Electronics Optics & Control, Volume. 23, Issue 5, 1(2016)

Target Tracking Based on Modified Particle Filter Algorithm in Compound K Noise Environment

CAI Zong-ping... NIU Chuang, ZHANG Xue-ying, DAI Ding-cheng and ZHU Bin |Show fewer author(s)
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    References(4)

    [1] [1] ARASARATNAM I, HAYKIN S.Cubature Kalman filters[J].IEEE Transactions on Automatic Control, 2009, 54(6):1254-1269.

    [3] [3] DE FREITAS J F G, NIRANJAN M, GEE A H, et al.Sequential Monte Carlo methods to train neural network models[J].Neural Computation, 2000, 12(4):955-993.

    [4] [4] VAN DER MERWE R, DOUCET A, DE FREITAS N, et al.The unscented particle filter[Z].Cambridge:Cambridge University Engineering Department, 2000.

    [7] [7] ABRAHAM D A, LYONS A P.Novel physical interpretations of K-distributed reverberation[J].IEEE Journal of Oceanic Engineering, 2002, 27(4):800-813.

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    CAI Zong-ping, NIU Chuang, ZHANG Xue-ying, DAI Ding-cheng, ZHU Bin. Target Tracking Based on Modified Particle Filter Algorithm in Compound K Noise Environment[J]. Electronics Optics & Control, 2016, 23(5): 1

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    Paper Information

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    Received: May. 12, 2015

    Accepted: --

    Published Online: Jun. 6, 2016

    The Author Email:

    DOI:10.3969/j.issn.1671-637x.2016.05.001

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