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Gradient-based optimization method for interference suppression of linear arrays by the amplitude-only and phase-only control
International Journal of Microwave and Wireless Technologies ( IF 1.4 ) Pub Date : 2021-09-28 , DOI: 10.1017/s1759078721001355
Renjing Gao 1 , Yi Tang 2 , Qi Wang 3 , Shutian Liu 4
Affiliation  

This paper presents a gradient-based optimization method for interference suppression of linear arrays by controlling the electrical parameters of each array element, including the amplitude-only and phase-only. Gradient-based optimization algorithm (GOA), as an efficient optimization algorithm, is applied to the optimization problem of the anti-interference arrays that is generally solved by the evolutionary algorithms. The goal of this method is to maximize the main beam gain while minimizing the peak sidelobe level (PSLL) together with the null constraint. To control the nulls precisely and synthesize the radiation pattern accurately, the full-wave method of moments is used to consider the mutual coupling among the array elements rigorously. The searching efficiency is improved greatly because the gradient (sensitivity) information is used in the algorithm for solving the optimization problem. The sensitivities of the design objective and the constraint function with respect to the design variables are analytically derived and the optimization problems are solved by using GOA. The results of the GOA can produce the desired null at the specific positions, minimize the PSLL, and greatly shorten the computation time compared with the often-used non-gradient method such as genetic algorithm and cuckoo search algorithm.



中文翻译:

只用幅值只用相位控制的线性阵列干扰抑制梯度优化方法

本文提出了一种基于梯度的线性阵列干扰抑制优化方法,通过控制每个阵元的电参数,包括仅幅度和仅相位。基于梯度的优化算法(GOA)作为一种高效的优化算法,应用于一般进化算法解决的抗干扰阵列优化问题。该方法的目标是最大化主波束增益,同时最小化峰值旁瓣电平 (PSLL) 以及零约束。为精确控制零点,准确合成辐射方向图,采用全波矩量法,严格考虑阵元之间的相互耦合。由于在求解优化问题的算法中使用了梯度(敏感度)信息,搜索效率大大提高。分析推导了设计目标和约束函数对设计变量的敏感性,并利用GOA解决了优化问题。与遗传算法、布谷鸟搜索算法等常用的非梯度方法相比,GOA的结果可以在特定位置产生期望的零点,最小化PSLL,大大缩短计算时间。

更新日期:2021-09-28
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