Computer Science ›› 2015, Vol. 42 ›› Issue (11): 310-313.doi: 10.11896/j.issn.1002-137X.2015.11.063

Previous Articles     Next Articles

Novel Target Tracking Algorithm Based on Joint Estimation of System Error and State

HU Yu-mei, HU Zhen-tao, ZHENG Shan-shan, LI Xian and GUO Zhen   

  • Online:2018-11-14 Published:2018-11-14

Abstract: Aiming at adverse effects resulted from system error on state estimation precision in linear system,a novel target tracking algorithm based on joint estimation of system error and state was proposed in Kalman filter framework.Firstly,the influence of system error on target state estimation and state estimation error covariance matrix were analyzed quantitatively.Secondly,combined with the extension method of state dimensions,the registration process of system error was constructed.Finally,the realization steps of new algorithm were designed according to the iterative process of standard Kalman filter.Simulation results show the feasibility and effectiveness of new algorithm dealing with system error registration and state estimation when system error is constant or time-vary.

Key words: State estimation,System error registration,Target tracking,Kalman filter

[1] Zheng Z W,Zhu Y S.New least squares registration algorithm for data fusion[J].IEEE Transactions on Aerospace and Electronic Systems,2004,40(4):1410-1416
[2] 何友,宋强,熊伟.基于相位相关的航迹对准关联技术[J].电子学报,2010,12(38):2719-2723 He Y,Song Q,Xiong W.Track alignment correlation technique based on phase correlation[J].Acta Electronica Sinica,2010,12(38):2719-2723
[3] Okello N N,Ristic B.Maximum likelihood registration for multiple dissimilar sensors[J].IEEE Transaction on Aerospace and Electronic Systems,2003,39(3):1074-1083
[4] Leung H,Blanchette M.A least squares fusion of multiple radar data[C]∥Proceeding of RADAR.Paris,France,1994:364-369
[5] Li D,Zhang F.Real-time data compression bias estimation onnetted radar[C]∥IEEE Conference on Signal Processing.Beijing,China,2010:2152-2155
[6] Li Z H,Chen S Y,Leung H.Joint data association,registration,and fusion using EM-KF[J].IEEE Transactions on Aerospace and Electronic Systems,2010,46(2):496-507
[7] Jian L,Li X R.Nonlinear estimation by linear estimation with augmentation of uncorrelated conversion [C]∥IEEE Confe-rence on Information Fusion.Salamanca,Spain,2014:1-8
[8] Acharya A,Sadhu S,Ghoshal T K.Improving self-alignment of strapdown INS using measurement augmentation[C]∥IEEE Conference on Information Fusion.Washington,USA,2009:1783-1789
[9] Deng F,Chen J,Chen C.Adaptive unscented Kalman filter for parameter and state estimation of nonlinear high-speed objects[J].Journal of Systems Engineering and Electronics,2013,24(4):655-665
[10] Xu D X,Wang L,Li G C,et al.Study of strong tracking augmented unscented Kalman filter in integrated navigation system[C]∥IEEE Conference on Intelligent Control and Automation.Beijing,China,2012:5112-5115

No related articles found!
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
No Suggested Reading articles found!