A BOT algorithm based on sliding window n-step forward prediction

摘要：

Bearing-only tracking (BOT) involves nonlinearity. Extended Kalman filter (EKF) is usually employed for the advantages of efficient computation and real time operation. However, the observability badly declines at a high observation rate, which degrades the filtering performance. In order to address this issue, a BOT algorithm based on sliding window n-step forward prediction is proposed. It enhances the observability effectively, and improves the performance of BOT filter at a high observation rate. Target tracking experiments under differenr scenarios show that the proposed algorithm has good accuracy and stability, and is suitable for application at a high observation rate.

关键词： target tracking passive localization high observation rate extended Kalman filter forward prediction

作者: Ma Chunshi Fan Hongqi Lu Zaiqi

作者单位: ATR Lab, National University of Defense Technology, Changsha, Hunan 410073, P. R. China

会议类型: 国际会议

会议名称: 2011 IEEE CIE International Conference on Radar(2011年IEEE国际雷达会议RADAR 2011)

会议地点: 成都

会议语种:英文

页码: 1045-1049

在线出版日期: 2011-10-24（万方平台首次上网日期，不代表论文的发表时间）