Low-Complexity Robust Adaptive Beamforming Based on Covariance Matrix Reconstruction

机译：基于协方差矩阵重构的低复杂度鲁棒自适应波束形成

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摘要

A new beamformer based on covariance matrix reconstruction is introduced. The essence of the new approach is to eliminate the desired signal component in the sample covariance matrix and thus complex integral operation is avoided in the procession of covariance matrix reconstruction. Besides, the actual array steering vector is estimated by a new technique. Contrary to other reference beamformers, simulation results demonstrate the effectiveness of our proposed method.

机译：介绍了一种基于协方差矩阵重构的新型波束形成器。新方法的本质是消除样本协方差矩阵中的所需信号分量，从而避免在协方差矩阵重构过程中进行复杂的积分运算。此外，实际的阵列转向矢量是通过一种新技术来估计的。与其他参考波束形成器相反，仿真结果证明了我们提出的方法的有效性。

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《International conference on communications, signal processing, and systems》|2018年|201-206|共6页
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Zhiwei Guan; Heping Shi; Lizhu Zhang; Ning Ma;
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Robust adaptive beamforming; Covariance matrix reconstruction; Steering vector estimation;

机译：鲁棒的自适应波束成形;协方差矩阵重建;转向矢量估计;

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专利

1. Low-complexity robust adaptive wideband beamforming based on covariance matrix reconstruction [J] . Yaqi Liu, Yongjun Zhao Electronics Letters . 2018,第16期

机译：基于协方差矩阵重构的低复杂度鲁棒自适应宽带波束形成
2. Robust Adaptive Beamforming Using a Low-Complexity Steering Vector Estimation and Covariance Matrix Reconstruction Algorithm [J] . Chen Pei, Zhao Yongjun, Liu Chengcheng International journal of antennas and propagation . 2016,第pta2期

机译：低复杂度转向矢量估计和协方差矩阵重构算法的鲁棒自适应波束形成
3. Low-complexity robust adaptive beamforming method for MIMO radar based on covariance matrix estimation and steering vector mismatch correction [J] . Huang Junsheng, Su Hongtao, Yang Yang Radar, Sonar & Navigation, IET . 2019,第5期

机译：基于协方差矩阵估计和转向矢量失配校正的MIMO雷达低复杂度鲁棒自适应波束形成方法
4. Low-Complexity Robust Adaptive Beamforming Based on Covariance Matrix Reconstruction [C] . Zhiwei Guan, Heping Shi, Lizhu Zhang, International conference on communications, signal processing, and systems . 2019

机译：基于协方差矩阵重建的低复杂性鲁棒自适应波束形成
5. Robust covariance matrix estimation for radar space-time adaptive processing (STAP). [D] . Kang, Bosung. 2015

机译：雷达时空自适应处理（STAP）的鲁棒协方差矩阵估计。
6. Robust Adaptive Beamforming with Sensor Position Errors Using Weighted Subspace Fitting-Based Covariance Matrix Reconstruction [O] . Peng Chen, Yixin Yang, Yong Wang, 2018

机译：基于加权子空间拟合的协方差矩阵重构的传感器位置误差的鲁棒自适应波束形成
7. Robust Adaptive Beamforming Using a Low-Complexity Steering Vector Estimation and Covariance Matrix Reconstruction Algorithm [O] . Pei Chen, Yongjun Zhao, Chengcheng Liu 2016

机译：使用低复杂性转向估计和协方差矩阵重建算法的鲁棒自适应波束成形
8. Covariance Matrix Filtering for Adaptive Beamforming with Moving Interference [R] . Newhall, B. K. 2001

机译：具有移动干扰的自适应波束形成的协方差矩阵滤波

Low-Complexity Robust Adaptive Beamforming Based on Covariance Matrix Reconstruction

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