摘要
针对自适应波束形成器在进行对角加载时存在选取对角加载值的不可靠问题,设计了一种稳健的自适应波束形成器。通过采用收缩方法(Shrinkage Method)获得了对协方差矩阵更精确的估计,以代替标准Capon波束形成器(SCB)中的采样协方差矩阵。与传统自适应波束形成器相比,能够根据给定数据完全自主的计算出对角加载值而不需要指定任何用户参数,有效的抑制干扰信号,改善输出信噪比,且具有良好的波束保形能力和较快的收敛速度,特别是在快拍数较少的情况下具有很好的性能。计算机仿真验证了设计方法的正确性和有效性。
For the adaptive beamformers, it is difficult to reliably choose the DL level. To solve this problem, a new robust adaptive beamformer was proposed. In this method, a more accurate estimate of the covariance matrix was obtained via using the shrinkage method, instead of the sample covariance matrix in the standard Capon beamformer. Compared with the traditional adaptive beamformers, the new method can compute the DL level completely automatically without specifying any user parameters, not only suppresses the interference signals effectively, improve the output SINR, but also processes good beam conformal capacity and fast convergence rate, especially has good performance in the case of less snapshots. Computer simulations verify the correctness and effectiveness of the new method.
出处
《计算机仿真》
CSCD
北大核心
2012年第1期374-377,共4页
Computer Simulation
基金
国家自然科学基金资助(60972152)