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Performance Analysis of MIMO-OFDM System using Space-time Turbo Codes and Adaptive Beamforming

by Suchita Varade, Kishore Kulat
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 22 - Number 3
Year of Publication: 2011
Authors: Suchita Varade, Kishore Kulat
10.5120/2563-3524

Suchita Varade, Kishore Kulat . Performance Analysis of MIMO-OFDM System using Space-time Turbo Codes and Adaptive Beamforming. International Journal of Computer Applications. 22, 3 ( May 2011), 27-32. DOI=10.5120/2563-3524

@article{ 10.5120/2563-3524,
author = { Suchita Varade, Kishore Kulat },
title = { Performance Analysis of MIMO-OFDM System using Space-time Turbo Codes and Adaptive Beamforming },
journal = { International Journal of Computer Applications },
issue_date = { May 2011 },
volume = { 22 },
number = { 3 },
month = { May },
year = { 2011 },
issn = { 0975-8887 },
pages = { 27-32 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume22/number3/2563-3524/ },
doi = { 10.5120/2563-3524 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:08:28.220915+05:30
%A Suchita Varade
%A Kishore Kulat
%T Performance Analysis of MIMO-OFDM System using Space-time Turbo Codes and Adaptive Beamforming
%J International Journal of Computer Applications
%@ 0975-8887
%V 22
%N 3
%P 27-32
%D 2011
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This paper aims at performance analysis of the system which uses space-time turbo codes combined with adaptive beamforming for multiple transmits and receives antennas based orthogonal frequency division multiplexing (OFDM) system. The performance of the proposed technique is tested for two adaptive beamforming algorithms LMS & LLMS. Simulation results demonstrate that the proposed system not only has good ability of suppressing interference, but also significantly improves the bit-error rate (BER) performance of the system. Experimental results show that an adaptive beamforming gives the optimum performance on AWGN channels. This system will also be optimum on fading channels when combined with space–time turbo codes.

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Index Terms

Computer Science
Information Sciences

Keywords

LMS (least mean squares) LLMS (LMS-LMS) space-time turbo code (STTC) spatial diversity

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