Modified Blind Beamforming Algorithm for Smart
Antenna System
A. Bouacha, F.
Debbat, F.T. Bendimerad
Telecommunications laboratory, Faculty
of Engineering, Abou-Bekr Belkaïd University TLEMCEN, BP 230, Chetouane,
13000 Tlemcen, Algeria
Received January
20, 2008
Intelligent antennas take advantage
of both antenna and propagation technologies. They have the potential to reduce
multipath interference, increase signal to noise ratio, and introduce frequency
reuse within a confined environment. Several challenges remain however in the
growth of intelligent antennas; one of these is the development of new
beamforming algorithm for the best use of the received signal. This study
focuses on the development and the application of a new simple matrix inversion
normalized constant modulus algorithm (SMI-NCMA) for smart antennas. The SMI-NCMA
which combines the individual good aspects of Sample Matrix Inversion (SMI) and
the Normalized Constant Modulus algorithms (NCMA) is described. Simulation
results show that less complexity SMI-NCMA improves the interference
suppression and gain enhancement over classical NCMA, converges from the
initial iteration and achieves BER (bite error rate) improvements for
co-channel interference.
Announcement of editorial board. It became
known to us that this paper is plagiarism. It is
essentially similar to another paper authored by Mohammad
Tariqul Islam entitled “MI-NLMS
adaptive beamforming algorithm for smart antenna system applications”,
which had been published in 2006 in Volume 7 (issue number 10) of the "Journal
of Zhejiang University SCIENCE A",
pp. 1709-1716. In fact 100 % of the text in professor Mohammad Tariqul Islam’s
original contribution (including all the key equations) was reproduced without
any form of autorisation in the paper authored by A. Bouacha, F. Debbat, F.T.
Bendimerad. Unfortunatelly the paper-plagiarism was published in our journal
because the "Journal of Zhejiang University SCIENCE A" was unknown to
reviewer and members of editorial board. We
present our apologies to Dr. Mohammad Tariqul Islam and "Journal
of Zhejiang University SCIENCE A"
for this publication.