Title :
Detection of Amplitude-varied Weak Signal by Genetic Adaptive Stochastic Resonance Algorithm
Author :
Yi, Xu ; Rui, Wang ; Fei, Wang
Author_Institution :
Electron. Eng. Inst., Hefei
Abstract :
For the important role that adaptive stochastic resonance plays in weak signal detection, an adaptive stochastic resonance algorithm with genetic algorithm is proposed. Furthermore, the algorithm is optimized by using niche technique and ´cross generational elitist selection´ technique. The paper gives the realization steps of the algorithm and its simulation. The results of experiments indicate that the frequency of carrier in the weak amplitude modulated signal can be recognized through the algorithm. The problem that the time-varied amplitude signal cannot be detected by traditional algorithm is resolved so as to extend the application scope of adaptive stochastic resonance in engineering realization.
Keywords :
adaptive signal detection; amplitude modulation; signal processing; amplitude modulated signal; amplitude-varied weak signal; cross generational elitist selection technique; genetic adaptive stochastic resonance algorithm; niche technique; weak signal detection; Adaptive signal detection; Amplitude modulation; Circuit noise; Genetic algorithms; Instruments; Noise level; Potential well; Signal detection; Stochastic resonance; Strontium; Stochastic Resonance; adaptive; amplitude modulated signal; genetic algorithm;
Conference_Titel :
Electronic Measurement and Instruments, 2007. ICEMI '07. 8th International Conference on
Conference_Location :
Xi´an
Print_ISBN :
978-1-4244-1136-8
Electronic_ISBN :
978-1-4244-1136-8
DOI :
10.1109/ICEMI.2007.4350760