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Joint resource allocation and power control for radar interference mitigation in multi-UAV networks

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Abstract

Navigation problems of unmanned air vehicles (UAVs) flying in a formation have been investigated recently, where collision avoidance is a significant issue to be addressed. In this paper, we study resource allocation and power control for radar sensing in a multi- unmanned aerial vehicle (multi-UAV) formation flight system where multiple UAVs simultaneously perform radar sensing. To cope with mutual radar interference among the UAVs, we formulate a joint channel allocation and UAV transmission power control problem to maximize the minimum signal-to-interference-plus-noise ratio (SINR) of the radar echo signals. We then propose a computationally practical method to solve this NP-hard problem by decomposing it into two sub-problems, i.e., channel allocation and transmission power control. An iterative channel allocation and power control algorithm (ICAPCA) is proposed to jointly solve these two sub-problems. We also propose a reduced-complexity greedy channel allocation algorithm (GCAA), which can also be used to provide an initial solution to ICAPCA. Simulation results show that the proposed ICAPCA and GCAA can improve the minimum SINR and radar sensing performance significantly.

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Acknowledgements

This work was supported in part by National Natural Science Foundation of China (Grant Nos. U20B2039, 61871032).

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Authors and Affiliations

  1. School of Information and Electronics, Beijing Institute of Technology, Beijing, 100081, China

    Xinyi Wang, Zesong Fei & Jingxuan Huang

  2. Beijing Institute of Technology Chongqing Innovation Center, Chongqing, 401120, China

    Xinyi Wang & Zesong Fei

  3. School of Electrical and Data Engineering, University of Technology Sydney, Sydney, 2007, Australia

    J. Andrew Zhang

  4. School of Electrical Engineering and Telecommunications, University of New South Wales, Sydney, 2052, Australia

    Jinhong Yuan

Authors
  1. Xinyi Wang
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  2. Zesong Fei
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  3. Jingxuan Huang
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  4. J. Andrew Zhang
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  5. Jinhong Yuan
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Correspondence to Zesong Fei.

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Wang, X., Fei, Z., Huang, J. et al. Joint resource allocation and power control for radar interference mitigation in multi-UAV networks. Sci. China Inf. Sci. 64, 182307 (2021). https://doi.org/10.1007/s11432-020-3133-x

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  • DOI: https://doi.org/10.1007/s11432-020-3133-x

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