Signal deinterleaving algorithm for dwell and switch radar
The signal deinterleaving of dwell and switch radar in complex electromagnetic environments is a bottleneck that limits the development of electronic reconnaissance technology.The signal sub-cycles are difficult to be detected due to their complex and variable forming laws.The pulse sequences cannot be successfully extracted due to the unknown pulse repetition period modulation type,and the false alarms caused by extracted multiple sub-cycle pulse sequences that cannot be combined into one single radar signal.To address the above problems,a signal deinterleaving algorithm is proposed for the dwell and switch radar.The proposed algorithm enhances the detection probability of signal sub-cycles with double-threshold method,and the Hough transform is combined with iterative self-organizing clustering to determine whether the signal belongs to the dwell and switch radar,improving the search algorithm to extract pulse sequences,and combining multiple pulse sequences into one dwell and switch radar signal based on the permutation entropy index.Simulation experiments show that the proposed algorithm can successfully deinterleave the three dwell and switch radar signals in a complex electromagnetic environment with a pulse loss rate of 25％.
dwell and switchsignal deinterleavingHough transformpulse sequence searchpermutation entropy
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