最坏情况下的鲁棒自适应波束形成算法性能分析

研究了最坏情况下的鲁棒自适应波束形成算法,它通过对角加载提高波束对方向矢量误差的鲁棒性.给出了其最优对角加载因子的近似解析达式,揭示了各种因素如何影响最优加载因子.在此基础上,对该算法进行了性能分析,推导出了关于目标功率估计和信号干扰噪声比的近似表达式.计算机仿真验证了本文的分析.

Performance Analysis of the Robust Adaptive Beamforming Based on Worst-Case Performance Optimization

The performance of adaptive beamforming degrades dramatically in practice due to steering vector mismatches.As a solution,diagonal loading is usually used to improve its robustness.However,how to select the loading level remains an open problem.In this paper,the robust adaptive beamforming(RABF) which determines the loading level based on worst-case performance optimization is investigated and a simple closed-form solution to the optimal loading is derived after some approximations,revealing how different factors affect the optimal loading.On the basis of this solution,a performance analysis is carried out,focusing mainly on the source power estimation and signal-to-interference-plus-noise ratio(SINR).The corresponding analytical results are presented for performance prediction.Finally,numerical examples demonstrate the correctness of the analysis in this paper.