Sidelobe suppression using adaptive filtering techniques

This paper presents an application of adaptive filtering in sidelobe suppression for radar pulse compression. Traditionally, windowing techniques are employed to reduce the sidelobe levels in the compressed waveform, at the expense of slightly reduced SNR and broadened main pulse width. The proposed adaptive filters use the ideal compressed waveform as reference response for training. Two simple adaptive filter algorithms: least mean square (LMS) and recursive least square (RLS) are used. The results indicate that sidelobe may be significantly reduced and main pulse remains narrow