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Block-Shanno Minimum Bit Error Rate Pre-FFT Beamforming for OFDM Communication Systems

by Waleed Abdallah
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 46 - Number 3
Year of Publication: 2012
Authors: Waleed Abdallah
10.5120/6887-9201

Waleed Abdallah . Block-Shanno Minimum Bit Error Rate Pre-FFT Beamforming for OFDM Communication Systems. International Journal of Computer Applications. 46, 3 ( May 2012), 11-18. DOI=10.5120/6887-9201

@article{ 10.5120/6887-9201,
author = { Waleed Abdallah },
title = { Block-Shanno Minimum Bit Error Rate Pre-FFT Beamforming for OFDM Communication Systems },
journal = { International Journal of Computer Applications },
issue_date = { May 2012 },
volume = { 46 },
number = { 3 },
month = { May },
year = { 2012 },
issn = { 0975-8887 },
pages = { 11-18 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume46/number3/6887-9201/ },
doi = { 10.5120/6887-9201 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:38:46.958812+05:30
%A Waleed Abdallah
%T Block-Shanno Minimum Bit Error Rate Pre-FFT Beamforming for OFDM Communication Systems
%J International Journal of Computer Applications
%@ 0975-8887
%V 46
%N 3
%P 11-18
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In broadband wireless communication, orthogonal frequency division multiplexing (OFDM) is used as a multi-carrier technique to combat the inter-symbol interference (ISI). Adaptive array antenna (AAA) can be combined with OFDM to reduce the effect of directional interferences. The optimum beamformer weight set is based on minimum bit error rate (MBER) criteria in pilot-assisted OFDM systems. The development of a block-data adaptive implementation of the MBER beamforming solution is based on to the Parzen window estimates of probability density function. The Gradient Newton algorithm has been proposed to enhance the performance and increase the convergence rate speed, but at the expense of complexity. In this paper a block processing objective function for the MBER is formatted in three beamfroming algorithm, Least MBER (LMBER), Newton Least MBER (NLMBER), and Block-Shanno MBER (BSMBER) are proposed on Pre-FFT OFDM system. Simulation results showed that the BSMBER algorithm structure had the lowest computational complexity, the best BER performance and the fastest convergence rate over the other algorithms.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Mber Beamforming Ofdm Systems Pre-fft Mmse Beamforming Probability Density Function (pdf) Smart Antenna

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