鱼雷垂直目标亮点高分辨算法仿真与试验研究

Simulation and Experimental Study of a High-Resolution Method for Torpedo Vertical Highlights

在鱼雷声成像垂直尺度识别中,根据潜艇垂直方向上目标亮点相距较近,且为相干信号源的特点,同时为了减小运算量而易于工程实现,提出了一种基于正交采样的高分辨DOA估计算法,即正交解相干MUSIC算法。该算法首先对阵列接收到的高频信号进行正交采样,在降低采样率的基础上,再利用解相干MUSIC算法对低频信号进行DOA估计。仿真结果表明,改进算法在有效减小运算量的同时,具有和解相干MUSIC算法相同的性能。在理论和仿真研究的基础上,对不同发射阵阵元间距下的2个相干信号源进行了2组水池缩比试验,并运用正交解相干MUSIC算法进行估计,结果表明,该算法能够较为准确地估计出2个相干信号源的方向。

In order to reduce calculation in the process of vertical scale identification of torpedo acoustic image, we present an improved decoherent multiple signal classification （MUSIC） method based on quadrature complex sampling which suits to estimating the vertical highlights of submarine with the characteristics of near distance and coherent signals . By the improved method, we process the high frequency signal received on the array with quadrature complex sampling to decrease sampling rate, and estimate the direction of the low frequency signal by the decoherent MUSIC method. A small-scale model experiment conducted in water tank for two coherent signals. Simulation and experimental results show that the present method can estimate accurately the direction of two coherent signals.