Optimal Design of Multiple Antennas Based on Maximum Rate and Antenna Selection Algorithm

Jiongyuan Zhou, Jin Wang, Yunchi Shi, Yu Tian, Jie Chen
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Abstract

Compared with conventional SAR, multi-antenna SAR has more system degrees of freedom, and has significant advantages in high-resolution wide swath imaging, moving target detection and interference suppression. In order to improve the analysis bandwidth of multi-antenna SAR system, a joint optimization algorithm of multi-antenna SAR system based on bandwidth maximization and antenna selection is proposed. The analytical bandwidth maximization model is built under the RS constraint, using the Rayleigh-Ritz theorem to find the optimal amplification factor after some relaxation. The amplification factor and the antenna selection sequence are processed by the method of separating two variables in turn, and the analytical solution is deduced according to the optimization theorem to find the optimal antenna selection sequence. The simulation results show that, compared with the traditional algorithm, the proposed algorithm can significantly improve the analysis bandwidth and bit error rate of the system in the multi-antenna SAR system.
基于最大速率和天线选择算法的多天线优化设计
与传统SAR相比,多天线SAR具有更大的系统自由度,在高分辨率宽幅成像、运动目标检测和干扰抑制等方面具有显著优势。为了提高多天线SAR系统的分析带宽,提出了一种基于带宽最大化和天线选择的多天线SAR系统联合优化算法。在RS约束下建立解析型带宽最大化模型,利用瑞利-里兹定理在一定的松弛后求出最优放大因子。采用两变量轮流分离的方法对放大因子和天线选择序列进行处理,并根据优化定理推导解析解,求出最优天线选择序列。仿真结果表明,在多天线SAR系统中,与传统算法相比,该算法能显著提高系统的分析带宽和误码率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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