摘要
对水下目标一般采用声学方式动态探测,因测量手段、目标机动等原因其运动轨迹一般具有非线性、误差大的特点。利用扩展卡尔曼滤波器对目标机动轨迹进行滤波,将探测得到的离散测量点转化为误差较小的连续的目标运动轨迹。同时,对滤波后的的误差进行了模拟评估,检验了方法的有效性。
Usually sonar is used to detect undersea target,due to the measure techniques and target movement the trajectories always have features such as non-linearity and deviation. The extended Kalman filter is used to filter the dots of the target's movements,turn the dispersed dots to consecutive trajectories with lesser error. Meanwhile the filter error is simulated and evaluated,and the validity of the algorithm is validated.
作者
刘兆才
刘杰
徐学伟
LIU Zhaocai;LIU Jie;XU Xuewei(Unit 41,No. 91388 Troops of PLA,Zhanjiang 524022)
出处
《舰船电子工程》
2019年第5期24-25,40,共3页
Ship Electronic Engineering
关键词
卡尔曼滤波
运动分析
水下目标
Kalman filter
movement analysis
undersea targets
