基于CS和随机声呐阵列的水下目标方位估计

摘要

针对线性被动声呐的水下目标方位估计问题, 考虑到水下目标的方位相对于所有可能的探测方位是稀疏的这一事实, 采用压缩感知 (CS) 技术设计目标的方位估计方法.依据CS理论中的互不一致性 (MIP) 条件, 构造了一种阵元稀疏且随机分布的线列阵声呐结构.对以上设计的方位估计方法和声呐阵列信号进行了仿真.仿真结果表明, 采用稀疏随机声呐阵列, 并结合基于CS的目标方位估计方法, 不仅能够在水下低信噪比的情况下准确分辨空间方位集中的多个目标, 而且能够在目标源信号相干的情况进行准确的方位分辨.%The problem of underwater target azimuth estimation of linear passive sonar is studied.For the data processing algorithm, considering the fact that the underwater target's orientation relative to all possible detection directions is sparse, the compressive sensing (CS) technology is adopted to design a method for estimating the underwater target azimuth.As for the structure of linear sonar, according to the mutual incoherence property (MIP) condition in CS theory, a kind of linear sonar array with sparse and randomly distributed elements is constructed.Simulation results show that the designed sonar array, combined with the target azimuth estimation method based on CS, can accurately identify the targets with concentrated spatial orientation in the condition of low signal-to-noise ratio underwater, and the targets with coherent source signal.