Electronics Optics & Control, Volume. 23, Issue 10, 18(2016)
EKF for Nonlinear Relevance Systems with Random Measurement Loss
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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Received: Aug. 17, 2015
Accepted: --
Published Online: Nov. 18, 2016
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