水下目标的多速率交互多模型跟踪算法

徐卫明; 刘雁春

doi:10.3724/SP.J.1146.2006.01309

水下目标的多速率交互多模型跟踪算法

doi: 10.3724/SP.J.1146.2006.01309

徐卫明^{①②;刘雁春},
刘雁春

基金项目:

国家自然科学基金(40671161)资助课题

计量
- 文章访问数: 2958
- HTML全文浏览量: 89
- PDF下载量: 859
- 被引次数: 0
出版历程
- 收稿日期: 2006-09-06
- 修回日期: 2007-04-27
- 刊出日期: 2008-03-19

Algorithm of Multirate Interacting Multiple Model for Underwater Target Tracking

Xu Wei-ming^{①②;刘雁春},
Liu Yan-chun

摘要

摘要: 为解决水下机动目标精密跟踪定位的实时性和可靠性问题，根据水下目标运动速度慢、机动性能弱的特点，该文利用小波变换技术实现了模式空间与测量空间的混合滤波，建立了水下机动目标多速率交互多模型跟踪定位算法，给出了多速率常速度和常加速度多模型滤波算法的统一表示形式。仿真试验的结果表明水下目标的多速率交互多模型跟踪算法具有较低的计算复杂度，能够改善水下目标跟踪的可靠性和实时性。
- 水下目标; 小波变换; 交互多模型; 多速率运动模型
Abstract: To solve the real-time and reliability problem of the underwater maneuver target tracking, according to the features of under maneuver target motion, namely, slow speed and weak motion capability, the mixing filter between pattern space and measurement space is performed by the wavelet transform, and the algorithm of multirate interacting multiple model is proposed for under maneuver target tracking. Meanwhile, the uniform expressions of multirate interacting multiple model are presented. The simulation results show that the algorithm of the multirate interacting multiple model has the low computation complexity and can improve the real-time and reliability performances of the underwater maneuver target tracking.

HTML全文

参考文献(1)

付梦印, 邓志红, 张继伟. Kalman 滤波理论及其导航系统中的应用[M]. 第一版, 北京: 科学出版社, 2003: 175-182.Fu M Y, Deng Z H, and Zhang J W. Theory of KalmanFiltering and Applications in Navigation System [M]. 1stEdition, Beijing: Science press, 2003: 175-182.[2]Samuel B and Robert P. Design and Analysis of ModernTracking System [M]. 1st Edition, London: Artech house,1999: 221-253.[3]周宏仁, 敬忠良, 王培德. 机动目标跟踪[M]. 第一版, 北京:国防工业出版社, 1991: 10-20.Zhou H R, Jing Z L, and Wang P D. Tracking ofManeuvering Targets [M]. 1st Edition, Beijing: Publishinghouse of national defence industry, 1991: 10-20.[4]Lang H. Multiresolutional multiple-model target tracking [J].IEEE Trans. on Aerospace and Electronic Systems.1994,30(2):518-524[5]Lang H, Zhen D, and Richard A W. Development ofmultirate model and multirate interacting multiple modelalgorithm for multiplatform multisensor tracking [J]. OpticalEngineering, 1998, 37(2): 453-467.[6]Lang H and Cui N Z. An interacting multipatternprobabilistic data association (IMP-PDA) algorithm fortarget tracking [J].IEEE Trans. on Automatic Control.2001,46(8):1223-1236[7]Yaakov B S and Li X R. Estimation and Tracking:Principles,Techniques and Software [M]. 1st Edition, London:Artech house, 1993: 417-488.[8]Li X R and Yaakov B S. Multiple model estimation withvariable structure [J].IEEE Trans. on Automatic Control.1996, 41(4):478-493[9]Leigh A, Johnston, and Vikram K. An improvement to theinteracting multiple model (IMM) algorithm [J].IEEE Trans.on Signal Processing.2001, 49(12):2909-2923[10]田宏伟, 敬忠良, 胡士强等. 基于小波变换的双站纯角度机动目标融合跟踪[J]. 系统仿真学报, 2005, 17(2): 300-303.Tian H W, Jing Z L, and Hu S Q, et al.. Fusion tracking formaneuvering targets with wavelet transform usingbearings-only measurements of two platforms [J]. Journal ofsystem simulation, 2005, 17(2): 300-303.[11]Lang H. Multirate interacting multiple model filtering fortarget tracking using multirate models [J].IEEE Trans. onAutomatic Control.1999, 44(7):1326-1340

施引文献

资源附件(0)

访问统计