Abstract
To understand the complex communication environment of a UAV in battlefield, its unknown channel statistics information and poor intelligent jamming and anti-jamming capability, the multi-domain anti-jamming problem is studied, and a multi-domain joint anti-jamming intelligent decision algorithm is proposed. First, the channel selection method is adopted to deal with jamming in the frequency domain. A multi-arm slot machine's channel selection model is established, and the channel interference level is judged. Secondly, the moderate interference channel is suppressed in the power domain, and the model of its Stackelberg game is established. The game equalization is solved to obtain the best transmission power and reduce the overhead caused by channel switching. The simulation results show that the long-term rewards of the intelligent decision algorithm are significantly higher than those of the traditional multi-arm slot machine's algorithm and the random selection algorithm and that the average throughput of the communication system of the UAV is improved, thus proving the superiority of the intelligent decision algorithm.
Highlights
式中, un∗ = max un,n = 1,2,...,M,E[ A∗( t) ] 是
[19] YANG D, XUE G, ZHANG J, et al Coping with a smart jammerin wireless networks: a Stackelberg game approach[ J]
The channel selection method is adopted to deal with jamming in the frequency domain
Summary
式中, un∗ = max un,n = 1,2,...,M,E[ A∗( t) ] 是 (2Qnεs( ds) -βs( εj( dj) -βj) 2P) ( BnN0 + εj( dj) -βjJ) 3 Qnεs εj( ds ) -βs( dj) -βjP ( BnN0 + εj( dj) -βjJ) 2 5 MHz, 衰 落 因 子 βs = βj = 3, 通 信 距 离 ds = 10 km,dj = 40 km,Pmax = 30 W,Jmax = 60 W。
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