Literature DB >> 27586613

Experimental validation of wireless communication with chaos.

Hai-Peng Ren1, Chao Bai1, Jian Liu1, Murilo S Baptista2, Celso Grebogi2.   

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.

Year:  2016        PMID: 27586613     DOI: 10.1063/1.4960787

Source DB:  PubMed          Journal:  Chaos        ISSN: 1054-1500            Impact factor:   3.642


  3 in total

1.  Generating and Detecting Solvable Chaos at Radio Frequencies with Consideration to Multi-User Ranging.

Authors:  Aubrey N Beal; Seth D Cohen; Tamseel M Syed
Journal:  Sensors (Basel)       Date:  2020-01-31       Impact factor: 3.576

2.  Pattern generation and symbolic dynamics in a nanocontact vortex oscillator.

Authors:  Myoung-Woo Yoo; Damien Rontani; Jérémy Létang; Sébastien Petit-Watelot; Thibaut Devolder; Marc Sciamanna; Karim Bouzehouane; Vincent Cros; Joo-Von Kim
Journal:  Nat Commun       Date:  2020-01-30       Impact factor: 14.919

3.  Blind Frequency Estimation and Symbol Recovery for the Analytically Solvable Chaotic System.

Authors:  Ang Zhou; Shilian Wang; Junshan Luo
Journal:  Entropy (Basel)       Date:  2019-08-13       Impact factor: 2.524

  3 in total

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