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Title: Experimental validation of wireless communication with chaos

Abstract

The constraints of a wireless physical media, such as multi-path propagation and complex ambient noises, prevent information from being communicated at low bit error rate. Surprisingly, it has only recently been shown that, from a theoretical perspective, chaotic signals are optimal for communication. It maximises the receiver signal-to-noise performance, consequently minimizing the bit error rate. This work demonstrates numerically and experimentally that chaotic systems can in fact be used to create a reliable and efficient wireless communication system. Toward this goal, we propose an impulsive control method to generate chaotic wave signals that encode arbitrary binary information signals and an integration logic together with the match filter capable of decreasing the noise effect over a wireless channel. The experimental validation is conducted by inputting the signals generated by an electronic transmitting circuit to an electronic circuit that emulates a wireless channel, where the signals travel along three different paths. The output signal is decoded by an electronic receiver, after passing through a match filter.

Authors:
; ;  [1]; ;  [2]
  1. Shaanxi Key Laboratory of Complex System Control and Intelligent Information Processing, Xian University of Technology, Xian 710048 (China)
  2. Institute for Complex System and Mathematical Biology, SUPA, University of Aberdeen, Aberdeen AB24 3UE (United Kingdom)
Publication Date:
OSTI Identifier:
22596442
Resource Type:
Journal Article
Resource Relation:
Journal Name: Chaos (Woodbury, N. Y.); Journal Volume: 26; Journal Issue: 8; Other Information: (c) 2016 Author(s); Country of input: International Atomic Energy Agency (IAEA)
Country of Publication:
United States
Language:
English
Subject:
71 CLASSICAL AND QUANTUM MECHANICS, GENERAL PHYSICS; 97 MATHEMATICAL METHODS AND COMPUTING; CHAOS THEORY; DATA TRANSMISSION; ELECTRONIC CIRCUITS; FILTERS; NOISE; SIGNALS; SIGNAL-TO-NOISE RATIO

Citation Formats

Ren, Hai-Peng, Bai, Chao, Liu, Jian, Baptista, Murilo S., and Grebogi, Celso. Experimental validation of wireless communication with chaos. United States: N. p., 2016. Web. doi:10.1063/1.4960787.
Ren, Hai-Peng, Bai, Chao, Liu, Jian, Baptista, Murilo S., & Grebogi, Celso. Experimental validation of wireless communication with chaos. United States. doi:10.1063/1.4960787.
Ren, Hai-Peng, Bai, Chao, Liu, Jian, Baptista, Murilo S., and Grebogi, Celso. Mon . "Experimental validation of wireless communication with chaos". United States. doi:10.1063/1.4960787.
@article{osti_22596442,
title = {Experimental validation of wireless communication with chaos},
author = {Ren, Hai-Peng and Bai, Chao and Liu, Jian and Baptista, Murilo S. and Grebogi, Celso},
abstractNote = {The constraints of a wireless physical media, such as multi-path propagation and complex ambient noises, prevent information from being communicated at low bit error rate. Surprisingly, it has only recently been shown that, from a theoretical perspective, chaotic signals are optimal for communication. It maximises the receiver signal-to-noise performance, consequently minimizing the bit error rate. This work demonstrates numerically and experimentally that chaotic systems can in fact be used to create a reliable and efficient wireless communication system. Toward this goal, we propose an impulsive control method to generate chaotic wave signals that encode arbitrary binary information signals and an integration logic together with the match filter capable of decreasing the noise effect over a wireless channel. The experimental validation is conducted by inputting the signals generated by an electronic transmitting circuit to an electronic circuit that emulates a wireless channel, where the signals travel along three different paths. The output signal is decoded by an electronic receiver, after passing through a match filter.},
doi = {10.1063/1.4960787},
journal = {Chaos (Woodbury, N. Y.)},
number = 8,
volume = 26,
place = {United States},
year = {Mon Aug 15 00:00:00 EDT 2016},
month = {Mon Aug 15 00:00:00 EDT 2016}
}