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A Dynamic Histogram Deinterleaving Algorithm Based on Correlated Pulse Pairs
Feng ZUO, Lanying CAO, Jian YANG
Modern Defense Technology    2023, 51 (1): 59-66.   DOI: 10.3969/j.issn.1009-086x.2023.01.008
Abstract6060)   HTML354)    PDF (1286KB)(244)       Save

Aiming at the problem that existing deinterleaving algorithms' accuracy and efficiency decrease in a complex electromagnetic environment, a dynamic histogram deinterleaving method is proposed based on correlated pulse pairs. The process firstly performs fixed box length statistics on the difference of TOA(time of arrival). It merges adjacent boxes higher than the detection threshold to obtain dynamic histogram statistics and estimate the potential PRI(pulse repetition interval). By analyzing correlation pulse pairs corresponding to the potential PRI, the false PRI is eliminated, and the amount of jitter of the real PRI is estimated. Finally, the pulse sequence search is completed according to the PRI parameters to realize the deinterleaving of radar signals. Simulation experiments show that the method can achieve 95% accuracy in deinterleaving multiple complex PRI modulated signals under a lower depth and the technique can effectively deinterleave radar signals in a complex electromagnetic environment.

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