近场鲁棒自适应波束形成算法
Near-field robust adaptive beamforming algorithm
基于不确定集的线性约束最小方差算法（USC-LCMV），在近场波束形成当中对导向向量的指向偏差具有较好的鲁棒性，但该算法受阵列空间分辨率的制约，当干扰信号落在波束主瓣时，输出性能急剧下降，本文在空时最优处理器的基础上提出空时USC-LCMV算法，当空域滤波失效时，算法可以从时域滤除干扰有效接收目标信号，该算法对阵列空间分辨率的大小具有较好的鲁棒性,当干扰信号落在波束主瓣时仍可以维持稳定的输出。
In near-field beamfoing, USC-LCMV which is proposed based on uncertain set constraint has strong robustness to steering vector error, while this aglorithm is still limited by array spatial resolution, when the interference signal is located on main lole of beampattern, output performance of USC-LCMV falls sharply; In this paper, space-time USC-LCMV based on optimal space-time processer is used in near-field beamforming. This algorithm has spatial and domain resolution, so it is a high resolution adaptive beamforming algorithm.
廖艳苹、韩华
电子对抗无线电设备、电信设备通信
近场自适应波束形成鲁棒性空时USC-LCMV
Near-fieldadaptive beamformingrobustnessspace-time USC-LCMV
廖艳苹,韩华.近场鲁棒自适应波束形成算法[EB/OL].(2015-01-12)[2025-08-10].http://www.paper.edu.cn/releasepaper/content/201501-188.点此复制
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