Stochastic resonance signal processor: Principle, capacity analysis and method

Sun Shuifa, Kwong Sam

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

8 Citations (Scopus)

Abstract

In this letter, a signal processor based on the bistable aperiodic stochastic resonance (ASR), that can be used to detect the base-band binary pulse amplitude modulation (PAM) signal transmitting over an additive white Gaussian noise (AWGN) channel, is studied. The principle of the ASR signal processor is analyzed and the information capacity of such a communication system is evaluated by the Bit Error Ratio (BER) and the bit rate, according to the well-known Shannon information theory. The roles played by the noise on this capacity are analyzed. It is observed that keeping the bit rate unchanged we can neither decrease BER nor increase the bit rate and keep BER unchanged by adjusting the density of the noise. Simulation results also agree well with this observation. In addition, a statistical method to improve the performance of the system is proposed with theory and experiment. © World Scientific Publishing Company.
Original languageEnglish
Pages (from-to)631-639
JournalInternational Journal of Bifurcation and Chaos
Volume17
Issue number2
DOIs
Publication statusPublished - Feb 2007

Research Keywords

  • Aperiodic stochastic resonance
  • Information capacity
  • Signal processing

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