Spectral Sidelobe Suppression of Nonuniform Pulse Repetition Frequency Waveforms in Strong Clutter

Standard spectral analysis of nonuniform sampled signals generates undesirable sidelobe levels and cannot be controlled via a window function as in the case of uniform sampled signals. We analyse two periodogram based techniques and four interpolation based techniques, and find that the iterative adaptive periodogram and the weighted bandlimited interpolation techniques are capable of achieving desired sidelobe levels. The weighted bandlimited interpolation is computationally less demanding and generates a spectrum similar to the uniform sampled signals, hence has advantages over the other techniques considered.