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Chaos-based wireless communication resisting multipath effects.

Jun-Liang Yao1, Chen Li1, Hai-Peng Ren1

  • 1Shaanxi Key Laboratory of Complex System Control and Intelligent Information Processing, Xi'an University of Technology, Xi'an 710048, China.

Physical Review. E
|January 20, 2018
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Summary
This summary is machine-generated.

Chaos-based wireless communication systems (CWCS) can overcome multipath interference. A novel thresholding method effectively resists inter-symbol interference, improving bit-error rate (BER) performance.

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Area of Science:

  • Chaos theory applications in telecommunications
  • Wireless communication systems engineering
  • Signal processing for chaotic signals

Background:

  • Chaotic signals offer optimal coherent communication waveform properties in additive white Gaussian noise channels.
  • The Lyapunov exponent spectrum of chaotic signals remains unaltered after wireless transmission, enabling chaos-based communication.
  • Inter-symbol interference (ISI) from multipath propagation is a critical challenge in achieving high data rates and low bit-error rates (BER) in wireless systems.

Purpose of the Study:

  • To develop a chaos-based wireless communication system (CWCS) capable of mitigating multipath propagation effects.
  • To investigate methods for resisting inter-symbol interference in CWCS.
  • To analyze the bit-error rate (BER) performance of the proposed system under various channel conditions.

Main Methods:

  • A CWCS was constructed using chaotic signals generated by a hybrid dynamical system.
  • Received signals were filtered using a matched filter to reduce noise.
  • A novel thresholding strategy based on regrouping the return map of received signals was employed to combat multipath effects.

Main Results:

  • The proposed method effectively resists multipath-induced inter-symbol interference.
  • An optimal threshold, dependent on channel parameters and information symbols, was identified.
  • A suboptimal threshold was derived for practical scenarios with time-variant channels and unavailable future symbols, showing competitive BER performance even with inaccurate channel parameters.

Conclusions:

  • Regrouping the return map and adaptive thresholding provide an effective solution for multipath resistance in CWCS.
  • The proposed suboptimal thresholding strategy offers robust performance in realistic, time-varying wireless environments.
  • Chaos-based wireless communication systems demonstrate significant potential for high-performance data transmission.