Implementation of Chaotic Frequency Modulation Based Spread Spectrum Communication System in Software-Defined Radio

2023 IEEE Wireless Communications and Networking Conference (WCNC 2023) 2023
Artūrs Āboltiņš, Filips Čapligins, Nikolajs Tihomorskis, Andreas Ahrens

This paper is devoted to the software-defined radio (SDR) implementation of frequency modulated antipodal chaos shift keying (FM-ACSK) communication system. This novel and perspective class of spread-spectrum systems employs chaotic synchronization for the acquisition and tracking of the spreading signal and does not need resource-demanding cross-correlation usually employed for this purpose. This paper aims to present how to implement a full FM-ACSK communication system, including additional synchronization circuitry, using SDR and MATLAB Simulink. Moreover, for the first time, the performance of FM-ACSK in real conditions using over-the-air transmission between two SDRs is assessed. In the paper, it is shown that the presented class of the spread spectrum systems demonstrates good performance in low signal-to-noise ratio (SNR) conditions, and it is immune to large carrier frequency offset (CFO). The proposed solution fits well to low-speed long-range wireless sensor network (WSN) applications.

Keywords
Software-defined radio, chaotic communication, spread spectrum communication, frequency modulation, communication systems, Matlab, physical layer
DOI
10.1109/WCNC55385.2023.10118612
Hyperlink
https://ieeexplore.ieee.org/document/10118612

Āboltiņš, A., Čapligins, F., Tihomorskis, N., Ahrens, A. Implementation of Chaotic Frequency Modulation Based Spread Spectrum Communication System in Software-Defined Radio. In: 2023 IEEE Wireless Communications and Networking Conference (WCNC 2023), United Kingdom, Glasgow, 26-29 March, 2023. Piscataway: IEEE, 2023, pp.318-323. ISBN 978-1-6654-9123-5. e-ISBN 978-1-6654-9122-8. ISSN 1525-3511. e-ISSN 1558-2612. Available from: doi:10.1109/WCNC55385.2023.10118612

Publication language
English (en)