  To improve the anti-jamming ability of the UAV-aided communication systems,
this paper investigates the channel selection optimization problem in face of
both internal mutual interference and external malicious jamming. A cooperative
anti-jamming method based on local altruistic is proposed to optimize UAVs'
channel selection. Specifically, a Stackelberg game is modeled to formulate the
confrontation relationship between UAVs and the jammer. A local altruistic game
is modeled with each UAV considering the utilities of both itself and other
UAVs. A distributed cooperative anti-jamming algorithm is proposed to obtain
the Stackelberg equilibrium. Finally, the convergence of the proposed algorithm
and the impact of the transmission power on the system loss value are analyzed,
and the anti-jamming performance of the proposed algorithm can be improved by
around 64% compared with the existing algorithms.
