Research on single target jamming parameter optimization based on particle swarm optimization

Le résumé fourni par la source

In order to achieve effective jamming, it is often necessary to select jamming patterns according to expert experience in radar electronic countermeasures. However, different jamming patterns correspond to a large number of variable parameters a large range of parameters, a large space of inverted parameters, and it is difficult to set the optimal jamming parameters. The application of particle swarm optimization in single target jamming parameter optimization is studied in this work. Construct jamming income function according to jamming incentives of different jamming patterns. The particle swarm optimization algorithm is used to optimize the jamming parameters of different jamming styles and output the optimal parameters and corresponding jamming signals. The research shows that the algorithm model can be quickly optimized in multi-dimensional apace by designing a reasonable jamming revenue function, which can realize the rapid the threat jamming target, and can significantly improve the adaptive jamming waveform generation ability of the jamming to various types of radars.

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