Title of the talk:
" PERFORMANCE OF THE NOISE SUBSPACE-BASED ESTIMATION ALGORITHM FOR CORRELATED SOURCES "
Prof. Mohammad Saquib
Department of Electrical Engineering
The University of Texas at Dallas
800 W Campbell Rd, Richardson, TX 75080, USA
Tel: (972)-883-4130 Fax: (972)-883-2710
The NoIse Subspace-based Estimation (NISE) algorithm has been shown to provide adequate direction of arrival (DoA) estimates for uncorrelated sources in traditionally difficult scenarios, with relatively low computational complexity. In this work, we discuss the behavior of NISE in practical scenarios where the sources are correlated, and provide a mathematical proof of its convergence. Numerical results showing the performance of NISE against Unitary Root-MUSIC are also presented.
Prof. Mohammad Saquib received the B.Sc. degree in 1991 from the Bangladesh University of Engineering & Technology, Bangladesh, and the M.S. and Ph.D. degrees in 1995 and 1998, respectively, from Rutgers University, New Brunswick, NJ, USA, all in electrical engineering. He is a Professor with the Electrical & Computer Engineering Department at The University of Texas at Dallas, Richardson, TX, USA. Earlier, he worked as a member of Technical Staff at MIT Lincoln Laboratory, and as an Assistant Professor at Louisiana State University, Baton Rouge, LA, USA. His current research interests include various aspects of wireless data transmission, radio resource management, and signal processing techniques for low-cost radar applications.
Dr. Saquib served on the editorial board of IEEE Transactions on Wireless Communications from 2004—2009 and that of IEEE Communications Letters from 2002—2008. He was the recipient of 2014 The University of Texas System Regents’ Outstanding Teaching Award.