修正主模抑制稳健自适应波束形成算法

发布时间：2018-01-16 19:08

本文关键词：修正主模抑制稳健自适应波束形成算法　出处：《电子与信息学报》2017年11期 　论文类型：期刊论文

【摘要】：针对自适应波束形成器在少快拍和波束指向角度失配情况下性能严重下降的问题,该文提出一种基于修正协方差矩阵的稳健主模抑制算法。算法提出利用修正协方差矩阵估计主模成分,进而重构出数据协方差矩阵,同时利用其特征向量向期望信号导引向量的投影来确定信号子空间维数。为提高算法在低信噪比情况下的性能,提出利用信号区域积分得到正定矩阵,以其主特征向量对信号子空间进行扩充,再将导引向量向信号子空间进行投影得到修正的导引向量。最终利用重构协方差矩阵及修正导引向量得到最优权值。理论分析和仿真实验验证了所提算法的有效性和稳健性。
[Abstract]:The performance of adaptive beamformer in the case of less shot and beam-pointing angle mismatch is seriously degraded. In this paper, a robust principal mode suppression algorithm based on modified covariance matrix is proposed, in which the modified covariance matrix is used to estimate the principal module components, and then the data covariance matrix is reconstructed. At the same time, the dimension of the signal subspace is determined by projection of the eigenvector to the guidance vector of the expected signal. In order to improve the performance of the algorithm in the case of low signal-to-noise ratio, a positive definite matrix is obtained by integrating the signal region. The signal subspace is extended by its principal eigenvector. Then the guidance vector is projected into the signal subspace to obtain the modified guidance vector. Finally, the optimal weight is obtained by using the reconstructed covariance matrix and the modified guidance vector. The theoretical analysis and simulation results show that the proposed algorithm is effective. Sex and robustness.
【作者单位】：杭州应用声学研究所;
【分类号】：TN911.7
【正文快照】： 建立在最大化输出信干噪比(Signal-to-Interference-plus-Noise Ratio,SINR)准则下的最小方差无失真(Minimum Variance DistortionlessResponse,MVDR)算法可以保证主瓣信号无失真地通过,同时在干扰方向形成零陷,对强干扰进行抑制。在理想情况下,是最优的空域滤波器,然而在实际

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