Stochastic Resonance Based on Quantum Genetic Algorithm and Applications in Weak Signal Detection

DOI

10.2991/isrme-15.2015.439How to use a DOI?

Keywords

Quantum Genetic Algorithm(QGA); Adaptive Stochastic Resonance(ASR); Weak Signal Detection

Abstract

Stochastic resonance(SR) is one of the applications in weak signal detection. Many researchers used the combination of the traditional first-order bistable system and genetic algorithm(GA), but the output of first-order bistable system is not smoothly enough, genetic algorithm has the phenomenon of losting in locally value. Aimming at the drawbacks above, second-order and under-damped stochastic resonance based on quantum genetic algorithm(QGA) is proposed. The test in simulation data and vibreation signals show that the presented method can raise the SNR ratio effectively, which has advantages of simplicity and fast convergence speed.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Jing Zhe
AU  - Guo Li
AU  - Ruigang Zhang
PY  - 2015/04
DA  - 2015/04
TI  - Stochastic Resonance Based on Quantum Genetic Algorithm and Applications in Weak Signal Detection
BT  - Proceedings of the 2015 International Conference on Intelligent Systems Research and Mechatronics Engineering
PB  - Atlantis Press
SP  - 2120
EP  - 2124
SN  - 1951-6851
UR  - https://doi.org/10.2991/isrme-15.2015.439
DO  - 10.2991/isrme-15.2015.439
ID  - Zhe2015/04
ER  -