problem of planar molecular array arrangement, whether sub-arrays are overlapped or not is difficult to judge; theinvention provides a simple and feasible judgment method, the effect of the method in planar molecular array arrangement is verified by adopting an improved genetic algorithm, and compared with a traditional array arrangement method, the new method effectively improves the degree of freedom of subarray distribution and further improves the array arrangement optimization performance.

Description

technical field [0001] The invention belongs to the technical field of antenna array layout optimization, in particular to an optimal array layout method of sub-array-level antenna arrays, in particular to a novel planar molecular array antenna array comprehensive layout method based on an improved genetic algorithm. Background technique [0002] The optimal layout of the antenna array is to determine the shape of the antenna array and the spatial distribution of the elements in it under the given constraints to produce a beam pattern that meets the desired performance index, and the minimum peak sidelobe level is a factor of the antenna performance. Therefore, how to design the array element distribution to obtain the pattern with the lowest peak sidelobe level has become the main problem to be solved. In order to solve this problem, a variety of methods have been proposed for the comprehensive design of antenna array distribution, including dynamic programming, simulated a...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06N3/12H01Q21/00
CPCG06N3/126H01Q21/00
Inventor 谢菊兰郭明宇邓宇昊饶申宇冯雅栋
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
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