Radar emitter signal recognition is currently the hot field of radar countermeasures. The unintentional modulation feature of radar signal is unique and stable, thus becoming a good choice of radar emitter feature while analyzing. In this paper, we use matching pursuit (MP) algorithm with Gabor atoms to apply atomic decomposition to emitter signal added with unintentional modulation, and successfully extracted such modulation features. These features can be effectively used to restructure radar signal and distinguish radar emitters. Due to the compute-intensive feature of MP algorithm, we introduce a quantum genetic algorithm (QGA), which reduces the computational complexity of each step when signal decomposing.
A Rapid Method of Extracting Unintentional Modulation Feature Using Gabor Atoms
Lect. Notes Electrical Eng.
Proceedings of the 27th Conference of Spacecraft TT&C Technology in China ; Kapitel : 41 ; 455-463
2014-10-07
9 pages
Aufsatz/Kapitel (Buch)
Elektronische Ressource
Englisch
A Rapid Method of Extracting Unintentional Modulation Feature Using Gabor Atoms
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