| 改进UKF算法在双基阵纯方位目标跟踪中的应用 |
| |
| 引用本文： | 周浩,詹广平,顾晓东.改进UKF算法在双基阵纯方位目标跟踪中的应用[J].舰船电子工程,2009,29(8):75-78. |
| |
| 作者姓名： | 周浩 詹广平 顾晓东 |
| |
| 作者单位： | 1. 海军工程大学,武汉,430033
2. 海装驻武汉地区军事代表局,武汉,430064 |
| |
| 摘 要： | 传统算法在解决纯方位目标跟踪时存在有偏、收敛速度慢或发散等不足,无迹卡尔曼滤波（UKF）虽然改善了系统线性化误差,但并没有明显改善卡尔曼滤波器容易发散的问题。文章在扩展卡尔曼滤波和UKF算法的基础上,提出一种衰减记忆UKF算法（MAUKF）,引进衰减因子加强对当前测量数据的利用,减小历史数据对滤波的影响。理论分析和仿真结果表明,MAUKF算法在纯方位目标跟踪中的滤波精度、稳定性和收敛时间都优于EKF、UKF算法。
|
| 关 键 词： | 纯方位 非线性滤波 扩展卡尔曼滤波 无迹卡尔曼滤波 |
Application of Improved UKF in Bearings-only Target Tracking Using Bistatic Sonar |
| |
| Zhou Hao,Zhan Guangping,Gu Xiaodong.Application of Improved UKF in Bearings-only Target Tracking Using Bistatic Sonar[J].Ship Electronic Engineering,2009,29(8):75-78. |
| |
| Authors: | Zhou Hao Zhan Guangping Gu Xiaodong |
| |
| Institution: | Naval University of Engineering1;Wuhan Military Representative Bureau of Naval Equipment Department2 |
| |
| Abstract: | The traditional algorithms applied in bearings-only target tracking have some shortages or disadvantages such as biased,slow convergence or divergence.The UKF algorithm improves the linearization of system,but it doesn't amend the robustness of system obviously.In this paper,an improved UKF named MAUKF(Memory Attenuated Unscented Kalman Filtering) algorithm which is based on the extended Kalman filter and the UKF is proposed.The MAUKF algorithm improves the robustness by using a fading factor.Theoretical an... |
| |
| Keywords: | bearings-only nonlinear filtering extended Kalman filter unscented Kalman filter |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
