Atomic decomposition-based radar complex signal interception

Abstract

Atomic decomposition (AD) extracting the time–frequency characteristics of signals has been investigated in the frame of complex radar signal detection and classification. AD uses the chirplet dictionary to obtain high-resolution time–frequency representations. Significant improvements on previous AD algorithms have been introduced to increase the detection performance (dictionary extension) and to overcome the resolution problems of AD (greediness detector). An interception receiver based on AD has been analysed and characterised. It is composed of a two-stage scheme: detection of signal components through an AD-based detector, and modulation classifier using AD as a feature extractor.