基于加权协方差矩阵重构的稳健自适应波束形成算法

    Robust Adaptive Beamforming Based on Weighted Covariance Matrix Reconstruction

    • 摘要: 本文提出了一种基于加权协方差矩阵重构(Weighted Covariance Matrix Reconstruction, WCMR)的最小方差无失真响应(Minimum Variance Distortionless Response, MVDR)自适应波束形成算法——WCMR-MVDR算法。算法通过重构干扰加噪声协方差矩阵过程中积分区间的选择,实现主瓣保形和旁瓣电平控制。通过重构过程中的旁瓣区加权函数的优化设计,高效灵活地实现了旁瓣形状的控制。该算法运算量低、稳定性高,能在精确稳健控制天线方向图主瓣与旁瓣特性的同时,自适应抑制旁瓣干扰。

       

      Abstract: A minimum variance distortionless response adaptive beamformer based on weighted covariance matrix reconstruction (WCMR-MVDR) is proposed. This algorithm controls mainlobe distortion and sidelobe levels by selecting an appropriate integration interval during the reconstruction of the interference-plus-noise covariance matrix. Moreover, efficient and flexible sidelobe shaping is achieved by optimizing the design of the sidelobe weighting function in the reconstruction process. WCMR-MVDR has low computational complexity and high stability, which can effectively achieve adaptive sidelobe interference suppression under precise and robust control of the mainlobe and sidelobe characteristics of the antenna pattern.

       

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