Chaos-based Wireless Communication Resisting Multipath Effects

TL;DR

This paper presents a chaos-based wireless communication system that effectively resists multipath effects by regrouping return maps and using adaptive thresholds, achieving robust performance despite channel variations.

Contribution

It introduces a novel CWCS implementation that employs a regrouped return map and a suboptimal threshold to combat multipath interference in wireless channels.

Findings

Effective multipath resistance demonstrated through simulation

Suboptimal threshold achieves near-optimal BER performance

System maintains robustness with time-variant channel parameters

Abstract

In additive white gaussian noise (AWGN) channel, chaos has been proved to be the optimal coherent communication waveform in the sense of using very simple matched filter to maximize the signal-to-noise ratio (SNR). Recently, Lyapunov exponent spectrum of the chaotic signals after being transmitted through a wireless channel has been shown to be unaltered, paving the way for wireless communication using chaos. In wireless communication systems, inter-symbol interference (ISI) caused by multipath propagation is one of the main obstacles to achieve high bit transmission rate and low bit error rate (BER). How to resist multipath effect is a fundamental problem in a chaos-based wireless communication system (CWCS). In this paper, implementation of a CWCS is presented. It is built to transmit chaotic signals generated by a hybrid dynamical system and then to filter the received signals by using the corresponding matched filter to decrease the noise effect and to detect the binary information. We find that the multipath effect can be effectively resisted by regrouping the return map of the received signal and by setting the corresponding threshold based on the available information. We show that the optimal threshold is a function of the channel parameters and of the transmitted information symbols. Practically, the channel parameters are time-variant, and the future information symbols are unavailable. In this case, a suboptimal threshold (SOT) is proposed, and the BER using the SOT is derived analytically. Simulation results show that the CWCS achieves a remarkable competitive performance even under inaccurate channel parameters.