Electronics Optics & Control, Volume. 30, Issue 5, 105(2023)

Target Tracking Waveform Optimization Algorithm Based on Improved Interactive Multi-model Filtering

JIA Ru... ZHANG Zhenkai and DU Cong |Show fewer author(s)
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    References(8)

    [1] [1] CAO X,ZHENG Z,AN D.Adaptive waveform selection algorithm based on reinforcement learning for cognitive radar[C]//IEEE 2nd International Conference on Automation,Electronics and Electrical Engineering(AUTEEE).Shenyang:IEEE,2019:208-213.

    [2] [2] YAO Y,ZHAO J H,WU L N.Cognitive design of radar waveform and the receive filter for multitarget parameter estimation[J].Journal of Optimization Theory and Applications,2019,181(2):684-705.

    [5] [5] BEUN S L.Cognitive radar:waveform design for target detection[C]//IEEE MTT-S International Microwave Symposium.Seattle,WA:IEEE,2017:330-332.

    [6] [6] HERBERT S,HOPGOOD J R,MULGREW B.Computationally simple MMSE (A-Optimal) adaptive beam-pattern design for MIMO active sensing systems via a linear-Gaussian approximation[J].IEEE Transactions on Signal Processing,2018,66(18):4935-4945.

    [7] [7] XUE Y B.Cognitive radar:theory and simulations[D].Hamilton:McMaster University,2010.

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    JIA Ru, ZHANG Zhenkai, DU Cong. Target Tracking Waveform Optimization Algorithm Based on Improved Interactive Multi-model Filtering[J]. Electronics Optics & Control, 2023, 30(5): 105

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    Paper Information

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    Received: May. 3, 2022

    Accepted: --

    Published Online: Nov. 29, 2023

    The Author Email:

    DOI:10.3969/j.issn.1671-637x.2023.05.020

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