Work place: Dayananda Sagar College of Engineering, Electronics and Communication Engineering, Bangalore, 560001, India
E-mail: drsudha-ece@dayanandasagar.edu
Website: https://orcid.org/ 0000-0001-8301-1669
Research Interests:
Biography
K.L. Sudha, hail from Bengaluru, India and born on 16th January 1967. She has a bachelor’s degree in Electronics and Communication Engineering and Masters in Electronics. Her research on “Detection of FH CDMA signals in time varying channel” acquired her Ph.D from Osmania University, Hyderabad. She has been working as Prof, Dept of ECE, DSCE Bengaluru for 15 years. She worked in other reputed colleges and has gained a total of 28 years of teaching experience. Her research interests include Wireless communication, coding theory, image processing and chaotic theory. 6 scholars have secured doctorate degree under her guidance. She has successfully completed 3 ISRO funded projects. She has published more than 120 research papers in journals and conferences.
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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