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synthesis of distributed array Consisting of Two Subarrays via Hybrid Method of Differential Evolution Optimization and Convex Optimization

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IEEE ANTENNAS AND WIRELESS PROPAGATION LETTERS 2021年第2期20卷 125-129页

作者： Fang, Shutao Li, Weiming Xue, Zhenghui Ren, Wu Beijing Inst Technol Beijing 100081 Peoples R China Beijing Inst Technol Sch Informat & Elect Beijing 100081 Peoples R China Beijing Inst Technol EMC & Microwave Syst Lab Beijing 100081 Peoples R China

In this letter, we present a hybrid optimization method for the synthesis of distributed array consisting of two identical subarrays, which is mainly used on aeroplanes as the front end of communication system, aiming to lower the grating lobe level as much as possible. The proposed method is on the basis of a combination of differential evolution optimization and weighted l(1) convex optimization. In the procedure of optimization, a hybrid method of optimization is proposed to optimize element positions and excitations to obtain the optimum performance, while multiple constraints are adopted to satisfy the application requirements. Numerical comparisons between different values of parameters are presented to assess the effectiveness of the proposed optimization method, showing the best result of optimization possibly obtained with different parameters.

关键词： Convex optimization differential evolution algorithm distributed array synthesis grating lobe suppression

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Design and Analysis of Multi-Mode distributed array with Hybrid Optimization Method

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APPLIED COMPUTATIONAL ELECTROMAGNETICS SOCIETY JOURNAL 2021年第12期36卷 1526-1534页

作者： Fang, Shutao Li, Weiming Ren, Wu Xue, Zhenghui Beijing Inst Technol Sch Informat & Elect Beijing 100081 Peoples R China

In this paper, we presented an improved hybrid optimization method to construct distributed array with two identical sub-arrays, which is mainly applied on airplanes as the front-end of communication and detection system. According to different demands on array's gain and operating distances, the proposed method presents a scheme of implementation of two operate modes by optimizing elements' positions and excitations. Two sub-arrays are able to work together to realize high gain when the object is quite far away, and one sub-array is able to work alone when the object is relatively close. This method is presented based on Particle Swarm Optimization (PSO) method and convex method, accomplishing that peak sidelobe level (PSLL) of whole array is lowered under-10 dB, and PSLLs of sub-arrays are lowered under-20 dB by supplementing some auxiliary units and re-optimizing array's excitation distribution. In the procedure of optimization, the hybrid method is designed catering to multiple constraints according to the requirements of practical application. A specific example for synthesizing reconfigurable distributed array is provided and the sensitivity of obtained performance affected by interference of optimized results is discussed.

关键词： convex optimization differential evolu-tion algorithm distributed array synthesis grating lobe suppression PSO Optimization Algorithm

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