【作者】 廖永汉； 郭云飞； 彭冬亮；

【Author】 Liao Yonghan,Guo Yunfei,Peng Dongliang Institute of Information and Control,Hangzhou Dianzi University,Hangzhou,Zhejiang 310018,P.R.China

【机构】 杭州电子科技大学信息与控制研究所；

【摘要】 无源声探测定位技术是利用声传感器被动接收特定声波信号以确定声源的一种定位技术,它具有隐蔽性好、全天候、不易受干扰等优点,在军事监控领域得到广泛应用。针对声传感器网络上报的方位角信息异步且有延时的问题,本文提出一种新的方法对各传感器上报的方位角进行时空校准。然后采用伪线性卡尔曼滤波(PLE-KF),对目标进行跟踪。仿真结果表明,本文提出的时空校准方法能提高目标跟踪精度,PLE-KF算法可以满足声探测系统的精度要求。更多还原

【Abstract】 The passive acoustic localization technique is frequently used to detect and track the target that emitting acoustic signals.It is widely used by the military for its advantages of concealment and anti-jamming.This paper presents a new fusion algorithm for the passive asynchronous multi-acoustic-sensor system which only supplies the time delay bearing information.First adjust the time-space of supplied bearing information which supplied by asynchronous multi-acoustic-sensor,then use pseudo-linear kalman filter(PLE-KF) to track the aim.Monte Carlo simulation shows this algorithm attains the localization precision of our project.更多还原