SCIENCE CHINA Information Sciences, Volume 64 , Issue 8 : 182307(2021) https://doi.org/10.1007/s11432-020-3133-x

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

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  • ReceivedJun 3, 2020
  • AcceptedNov 24, 2020
  • PublishedJun 2, 2021



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  • Figure 1

    (Color online) System model of MUFFS.

  • Figure 2

    Illustration of the search space tree with $K$ = 2 and $N$ = 3.

  • Figure 3

    (Color online) An example of the channel allocation result using GCAA.

  • Table 1  

    Table 1Simulation parameters

    Parameter Value
    Center frequency 35 GHz [11]
    Antenna gain 38 dB [11]
    Radar cross-section 30 dBm [32]
    Maximum UAV transmission power 47 dBm
    Minimum UAV transmission power 30 dBm
    Cross-correlation factor $\beta$ $-20$ dB [25]
    AlgoriTheorem convergence threshold $\epsilon$ 0.01
    Maximum iteration number 5
    Maximum searching width $M$ 8
    Default distance of non-cooperative targets to be sensed 100 m
    Default number of channels 4
    Bandwidth of each channel 200 MHz
    SINR threshold for successful detection $T$ 10 dB [32]
  • Table 2  

    Table 2Performance comparison between Monte Carlo simulation and proposed ICAPCA

    Optimal minimum SINR
    via Monte Carlo simulation
    Minimum SINR
    via proposed ICAPCA
    Proportion of the Monte Carlo results
    better than proposed ICAPCA
    14.6591 dB 14.5265 dB 0.5%

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