Papers Submitted to WSEAS Conferences and WSEAS Journals: Wseas Transactions

Wednesday, 17 June 2009

Wseas Transactions

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The following information was submitted:

Transactions: WSEAS TRANSACTIONS ON COMMUNICATIONS
Transactions ID Number: 32-567
Full Name: Mohammad Tariqul Islam
Position: Senior Lecturer
Age: ON
Sex: Male
Address: Institue of Space Science, Levele-2, Faculty of Engineering, 43600 UKM Bangi, Selangor
Country: MALAYSIA
Tel: +60162469144
Tel prefix: +0389214730
Fax: +0389216856
E-mail address: titareq@yahoo.com
Other E-mails: tariqul@ukm.my
Title of the Paper: Adaptive Beamforming Algorithm for Smart Antennas in OFDM System
Authors as they appear in the Paper: M Tariqul Islam, N. Misran and B. Yatim
Email addresses of all the authors: titareq@yahoo.com,
Number of paper pages: 12
Abstract: This paper presents matrix inversion normalized least mean square (MI-NLMS) adaptive beamforming algorithm for smart antenna in orthogonal frequency division multiplexing (OFDM) system. The proposed algorithm for adaptive beamforming in OFDM system was developed by combining the sample matrix inversion (SMI) and the normalized least mean square (NLMS) algorithms taking the individual good aspects of both algorithms; the block adaptive and sample by sample techniques. Based on the obtained results, it appears that the MI-NLMS has more reliable and faster convergence compared to the least mean square (LMS) algorithm. The algorithm provides faster convergence speed, low bit error rate (BER) and less complexity. Computer simulation results showed that the less complexity MI-NLMS yields 81% BER improvements by using 8 elements antenna array compared to single element antenna and 92% at 256 pilots compared to BER at 32 pilots for the MI-NLMS algorithm. The MI-NLMS algori!
thm achieved overall 63% BER improvement for MI-NLMS algorithm at angle spread 0 degree compared to LMS algorithm.
Keywords: Smart antenna, Bit error rate (BER), Convergence, mean square error, Orthogonal Frequency Division Multiplexing (OFDM)
EXTENSION of the file: .pdf
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