Work place: Sathyabama Institute of Science and Technology, Chennai, Tamilnadu, India
E-mail: moorthy26.82@gmail.com
Website:
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Biography
Krishnamoorthy Raghavan born at Ranipet, Vellore, India on 26th October 1982. He graduated from Jerusalem College of Engineering, Chennai, affiliated to Madras University in 2004 with Bachelor’s Degree in Electronics and Communication Engineering. Later he completed his M.E degree in Electronics and Control from Sathyabama Institute of Science and Technology, Chennai in 2007.
He has joined as Lecturer in Sathyabama Institute of Science and Technology in 2008. His passion towards teaching made as Associate professor in the department of Electronics and Instrumentation Engineering in Sathyabama Institute of Science and Technology, Chennai. He played vital role in the sathyabamasat nano-satellite project as the payload subsystem incharge. He acquired a teaching experience of more than 13 years. His areas of interest include signal processing, wireless communication, coding techniques and integrated circuits. He attended various workshops conducted by the industrials. He guided several student projects and he made research publications in diverse Journals and Conferences.
He is a life member of Indian Society of Technical Education. (ISTE).
By Krishnamoorthy Raghavan Narasu Immanuel Rajkumar Jerry Alexander Marshiana Devaerakkam
DOI: https://doi.org/10.5815/ijcnis.2021.01.03, Pub. Date: 8 Feb. 2021
The Underwater Acoustic Channel (UAC) is a time variant channel and its multipath effects create ISI. This is one of the most important obstacles in the UAC channel which reduces the transmission rate. To remove this obstacle, a proper filter has to be designed in the receiver section. In this article, optimal step size for equalizer is computed and compared the results with the known techniques namely Decision Feedback Equalizer with interleave division multiple access (DFE IDMA) and Cyclic Prefix - Orthogonal Frequency Division Multiplexing (CP-OFDM) Equalizer. Channels are modeled using ray tracing methods. The various factors considered are ambient noise, attenuation loss, bottom and surface loss. The overall path loss for channels is computed by summing up the attenuation loss, surface and bottom loss. Simulation results evident that for short range UAC channel, the BER in the order of 10-2 is achieved using proposed methodology with least Eb/No compared to standard DFE method.
[...] Read more.By Krishnamoorthy Raghavan Narasu Suriyakala C D Ramadevi Rathinasabapathy Marshiana Devaerakkam Sujatha Kumaran
DOI: https://doi.org/10.5815/ijcnis.2019.02.02, Pub. Date: 8 Feb. 2019
One of the most complex environment for the data transmission is the underwater channel. It suffers frequency selective deep fading with serious multi path time delay. The channel also has limited bandwidth. In this paper, the effect of Least Code Weight – Minimum Hamming Distance (LCW-MHD) polynomial code is studied using Viterbi Decoding Algorithm for the shallow Underwater Acoustic Communication (UAC) channel. Two different channels with the range of 100 and 1000 meters are considered for simulation purpose and the channel is designed using Ray Tracing algorithm. For data and image transmission in the channel, three different code rate of 1/2, 1/3 and 1/4 are considered and corresponding Bit Error Rate (BER) are evaluated. Result showed that the BER is least for the LCG-MHD polynomial code.
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