Work place: Dayananda Sagar College of Engineering, Electronics and Telecommunication Engineering, Bangalore, 560001, India
E-mail: vinoddurdi-tce@dayanandasagar.edu
Website: https://orcid.org/ 0000-0001-5788-7341
Research Interests:
Biography
Dr. Vinod B Durdi received his B.E. in Electronics and Communication Engineering from Karnataka University, Dharwad, in 2000. He obtained his M.Tech. in Digital Communication from Visvesvaraya Technological University, Belgaum, in 2003, and his Ph.D. from the same university in 2018. He has been working as an Associate Professor in the Department of Electronics and Telecommunication Engineering, Dayananda Sagar College of Engineering, in Bengaluru since 2010. He has also worked in other reputed institutions and has a total of 23 years of teaching experience. His research interests include video processing, wireless networks, network security, and chaos communication. He has authored and co-authored several research papers published in major national and international conference proceedings and reputed journals.
By Navya Holla K. Sudha K. L. Vinod B. Durdi
DOI: https://doi.org/10.5815/ijwmt.2026.05.14, Pub. Date: 8 Oct. 2026
The Bit Error Rate (BER) of Differential Chaos Shift Keying (DCSK) is analysed for both Single Input Single Output (SISO) and 2×2 Multiple Input Multiple Output (MIMO) configurations over multipath fading channels. Chaotic carriers are generated using a logistic map with control parameter r = 3.99 and spreading factor β = 128. Closed form BER expressions are derived for both architectures and cross validated through MATLAB simulations. In the SISO case, the derivation proceeds under Additive White Gaussian Noise (AWGN), while the MIMO model incorporates multipath fading and applies Equal Gain Combining (EGC) at the receiver to exploit spatial diversity. The 2×2 MIMO–EGC scheme reduces BER by approximately one order of magnitude relative to SISO at comparable SNR. Theoretical and simulation results agree well at low SNR; a divergence at high SNR is attributed to the Line of Sight assumption embedded in the analytical model, which sets the second-path coefficient to zero and therefore underestimates the diversity gain seen in simulation.
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