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| 一种纯方位跟踪中的自适应滤波算法 | |
| 引用本文： | 卢晓林,刘健,刘忠. 一种纯方位跟踪中的自适应滤波算法[J]. 海军工程大学学报, 2007, 19(1): 86-89 |
| 作者姓名： | 卢晓林 刘健 刘忠 |
| 作者单位： | 1. 海军工程大学,训练部,武汉,430033 2. 海军92823部队,海南,三亚,572021 3. 海军工程大学,电子工程学院,武汉,430033 |
| 摘 要： | 针对纯方位被动目标跟踪中扩展卡尔曼滤波算法易发散的不足,提出了一种自适应的改进算法。该算法利用极大后验噪声估计器Sage-Husa对虚拟观测噪声进行实时在线估计,动态补偿线性化带来的误差。算法的对比仿真分析结果表明,AEKF较之EKF滤波效果有所改善,增强了稳定性,提高了精度,为水下纯方位被动目标跟踪的实现提供一种新的方法。 |
| 关 键 词： | 纯方位目标跟踪 扩展卡尔曼滤波 自适应扩展卡尔曼滤波 |
| 文章编号： | 1009-3486(2007)01-0086-04 |
| 修稿时间： | 2006-07-16 |
Research of AEKF application algorithm used for bearings-only tracking |
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| LU Xiao-lin,LIU Jian,LIU Zhong. Research of AEKF application algorithm used for bearings-only tracking[J]. Journal of Naval University of Engineering, 2007, 19(1): 86-89 | |
| Authors: | LU Xiao-lin LIU Jian LIU Zhong |
| Abstract: | Bearings-only tracking(BOT)is a key problem in the academic domain because it is non-linear essentially.A new adaptive filter(AEKF) is proposed considering the divergence shortage of extend Kalman filter(EKF).The new algorithm compensates the error of linearization dynamically by using Sage-Husa noise estimator online.The simulation results demonstrate that the AEKF has better performance than the EKF both in stability and precision.It provides a new method for the realization of underwater bearingsonly tracking. |
| Keywords: | bearings-only tracking extended Kalman filter adaptive EKF |
| 本文献已被 CNKI 万方数据 等数据库收录！ | |