噪声被动测距中的滤波技术应用研究  

Filtering applied research on noise passive ranging

作　　者：王新勇[1] 惠俊英[2] 喻红霞 

机构地区：[1]中兴通讯上海设计部,上海201203 [2]哈尔滨工程大学水声工程学院,黑龙江哈尔滨150001 [3]上海704研究所,上海200031

出　　处：《哈尔滨工程大学学报》2005年第1期80-83,共4页Journal of Harbin Engineering University

摘　　要：精确测定目标信号到达不同水听器的时延差是被动测距声呐正常工作的基础.文中先是采用一阶线性递归滤波器对相关函数进行滑动平均,剔除了待处理数据中的野点,而因此引入的延迟仅为3～4ms;然后再用基于自适应噪声抵消器的参数估计器对测量值(距离的估计)进行后置滤波和跟踪,该滤波器收敛和稳定时间需要0.5～1min,快于传统的Kalman滤波器(稳定最少需要5min),这对实现被动测距声呐对快速目标的跟踪是有很大意义的.最终系统实现了对慢速及快速目标(如鱼雷)的跟踪和滤波输出.Passive sonar relies on getting the precise delay between different sensors. Here an one-order linear recursion filter was first used to filter correlation function. Error points were easily eliminated and only brought a 5s time-delay. An one parameter-estimator with adapted filtering was used to post process and track the range result. It can not only effectively filter, but also track fast targets, because the filter can easily reach to convergence and stabilization states.

关 键 词：被动测距 时延差 一阶线性递归滤波器 参数估计器 

分 类 号：TB566[交通运输工程—水声工程]