首页 | 本学科首页   官方微博 | 高级检索  
     

基于扩展Kalman滤波的双基地声呐目标轨迹跟踪
引用本文:陈涛,王成,亢谊援. 基于扩展Kalman滤波的双基地声呐目标轨迹跟踪[J]. 电声技术, 2009, 0(4): 49-51
作者姓名:陈涛  王成  亢谊援
作者单位:[1]中国人民解放军海军驻沈阳地区电子系统军事代表室,辽宁沈阳110000 [2]西北工业大学,陕西西安710072 [3]西北大学,陕西西安710127
摘    要:研究了扩展Kalman滤波理论,给出了双基地声呐系统的测距模型,推导了基于双基地声呐系统距离信息的目标轨迹跟踪方法,给出了扩展Kalman滤波算法的模型,并对算法进行了仿真研究,验证了给出方法的有效性。

关 键 词:双基地声呐  信息融合  扩展Kalman滤波  目标运动分析

Bistatic Sonar Target Motion Analysis Based on Extend Kalman Filter
CHEN Tao,WANG Cheng,KANG Yi-yuan. Bistatic Sonar Target Motion Analysis Based on Extend Kalman Filter[J]. Audio Engineering, 2009, 0(4): 49-51
Authors:CHEN Tao  WANG Cheng  KANG Yi-yuan
Affiliation:1. The Chinese People's Liberation Army Naval Electronic System Delegate Office in Shenyang;Shenyang 110003;China;2. Northwestern Polytechnical University;Xi'an 710072;3. Northwestern University;Xi'an 710069;China
Abstract:The extend Kalman filter theory is studied. The model of measure distances for the bistatic sonar system is proposed. Based on the range of bistatic sonar system, a method of target motion analysis is derived. The model of extend kalman filter algorithm is proposed. The simulation result verifies the effectiveness of the new method.
Keywords:bistatic sonar  data fusion  the extend Kalman filter  target motion analysis  
本文献已被 CNKI 维普 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号