冲击噪声背景下主分量求逆波束形成

关于波束形成器抑制噪声优化问题,在冲击噪声背景下,常规波束形成性能下降,影响通信效果。为解决上述问题,提出一种适用于任意未知统计特性的代数拖尾冲击噪声环境下的归一化的主分量求逆(N-PCI)算法。通过对输入信号进行无穷范数归一化,使变换信号的二阶统计量在代数拖尾的冲击噪声环境下存在且有界,提高了波束形成器在冲击噪声背景下的性能,且无需噪声特征指数的先验信息。仿真结果表明,该算法具有副瓣电平低且干扰抑制能力强的优点,较常规波束形成算法更有效,为设计提供了有效参考。

Normalized Principal Component Inverse Beamforming with Heavy-Tailed Impulsive Noise of Unknown Statistics

This paper studied beamforming with heavy-tailed impulsive noises.To solve the performance degradation of beamformer in heavy-tailed impulsive noises of unknown statistics,a new beamforming approach,termed as Normalized-Principal Component Inverse(N-PCI) algorithm,was presented to combat the arbitrary unknown heavy-tailed impulsive noises of unknown statistics.The proposed algorithm kept the second-order-statistics of the input signal existing and finite after the input signal being infinity norm snapshot normalized.The performance of the beamformer with heavy-tailed impulsive noise of unknown statistics was improved and it did not need prior information or estimation of the impulsive noise’s effective characteristic exponent’s numerical value.Simulation results show that this algorithm offers lower sidelobe,better interference-rejection and more effectiveness comparing to conventional beamforming algorithms.