Electronics Optics & Control, Volume. 23, Issue 10, 18(2016)

EKF for Nonlinear Relevance Systems with Random Measurement Loss

AN Xi-bin1... HE Bing1, QIN Wei-wei1, LIN Hao-shen1 and QIAN Xiao-jun2 |Show fewer author(s)
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  • 2[in Chinese]
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    To the problem of random measurement loss in nonlinear systems, the Extend Kalman Filter (EKF) with random measurement loss and with relevance noise is studied.By using correlation coefficient and the transmission factor following Bernouli distribution, an EKF with random measurement loss is proposed for nonlinear systems with relevance noise.Finally, the algorithm is applied in tracking space non-collaborate objects, and its validity is proved.

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    AN Xi-bin, HE Bing, QIN Wei-wei, LIN Hao-shen, QIAN Xiao-jun. EKF for Nonlinear Relevance Systems with Random Measurement Loss[J]. Electronics Optics & Control, 2016, 23(10): 18

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    Paper Information

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    Received: Aug. 17, 2015

    Accepted: --

    Published Online: Nov. 18, 2016

    The Author Email:

    DOI:10.3969/j.issn.1671-637x.2016.10.004

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