中北大学学报（自然科学版）2011，Vol.32Issue(2)：174-178,5.DOI:10.3969/j.issn.1673-3193.2011.02.012
基于伪线性KF和EKF的无源定位算法研究
Research on Pseudo-Linear Kalman Filter and Extended Kalman Filter Passive Location Algorithm
曾钰 1林都1
作者信息
- 1. 中北大学信息与通信工程学院,山西,太原,030051
- 折叠
摘要
Abstract
The curve of extended Kalman filter (EKF) for nonlinear observation model is susceptible to being divergent, so pseudo-linear Kalman filter (Pseudo-Linear KF) was used to analysis the nonlinear equations. The nonlinear equations were pseudo-linearized by coordinating the nonlinear factors to observing matrixes. The above work was compared with the two-stations EKF in characteristics. The filtering errors were obtained thorough Monte Carlo simulation. The results showed that for nonlinear observation model, the filtering time of one-station Pseudo-Linear KF-was lower than 20 periods, and the root mean square error (RMSE) was greater than 0 and less than 1 in x,y and z direction, but the filtering time of two-stations EKF was more than 25 periods and less than 30 periods, and the root mean square error was greater than 1.关键词
扩展卡尔曼滤波/非线性观测模型/伪线性卡尔曼滤波/Monte Carlo仿真Key words
extended Kalman filter/ nonlinear observation model/ pseudo-linear Kalman filter/ Monte Carlo simulation分类
航空航天引用本文复制引用
曾钰,林都..基于伪线性KF和EKF的无源定位算法研究[J].中北大学学报（自然科学版）,2011,32(2):174-178,5.
