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Comparative Study of Channel Estimation Algorithms under Different Channel Scenario

by Tirthankar Paul, Priyabrata karmakar, Sourav Dhar
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 34 - Number 7
Year of Publication: 2011
Authors: Tirthankar Paul, Priyabrata karmakar, Sourav Dhar
10.5120/4113-5927

Tirthankar Paul, Priyabrata karmakar, Sourav Dhar . Comparative Study of Channel Estimation Algorithms under Different Channel Scenario. International Journal of Computer Applications. 34, 7 ( November 2011), 31-38. DOI=10.5120/4113-5927

@article{ 10.5120/4113-5927,
author = { Tirthankar Paul, Priyabrata karmakar, Sourav Dhar },
title = { Comparative Study of Channel Estimation Algorithms under Different Channel Scenario },
journal = { International Journal of Computer Applications },
issue_date = { November 2011 },
volume = { 34 },
number = { 7 },
month = { November },
year = { 2011 },
issn = { 0975-8887 },
pages = { 31-38 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume34/number7/4113-5927/ },
doi = { 10.5120/4113-5927 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:20:30.413064+05:30
%A Tirthankar Paul
%A Priyabrata karmakar
%A Sourav Dhar
%T Comparative Study of Channel Estimation Algorithms under Different Channel Scenario
%J International Journal of Computer Applications
%@ 0975-8887
%V 34
%N 7
%P 31-38
%D 2011
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The principle objective of this work is to enhance the knowledge about channel estimation and to compare the existing channel estimation techniques under different channel conditions. Normally the received signal is corrupted by the channel (Multipath, ISI). The estimation of a time-varying multipath fading channel is a difficult task for the receiver. Its performance can be improved if an appropriate channel estimation filter is used according to the prior knowledge of the fading channel. In this work the two popular estimation algorithms, viz., LMS and RLS are studied with respect to AWGN, Rician and Rayleigh channels. The simulation is performed in MATLAB platform.

References
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Index Terms

Computer Science
Information Sciences

Keywords

LMS (Least Mean Square) RLS (Recursive Least-Squares) AWGN (Additive white Gaussian noise) Rayleigh Fading Channel & Rician Fading Channel

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