This paper proposes a joint path planning and transmit resource scheduling (JPP-TRS) algorithm for target tracking in airborne radar networks. The aim of our algorithm is to achieve the better target tracking accuracy by cooperatively adjusting the path planning, transmit power, dwell time, waveform bandwidth, and pulse length of each airborne radar, while satisfying the predefined low probability of intercept (LPI) performance requirement and given system resource budgets. The Bayesian Cramér-Rao lower bound (BCRLB) and probability of intercept of the underlying system are derived and utilized to gauge the target tracking accuracy and LPI performance, respectively. Since the JPP-TRS problem is a non-convex and non-linear optimization model, we put forward a fast and efficient three-step solution method to tackle the above problem. Numerical results are provided to verify the superior performance of our proposed algorithm compared with other existing schemes.


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    Title :

    Joint Path Planning and Transmit Resource Scheduling Algorithm for Target Tracking in Airborne Radar Networks


    Additional title:

    Lect. Notes Electrical Eng.


    Contributors:
    Wu, Meiping (editor) / Niu, Yifeng (editor) / Gu, Mancang (editor) / Cheng, Jin (editor) / Shi, Chenguang (author) / Wang, Yijie (author) / Dai, Xiangrong (author) / Wang, Fei (author) / Zhou, Jianjiang (author)

    Conference:

    International Conference on Autonomous Unmanned Systems ; 2021 ; Changsha, China September 24, 2021 - September 26, 2021



    Publication date :

    2022-03-18


    Size :

    9 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English