矢量舷侧阵平台自噪声空域滤波抑制方法

Self noise-reduction method based on spatial filtering for a vector flank array platform

针对UUV类小平台空间有限,平台自噪声易对舷侧阵声呐产生近场强干扰,从而影响声呐弱目标探测能力的现象,本文给出了将空域矩阵滤波技术、矢量信号处理技术以及平面波方位估计技术结合的方法,利用近场平台噪声及远场目标信号的传播特性,通过设计最优化问题求解具有平台噪声强干扰抑制功能的空域矩阵滤波器,推导得出最优解。仿真结果表明:空域矩阵滤波处理抑制了平台强噪声干扰,消除了噪声在舷侧声呐部位产生的假目标,能够提升矢量舷侧阵声呐的远程弱目标被动探测性能。

Considering that the space of an unmanned underwater vehicle(UUV)small platform is limited,the self-noise of a sonar platform produces strong near-field interference to flank array sonar,thereby affecting the ability of the sonar to detect weak targets.Based on this premise,spatial matrix filtering technology,vector signal processing technology,and the direction of arrival estimation technology were combined to solve the problem.Using the propagation characteristics of near-field platform noise and the far-field target signal,the spatial matrix filter was designed using optimization problems,which can suppress the strong noise interference of the platform.The simulation results showed that the spatial matrix filtering process can suppress the strong noise interference of the platform and eliminate the false target generated by the noise,which should enable improvement in the passive detection performance of the remote weak target of the vector flank array sonar.