基于目标通过特性的预警值更算法设计

A Surveillance Detection Algorithm Based on Target Passing Characteristic

利用水中目标通过预警系统时的通过特性波形特征,提出了一种基于自适应幅度滤波技术和时间滤波技术的预警值更算法,应用于被动预警值更系统的微弱信号检测。海试实验结果表明算法能有效克服高海况复杂背景影响,对有效舰船目标正确值更概率达到86.9%,且弥补了传统预警处理系统检测算法抗爆破冲击干扰信号弱的缺陷,算法结构简单,实时性高,可以成为未来引信预警系统利用舰船辐射声场探测目标的一种有效途径。

Using the target passing characteristic waveform feature,a surveillance algorithm for detection system based on adaptive amplitude and time threshold filter techniques is presented.Experiment results taken from the sea show that the weak signal detection performance is improved and the influence of the complex sea background is effectively overcome,the detection rate reaches 86.9%to the real vessel target.Compared with the existed surveillance algorithm,the burst signal influence is overcome,the algorithm is simple and real-time, and it will be a good way to detect targets in underwater acoustic fuze system in the future.