基于匹配相关的潜艇亮点方位估计方法

A DOA Estimation Method of Submarine Highlight Based on Correlation Matching Algorithm

为了更可靠地实现对潜艇目标亮点方位的估计,建立了潜艇目标的多亮点回波模型,采用匹配相关法对其进行方位估计,并根据目标的短时方位信息方差比环境背景的小这一特点,提出了剔除环境噪声干扰的方法。仿真结果表明,该模型能够实现对潜艇目标回波的模拟,使用环境噪声剔除方法对采用匹配相关法得到的目标方位进行处理,降低了环境噪声对方位估计结果的干扰,增加了潜艇目标方位估计的可靠性。

To improve reliability of the DOA estimation of submarine highlights, a multi-highlight echo model of a submarine was established based on the mathematical model of point target echo, and the DOA was estimated by using the correlation matching algorithm. And according to the characteristic that the variance of target short-time bearing information is smaller than that of environmental background, a method for eliminating interference of environmental noise was proposed. Simulation results show that the proposed model can simulate the echo signal of a submarine, and deal with the target bearing obtained by the correlation matching algorithm by means of the proposed environmental noise elimination method to reduce the interference of environmental noise and improve the reliability of submarine target DOA estimation.