IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
Online ISSN : 1745-1337
Print ISSN : 0916-8508

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Intelligent Interference Waveform Design for Radar Tracking
Haijun WangTao HuDongdong ChenHuiwei YaoRunze HeDi WuZhifu Tian
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JOURNAL FREE ACCESS Advance online publication

Article ID: 2024EAP1083

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Abstract

This study addresses the issue of designing false target waveforms for radar tracking and proposes an intelligent radar-tracking interference waveform design method, the MMISCKF algorithm. The study introduces the residual constraint function of the square root cubature Kalman filter, distance-velocity coupling constraint function, and improved genetic algorithm and designs interference effectiveness evaluation indicators. Comparative experiments show that the MMISCKF interference algorithm can effectively avoid suppression by radar anti-interference methods and achieve radar-tracking loss faster than uniform acceleration towing. The theoretical analysis and experimental results demonstrate that the proposed MMISCKF interference algorithm is a fast and effective radar-tracking false target deception method holding theoretical and engineering significance.

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