SNR Estimation in Communication Systems Using Cognitive Radio

Turkben, Ogr. Uyesi Ayca Kurnaz; Al-Akraa, Vivian Sabah Akram

doi:10.1109/iiceta54559.2022.9888467

Cited by 1 publication

(1 citation statement)

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“…Being a critical performance parameter that affects the reliability and throughput of both wire and wireless communications, the level of SNR is often estimated to dynamically adjust transmitter and receiver parameters. Many classical and recent works on the SNR estimation algorithms for communication systems indicate the high importance of the subject (Arslan and Reddy 2003; Hasan and Shongwe 2017; Khan et al 2017;Türkben and Al-Akraa 2022). Having information about the current SNR level, the expression for calculating K opt may be used for both selecting the symbol length at the transmitter side and for adjusting K at the receiver side.…”

Section: Discussionmentioning

confidence: 99%

Estimating Optimal Synchronization Parameters for Coherent Chaotic Communication Systems in Noisy Conditions

Rybin

Babkin

Kvitko

et al. 2023

Chaos Theory and Applications

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It is known, that coherent chaotic communication systems are more vulnerable to noise in the transmission channel than conventional communications. Among the methods of noise impact reduction, such as extended symbol length and various digital filtering algorithms, the optimization of the synchronization coefficient may appear as a very efficient and simple straightforward approach. However, finding the optimal coefficient for the synchronization of two chaotic oscillators is a challenging task due to the high sensitivity of chaos to any disturbances. In this paper, we propose an algorithm for finding the optimal synchronization parameter K_opt for a coherent chaos-based communication system affected by various noises with different signal-to-noise ratios (SNR). It is shown, that under certain conditions, optimal $K$ provides the lowest possible bit error rate (BER) during the transmission. In addition, we show that various metrics applied to the message demodulation task propose different noise immunity to the overall system. For the experimental part of the study, we simulated and physically prototyped two chaotic communication systems based on well-known Rossler and Lorenz chaotic oscillators. The microcontroller-based prototype of a chaotic communication system was developed to investigate the influence of noise in the real transmission channel. The experimental results obtained using the designed hardware testbench are in good correspondence with the theoretical propositions of the study and simulation results. The suggested evaluation metrics and optimization algorithms can be used in the design of advanced chaos-based communication systems with increased performance.

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Section: Discussionmentioning

confidence: 99%