强海水混响背景下水中兵器攻击目标检测研究

水中兵器在对舰船目标攻击过程中受到海水混响杂波的影响，导致目标检测性能下降。传统方法采用时频分析方法进行目标检测，在信混比较低的情况下受到的干扰较强，导致虚警概率较高。提出一种舰船目标回波盲源分离的强海水混响背景下的水中兵器攻击目标检测算法。首先构建强海水混响干扰下的舰船目标回波模型，对舰船目标回波模型进行自相关匹配滤波，提取回波信号的高阶谱特征，实现目标信号的盲源分离，达到目标检测的目的。仿真结果表明，采用该算法进行目标检测，准确检测概率较高，降低了虚警概率，提高了水中兵器对目标的准确打击能力。

Detection of weapon attack target in background of strong sea water reverberation

Underwater weapon in ship target attack process is affected by water reverberation clutter effects, resulting in target detection performance degradation, using the traditional method of frequency analysis method for target detection, in the letter mix relatively low under strong interference, resulting in a higher false alarm probability. A target detection algorithm for underwater weapon in the background of strong sea water reverberation is proposed. Strong sea reverberation interference for ship target echo model is first constructed, calculating self correlation matched filtering of ship target echo model, extracting echo signal of high order spectral characteristics, to achieve target signal blind source separation, to achieve the purpose of target detection. The simulation results show that while the proposed algorithm is used for target detection, accurate detection probability is higher, and the false alarm probability is reduced.