Abstract
The current work presents a study of the implementation of a quadrature chaos phase-shift keying communication system (QCPSK) based on the employment of different chaos oscillators. The research takes two directions, with one being the study of the chaos synchronization’s noise immunity for several chaos oscillators that are the potential core blocks of the QCPSK system. The correlation coefficient over time is used to estimate the synchronization noise immunity. The second direction is the estimation of the QCPSK system’s baseband model performance in the AWGN propagation channel using the bit error ratio (BER) as the estimation method for several chaos oscillators employed as the core of the QCPSK system’s model.
Highlights
The reason for the increasing interest in the employment of chaos phenomenon as a building block in the design of communication systems is supported by the characteristics of the chaos-based communication systems: non-periodic, noise-like signal waveform, wide frequency bandwidth, and sensitive dependence on initial conditions
In the ongoing digital transformation of the world in such directions as the internet of things (IoT) and wireless sensor networks (WSNs), there is a demand for highly efficient, wideband, secure communication, that could be ensured by the use of chaos-based data transmission systems [1,2]
Having grasped the benefits of the employment of chaos in data communication, the various chaos-based modulation schemes were introduced and studied. These modulation schemes are generally divided into two broad groups: noncoherent modulation schemes and coherent modulation schemes
Summary
The reason for the increasing interest in the employment of chaos phenomenon as a building block in the design of communication systems is supported by the characteristics of the chaos-based communication systems: non-periodic, noise-like signal waveform, wide frequency bandwidth, and sensitive dependence on initial conditions. These properties allow the additional physical layer of security for the information transfer. Having grasped the benefits of the employment of chaos in data communication, the various chaos-based modulation schemes were introduced and studied. The final block interprets the results of the correlation coefficient as binary “1” if β > 0 and “0” if β < 0, thereby acquiring the decoded message signal m(t) [16]
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