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

作　　者：Xinyi WANG Zesong FEI Jingxuan HUANG J.Andrew ZHANG Jinhong YUAN 

机构地区：[1]School of Information and Electronics,Beijing Institute of Technology,Beijing 100081,China [2]Beijing Institute of Technology Chongqing Innovation Center,Chongqing 401120,China [3]School of Electrical and Data Engineering,University of Technology Sydney,Sydney 2007,Australia [4]School of Electrical Engineering and Telecommunications,University of New South Wales,Sydney 2052,Australia

出　　处：《Science China(Information Sciences)》2021年第8期100-112,共13页中国科学（信息科学）（英文版）

基　　金：National Natural Science Foundation of China(Grant Nos.U20B2039,61871032).

摘　　要：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.

关 键 词：multi-UAV network radar sensing channel allocation power control 

分 类 号：V279[航空宇航科学与技术—飞行器设计] TN974[电子电信—信号与信息处理]