Abstract
Due to the coexistence of multiple electromagnetic interference, the operational performance of radar equipment will be seriously affected. Therefore, it is necessary to study the anti-jamming problem of airborne radar. In view of the problem that airborne radar is easily affected by point source signal interference under the traditional method, an airborne radar anti-jamming method based on artificial intelligence is proposed. The anti-jamming method is designed. Firstly, the airborne radar is detected by frequency shift, and the detected information is analyzed to judge the jamming environment and identify the point source target intelligently. Then the suppression jamming filter is generated based on the analysis of the point source jamming information, and then the suppression jamming signal is output. Finally, the anti-jamming method of airborne radar is obtained. The performance results of the airborne radar anti-point source jamming method are analyzed by simulation experiments. Compared with traditional method, the proposed anti-jamming method can effectively suppress the point source jamming information, the radar signal is clearer and the anti-jamming effect is better. The results verify the effectiveness of the proposed method.
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© 2021 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Liu, Za., Lu, Jg., Dong, Z., Jie, Yh. (2021). Research on Anti-point Source Jamming Method of Airborne Radar Based on Artificial Intelligence. In: Liu, S., Xia, L. (eds) Advanced Hybrid Information Processing. ADHIP 2020. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 348. Springer, Cham. https://doi.org/10.1007/978-3-030-67874-6_15
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DOI: https://doi.org/10.1007/978-3-030-67874-6_15
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