Improved Quantum-Inspired Genetic Algorithm Based Time-Frequency Analysis of Radar Emitter Signals

摘要

This paper uses an improved quantum-inspired genetic algorithm (IQGA) based time-frequency atom decomposition to analyze the construction of radar emitter signals. With time-frequency atoms containing the detailed characteristics of a signal, this method is able to extract specific information from radar emitter signals. As IQGA has good global search capability and rapid convergence, this method can obtain time-frequency atoms of radar emitter signals in a short span of time. Binary phase shift-key radar emitter signal and linear-frequency modulated radar emitter signal are taken for examples to analyze the structure of decomposed time-frequency atoms and to discuss the difference between the two signals. Experimental results show the huge potential of extracting fingerprint features of radar emitter signals.