一种基于稳健自适应波束形成的声隔离技术

An Acoustic Insulation Technology Based on Robust Adaptive Beamforming

摘要:

介绍了一种基于稳健自适应波束形成的声隔离技术。通过分析声诱饵工作时干扰与信号的主要入射方位，建立了边发边收声诱饵模型。针对 STMV 波束形成器在基阵模型失配情况下容易出现信号自消的现象，研究了一种解决波束形成稳健性的新方法，即 Robust Capon Beamforming(RCB)算法，实现有效的干扰抑制和信号提取。仿真和试验数据表明：该方法对端射方向干扰具有良好的抑制效果，且能无失真提取出目标信号，为稳健自适应波束形成在声诱饵边发边收中的应用提供了参考。

Abstract:

This paper introduces an acoustic insulation technique based on robust adaptive beamforming. By analyzing the main incident directions of interference and signal during operation of acoustic decoys，the ‘receiving while emitting’ acoustic decoy model is established. Aiming at the signal self-cancellation phenomenon that is prone to occur for STMV beamformer when the base array model is mismatched，a new RCB(Robust Capon Beamforming) algorithm method that solves the robustness of beamforming is proposed. It can effectively suppress the interference and extract the signal. Simulation and experimental data show that this method can effectively suppress the interference in the end-fire direction and extract target signals without distortion. It provides a reference for the application of robust adaptive beamforming in the ‘receiving while emitting’ of acoustic decoys.