A Novel Unbiased Algorithm for Two-Station Bearings-Only Passive Location and Tracking

摘要：

The Extended Kalman Filter (EKF) algorithm is easy to be affected by the initial state value and the pseudo linear equation based algorithm will result in biased solution. A new asymptotically unbiased location and tracking algorithm with bearings-only measurements by two stations is proposed to solve these problems. The proposed algorithm introduces the correlation matrix of the observation error matrix into constraint condition. It uses constraint least squares minimization on the pseudo linear equation which includes quadratic constraint about the state vector and the state estimate can be got by taking a generalized eigen-decomposition to a pair of matrix pencil.

关键词： passive location bearing-only asymptotically unbiased constraint least squares generalized eigendecomposition

作者: Changwen Qu Zheng Xu Feng Su Bingrong Li

作者单位: Department of Electronic and Information Engineering, Naval Aeronautical and Astronautical University, Yantai, China

会议类型: 国际会议

会议名称: 2010 IEEE 10th International Conference on Signal Processing(第十届信号处理国际会议 ICSP 2010)

会议地点: 北京

会议语种:英文

页码: 2055-2058

在线出版日期: 2010-08-24（万方平台首次上网日期，不代表论文的发表时间）