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Atomic decomposition-based radar complex signal interception

Atomic decomposition-based radar complex signal interception

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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.

Inspec keywords: signal classification; radar detection; time-frequency analysis; feature extraction; signal representation; radar resolution

Other keywords: feature extractor; greediness detector; chirplet dictionary; high-resolution time-frequency representations; AD algorithms; time-frequency characteristics; radar signal detection; interception receiver; modulation classifier; complex signal interception; atomic decomposition-based radar signal interception; radar signal classification; dictionary extension

Subjects: Radar theory; Signal detection; Mathematical analysis

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