A radar pulse train deinterleaving method for missing and short observations

Abstract

Radar pulse train deinterleaving is a key aspect of electronic support measurement systems. Identifying correct hidden periods is a prerequisite for completing the subsequent signal processing with high quality. Consequently, according to the sparsity of the interleaved radar pulse train, a new radar mixed pulse train deinterleaving algorithm based on the extended Farey dictionary and improved generalized orthogonal matching pursuit (igOMP) is proposed. This method is particularly suitable for the interleaving of the short and highly interleaved missing pulse train in complex electromagnetic environments. In addition, a novel threshold criterion is proposed to precisely extract hidden periods of the interleaved pulse train in the presence of pseudo-peaks. The simulation results demonstrate that the proposed algorithm improves the estimation accuracy of the hidden period and is robustness to the short, staggered radar interleaved pulse train with a large number of missing pulses.