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

Abstract

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

HU Yu-mei, HU Zhen-tao, ZHENG Shan-shan, LI Xian and GUO Zhen. Novel Target Tracking Algorithm Based on Joint Estimation of System Error and State[J].Computer Science, 2015, 42(11): 310-313.

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URL: https://www.jsjkx.com/EN/10.11896/j.issn.1002-137X.2015.11.063

https://www.jsjkx.com/EN/Y2015/V42/I11/310

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