微弱信号背景下鱼雷对敌目标的有效检测算法研究

Research on effective detection algorithm of torpedo to enemy target in the background of weak signal

在海水混响背景下,鱼雷对敌目标检测受到的干扰较大,检测信号微弱,为了提高微弱信号背景下鱼雷对敌目标的检测能力,提出一种基于主动脉冲回波探测和盲源分离技术的信号检测算法。构建鱼雷对比目标检测的微弱信号回波模型,采用级联匹配滤波方法进行信号的干扰抑制和谱增强处理,采用自相关波束形成方法进行信号的去盲处理,提高微弱信号背景下鱼雷的主动目标探测能力,提取目标回波信号的高阶谱特征量,采用复包络检测方法实现对目标回波信号的准确定位和参量估计,实现对微弱信号背景下鱼雷对敌目标的准确检测。仿真结果表明,采用该算法进行目标检测的准确性较高,提高了鱼雷的准确探测和对敌攻击能力。

Under the background of sea water reverberation,torpedo’s detection to enemy target is greatly disturbed and the detection signal is weak.In order to improve the detection ability of torpedo to enemy target under weak signal background,a signal detection algorithm based on aortic impulse echo detection and blind source separation is proposed.The weak signal echo model of torpedo contrast target detection is constructed,the interference suppression and spectrum enhancement are processed by cascaded matched filtering method,and the signal blind processing is carried out by auto-correlation beamforming method.The detection ability of torpedo active target in weak signal background is improved,the high order spectral characteristic of target echo signal is extracted,and the accurate location and parameter estimation of target echo signal are realized by using complex envelope detection method.The accurate detection of torpedo to enemy target under the background of weak signal is realized.The simulation results show that the accuracy of target detection using this algorithm is high and the ability of torpedo detection and enemy attack is improved.