Journal of Applied Sciences1812-56541812-5662Asian Network for Scientific Information10.3923/jas.2009.2335.2339IslamM. TariqulMisranN.122009912In this study, a Matrix Inversion Normalized Least
Mean Square (MI-NLMS) adaptive beamforming algorithm is described with
tracking. The MI-NLMS 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. Simulation results showed
that the improvement in Bit Error Rate (BER) performances is proportional
to the number of antenna elements employed in the antenna array. The MI-NLMS
algorithm demonstrates an outstanding tracking ability with respect to
LMS algorithm in the various signal environments.]]>Agee, B.G., 1989Chen, S., N.N. Ahmad and L. Hanzo, 2005Chen, H.H., S.C. Chan and K.L. Ho, 2007Godara, L.C.,1997Gorodetskaya, E.Y., A.I. Malekhanov, A.G. Sazontov and N.K. Vdovicheva, 1999Krim, H. and M. Viberg, 1996Krolik, J.L., 1996Liberti, J.C. and T.S. Rappaport, 1999Litva, J. and T.K.Y. Lo, 1996Mohammad, T.I. and A.A.R. Zainol, 2006Rapapport, T.S., 1998Rezk, M., W. Kim, Z. Yun and M.F. Iskander, 2005Xie, N., Y. Zhou, M. Xia and W. Tang, 2008Yang, J., H. Xi, F. Yang and Y. Zhao, 2006Zhang, Z.M., F. Iskander, Z. Yun and A. Host-Madsen, 2003