Research on Jamming Resource Allocation Technology Based on Improved GAPSO Algorithm

Author:

Liu Fang,Wang Yanwei,Chen Jiabei,Wang Qingping,Yuan Naichang

Abstract

Abstract In this paper, firstly, the influence factors of different electronic loads on radar are analyzed from various angles, and a resource allocation model is built for penetration scenarios. Then, the evaluation indexes of radar in different working stages are explained and fused to construct a scientific and reasonable objective function. Finally, a genetic particle swarm(GAPSO) algorithm based on two-dimensional parallel coding is creatively proposed, and the parameters of the algorithm are adjusted adaptively to improve the performance of the algorithm. The simulation results show that the improved GAPSO algorithm has obvious effectiveness and superiority in solving the resource allocation problem in process of jammers shielding target penetration.

Publisher

IOP Publishing

Subject

General Physics and Astronomy

Reference12 articles.

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3. Smart Noise Jamming Technology of Radar Frequency Modulation[J];Guo;Journal of Xidian University,2013

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