Hemlata Sinha

Work place: Shri Shankaracharya Technical Campus Bhilai, Chhattisgarh

E-mail: Sinha.hemlata552@gmail.com

Website:

Research Interests: Computer Networks, Network Architecture

Biography

Hemlata Sinha: born on 15 August 1981. She received the B.E. degree in Electronics and Telecommunication Engineering in 2003 from Raipur Institute of Technology, Raipur Chhattisgarh and M.Tech degree in Digital Electronics from Rungta College of Engineering , Bhilai , Chhattisgarh. She is currently working as a Assistant Professor in the Department of Electronics and Communication at Shri Shankaracharya Institute of Professional management and Technology, Raipur. She has published paper in International Journal .Her current interests are in the field of wireless communication.

Author Articles
Performance of Linear Block Coding for Multipath Fading Channel

By Hemlata Sinha M.R. Meshram G.R. Sinha

DOI: https://doi.org/10.5815/ijitcs.2012.08.06, Pub. Date: 8 Jul. 2012

This paper deals with the performance of linear block codes which provide a new paradigm for transmission over multipath fading channels. Multi path channel fading is the main enemy for any wireless communications system. Therefore, for any novel approach applied at any wireless communication system, its efficiency is measured according to its ability of mitigating the distortion caused by fading. It causes time dispersion to the transmitted symbols resulting in inter symbol interference (ISI). ISI inter symbol interference problem is a major impairment of the wireless communication channel. To mitigate the ISI problem and to have reliable communications in wireless channel, channel equalizer and channel coding technique is often employed. In this paper the BER (Bit Error Rate) performance is shown from analytically and by means of simulation for multipath dispersive channels. We have designed a channel equalizer using MLSE (Viterbi algorithm) in this paper for such a multipath channel (introducing inter symbol interferences) with BPSK modulation based on the assumption that the channel can be perfectly estimated at the receiver. Obviously the performance of channel coding in terms of BER is better than uncoded channel.

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