基于Bayesian准则的鲁棒自适应波束形成算法

Robust Adaptive Beamforming Algorithm Based on Bayesian Criteria

研究波束形成算法的前提是驾驶向量是确定的。在实际情况下,由于实际的阵列响应和期望信号的阵列响应存在一定的偏差,这时候就需要研究对于驾驶向量不确定情况下的波束形成问题。该文基于Bayesian准则,对一系列自适应MVDR波束形成器的权向量进行后验概率密度加权,得到Bayesian自适应波束形成器。仿真和实际水声阵列数据结果显示,该波束形成器在驾驶向量不确实的情况下,具有较好的鲁棒性。

The premise of studying the beamforming algorithms is to know the steering vector. However, in the actual circumstances, the steering vector is uncertainties because of the slight mismatch between presumed and actual array responses to the expected signal. In this situation, we need to study some beamforming algo- rithms in the situation of steering vector uncertainty. In this paper, a series of adaptive MVDR beamformer weight vector is weighted by posterior probability density which based on Bayesian criteria. Simulation and ac- tual water acoustic array data show that in the situation of the steering vector uncertainty, the Bayesian beam- former is robustness.