一种声自导鱼雷潜艇目标识别方法

A target recognition algorithm for acoustic homing torpedo to identify submarine

本文利用目标不同位置回波亮点的微多普勒差异,提出一种基于微多普勒差异的声自导鱼雷目标识别算法,该算法通过亮点之间的位置信息估计出亮点连线的倾角,然后利用各个亮点的径向速度和亮点连线的倾角估计出不同亮点对应的目标速度,最后利用各个亮点获取目标运动速度的一致性来识别潜艇与对抗器材。仿真结果表明,该方法在大部分攻击态势和攻击条件下均可有效识别目标,本方法可作为声自导鱼雷在近距离跟踪阶段传统识别方法的有效补充,从而进一步提高声自导鱼雷水下目标的识别概率和识别距离。

In this paper,a target recognition algorithm for acoustic homing torpedo based on micro-Doppler difference is proposed by comparing the micro-doppler difference of highlight echoes at different positions of the target.The algorithm estimates the inclination angle of the highlight connection line through the position information between the highlights,and then uses the radial velocity of each highlight and the inclination angle of the highlight connection line to estimate the target speed corresponding to different highlights.Finally,the consistency of the target speed obtained by each highlight is used to identify the submarine and the countermeasure equipment.The simulation result shows that this algorithm can effectively identify targets and countermeasure equipment in most attack situations and attack conditions.This algorithm can be used as an effective supplement to the traditional recognition algorithm of the acoustic homing torpedo in the close-range tracking stage,thereby further improving the recognition probability and recognition distance of the acoustic homing torpedo to un-derwater targets.