脉冲噪声环境中鲁棒的自适应波束形成方法

本文提出一种脉冲噪声环境中的自适应波束形成方法.方法假定噪声服从对称 α 稳定(S α S:Symmetric α -stable)分布,首先定义分数低阶阵列响应,然后根据最小方差无畸变响应波束形成器(MVDR)提出分数低阶最小方差无畸变响应波束形成器(FrMVDR).理论上证明了当阶数小于噪声特征指数的一半时,分数低阶阵列输出功率有界.计算机仿真实验证明了本文提出的FrMVDR波束形成器在高斯噪声和非高斯脉冲噪声环境中性能都优于MVDR和其他有关的基于分数低阶矩的波束形成器,是一种鲁棒的自适应波束形成器.

Robust Adaptive Beamforming Method in Impulsive Noise

A new adaptive beamforming method in impulsive noise modeled as S α S (Symmetric α -stable) processes is proposed.The method firstly defines fractional lower-order array response and then develops a fractional lower order minimum variance distortionless response (FrMVDR) beamformer,based on the conventional minimum variance distortionless response (MVDR) beamformer.It is shown theoretically that the fractional lower order array output power is bounded when the fractional lower order is less than half of the characteristic exponent of the noise.Computer simulations show that the FrMVDR beamformer has superior performance in both Gaussian and non-Gaussian impulsive noise environments in comparison with the MVDR and other related fractional lower order moment (FLOM) based beamformers.Hence the proposed beamformer is a robust one.