The application of stochastic resonance in parameter estimation for PSK signals

Stochastic Resonance (SR) is a nonlinear phenomenon that the input signal's signal-to-noise ratio (SNR) could be enhanced under special conditions. This paper proposes a novel parameter estimation algorithm for PSK signals based on SR. By introducing a nonlinear system into traditional estimati...

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Bibliographic Details
Published in2015 IEEE International Conference on Communication Software and Networks (ICCSN) pp. 166 - 172
Main Authors Yafeng Zhan, Chaowei Duan
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.06.2015
Subjects
Algorithm design and analysis
Cramer-Rao Bound
Estimation
Frequency modulation
Parameter estimation
Phase shift keying
PSK
Signal to noise ratio
Stochastic Resonance
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Summary:Stochastic Resonance (SR) is a nonlinear phenomenon that the input signal's signal-to-noise ratio (SNR) could be enhanced under special conditions. This paper proposes a novel parameter estimation algorithm for PSK signals based on SR. By introducing a nonlinear system into traditional estimation algorithms to enhance the signal's SNR, this proposed algorithm can achieve higher accuracy with respect to the traditional algorithm at the same SNR condition. Computer simulation shows the efficiency of this new algorithm.
ISBN:1479919837
9781479919833
DOI:10.1109/ICCSN.2015.7296147