Deinterleaving Radar Pulse Train Using Neural Networks

Deinterleaving of pulse sequences of radar signals is an essential task for the identification of radars by modern digital receiver. A continuous wavelet transform is used, with an appropriate mother and a specific resolution factor, determining the PRI values of the radar pulse sequences using thresholding. This time-frequency analysis is used for separating the spectral patterns of interest.