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An anti-jamming model in unmanned aerial vehicle communication and a Stackelberg game subgradient algorithm

A drone and sub-gradient technology, applied in transmission monitoring, electrical components, transmission systems, etc., can solve problems such as unresolved multi-user coupling problems, no consideration of mutual interference, and inaccurate models, etc., to achieve clear physical meaning, Accurate modeling and the effect of quantitative solution

Inactive Publication Date: 2018-05-29
ARMY ENG UNIV OF PLA
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Problems solved by technology

[0003] However, none of the studies mentioned above considered the existence of mutual interference, and in the actual UAV communication scenario, the existence of mutual interference between users is a factor that cannot be ignored
Also, the coupling problem between multiple users is not solved
Therefore, previous models of anti-jamming power control problems that ignore mutual interference are not accurate enough

Method used

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  • An anti-jamming model in unmanned aerial vehicle communication and a Stackelberg game subgradient algorithm
  • An anti-jamming model in unmanned aerial vehicle communication and a Stackelberg game subgradient algorithm
  • An anti-jamming model in unmanned aerial vehicle communication and a Stackelberg game subgradient algorithm

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Embodiment 1

[0078] The first embodiment of the present invention is specifically described as follows, the system simulation adopts Matlab software, and the parameter setting does not affect the generality. This embodiment verifies the effectiveness and convergence of the proposed model and method, image 3 Verify convergence, Figure 4~6 Validation was verified. The scenario is that 5 UAVs are arranged in a 100m×100m grid, the fading coefficient δ=2, the channel bandwidth is B=5MHz, and the background noise is N 0 =-174dBm / Hz,E 2 =0.57×10 6 , the channel gain of UAV user 2 is α 2 =3.36×10 -4 , the channel gain of the intelligent jammer is β=2.95×10 -5 , and the UAV user mutual interference coefficients are θ 1 =1.69×10 -4 , θ 2 =2.39×10 -4 , the maximum transmission power of drone users is 10W, and the maximum transmission power of smart jammers is 100W. Under this parameter, when E 1 =0.52×10 6 and E 1 =0.57×10 6 , with α 1 The increase of , the utility change relationsh...

Embodiment 2

[0080] The second specific embodiment of the present invention is described as follows, the system simulation adopts Matlab software, and the parameter setting does not affect the generality. The scenario is that 5 UAVs are arranged in a 100m×100m grid, the fading coefficient δ=2, the channel bandwidth is B=5MHz, and the background noise is N 0 =-174dBm / Hz,E 1 =0.52×10 6 ,E 2 =0.57×10 6 , the channel gains of UAV user 1 and UAV user 2 are α 1 =2.93×10 -4 , α 2 =3.36×10 -4 , and the mutual interference coefficients are θ 1 =1.69×10 -4 , θ 2 =2.39×10 -4 , the maximum transmission power is 10W, and the maximum transmission power of the intelligent jammer is 100W. Under this parameter, consider respectively when C=0.25×10 6 and E 1 =0.27×10 6 , with the increase of β, the utility change relationship between UAV user 1 or UAV user 2 and the jammer.

[0081]The Steinberg game subgradient algorithm of the anti-jamming model of the UAV communication proposed by the pres...

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Abstract

The invention provides an anti-jamming model in unmanned aerial vehicle communication and a Stackelberg game subgradient algorithm. The model is characterized in that in a process of unmanned aerial vehicle group communication, a jammer jams user communication and mutual jamming also exists in the unmanned aerial vehicle group; the jammer and the unmanned aerial vehicle group achieve the maximum utility by adjusting respective transmission power. The algorithm is characterized in that firstly a Stackelberg game model is built, wherein the game leader is a jammer, and game followers are unmanned aerial vehicle users; unmanned aerial vehicle users perform communication; the intelligent jammer adjusts own transmission power to the optimum according to the transmission power of the unmanned aerial vehicle users, and then the unmanned aerial vehicle users adjust respective transmission power to the optimum according to the transmission power of the intelligent jammer; power adjustment is conducted circularly and alternately until the unmanned aerial vehicle users and the intelligent jammer converge to the optimal transmission power. The model is complete and the physical significance isclear; anti-jamming scenes in unmanned aerial vehicle communication can be better described.

Description

technical field [0001] The invention belongs to the technical field of wireless communication, and in particular relates to an anti-jamming model and a Steinberg game subgradient algorithm in unmanned aerial vehicle communication. Background technique [0002] With the large-scale development and application of UAV technology, the anti-jamming problem in the field of UAV communication has become increasingly severe, but the anti-jamming research in the past rarely involves the field of UAV communication. In the traditional power control anti-jamming research, E. Altman et al. first considered the transmission cost in the anti-jamming power transmission problem. (Reference: E. Altman, K. Avrachenkov, and A. Garnaev, "A jamming game in wireless networks with transmission cost," in Proc.NET-COOP 2007, (Avignon), pp.1-12, Jun.2007) . Considering the obvious hierarchical characteristics in the anti-jamming problem, researchers usually use the Steinberg game model to describe th...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04B17/391H04B17/309H04B17/345
CPCH04B17/309H04B17/345H04B17/3912
Inventor 任国春陈瑾徐逸凡徐煜华陈学强杨旸贾录良孔利君
Owner ARMY ENG UNIV OF PLA
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