ZHANG Xinxin, GUO Chengjun, CHENG Yawen. Optimal Design of Interference Source Based on Ant Colony Algorithm[J]. GNSS World of China, 2017, 42(3): 20-26. DOI: 10.13442/j.gnss.1008-9268.2017.03.005
Citation: ZHANG Xinxin, GUO Chengjun, CHENG Yawen. Optimal Design of Interference Source Based on Ant Colony Algorithm[J]. GNSS World of China, 2017, 42(3): 20-26. DOI: 10.13442/j.gnss.1008-9268.2017.03.005

Optimal Design of Interference Source Based on Ant Colony Algorithm

  •     In the new form of electronic warfare against war, the implementation of effective interference with satellite navigation will greatly weaken the enemy's combat capability. In order to implement effective interference to a particular area, the choice of deployment scheme for interference sources is critical. In order to achieve the desired interference effect, this paper models the deployment problem of satellite navigation jamming based on the principle of suppression and deceptive jamming and the characteristics of modern warfare, and chooses the jamming benefit and average risk index The multiobjective combinatorial optimization model, and the ant colony algorithm to optimize the deployment plan. Simulation analysis shows that the chaotic ant colony algorithm can effectively optimize the deployment plan of jamming sources and realize effective interference to satellite navigation.
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