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Optimization method of mimo radar square array based on pso algorithm

An optimization method and radar technology, applied in the radar field, can solve the problems of high side lobe level and no exploration of two-dimensional linear array optimization.

Active Publication Date: 2019-07-16
NANJING UNIV OF SCI & TECH
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Problems solved by technology

[0005] However, in the prior art, the PSO algorithm and the DE algorithm have not been applied to the optimization of MIMO radar arrays, so the side lobe level is high, and the current research is only optimized for one-dimensional linear arrays, and there is no research on the optimization of two-dimensional linear arrays. Work

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  • Optimization method of mimo radar square array based on pso algorithm
  • Optimization method of mimo radar square array based on pso algorithm
  • Optimization method of mimo radar square array based on pso algorithm

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Embodiment 1

[0106] The present invention is based on the MIMO radar square array optimization method of PSO class algorithm, and concrete steps are as follows:

[0107] Step 1, discretize the matrix, and use a binary vector with constraints to represent the discrete aperture topology;

[0108] In step 2, the binary vector obtained in step 1 is substituted into the MIMO radar pattern formula to establish a one-to-one correspondence with the pattern. The corresponding peak side lobe level PSL can be solved from the direction diagram, so that the PSL can be expressed as a function of the binary vector of the topology, and the corresponding binary optimization problem can be established;

[0109] Step 3, the binary optimization problem obtained in step 2 (the goal is to reduce the PSL) is solved using the PSO algorithm to obtain the optimized array topology, from which the corresponding optimal PSL pattern can be obtained;

[0110] In step 1, the method of discretizing the matrix and using a...

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Abstract

The invention provides a method for arranging and optimizing an MIMO (Multiple Input Multiple Output) radar square array based on a PSO (particle swarm optimization) algorithm. The method comprises the following steps of: step 1, carrying out discretization on a square array, and representing a discrete aperture topology by using a binary vector with a constraint condition; step 2, introducing the binary vector obtained in step 1 into an MIMO radar directional diagram formula to establish a one-to-one corresponding relation with a directional diagram, wherein a PSL (Peak Sidelobe Level) corresponding to the directional diagram can be solved from the directional diagram, thus the PSL is represented as a function of the binary vector of a topological structure and a corresponding binary optimization problem is established; step 3, solving the binary optimization problem (with the purpose of reducing the PSL) obtained in step 2 by using the PSO algorithm to obtain an optimized array topological structure and thus obtain a corresponding optimal PSL directional diagram. Through the PSO algorithm, the PSL of the MIMO radar can be effectively reduced, and thus the optimization design of the MIMO radar square array is achieved.

Description

technical field [0001] The invention belongs to the technical field of radars, in particular to a method for optimizing the square array arrangement of MIMO radars based on PSO algorithms. Background technique [0002] In 2008, Yarovoy's research group published the article "Optimized Design of Ultra-Wideband Antenna Array PSO Algorithm Based on Near-field Imaging" at the Microwave Conference. In order to realize near-field imaging, two special MIMO ultra-wideband arrays are given in this paper, and the PSO algorithm is used to optimize the design so that a trade-off between sufficient lateral distance resolution and appropriate main-side lobe level ratio can be obtained. The simulation results of the research show that by properly optimizing the fitness function, a suitable non-uniform linear array structure can be obtained in different scenarios and the desired trade-off goal is achieved. [0003] Domestically, in 2013, the research team of Shi Ronghua and Zhu Xuanzi from...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F17/50
CPCG16Z99/00
Inventor 顾陈侯云飞李聪羚杨宇鑫洪弘李彧晟朱晓华
Owner NANJING UNIV OF SCI & TECH
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