Two EM-Type channel estimation algorithms for OFDM with transmitter diversity Academic Article

abstract

• We study channel estimation for orthogonal frequency-division multiplexing (OFDM) systems utilizing transmitter diversity and operating over multipath fading channels. Two expectation-maximization (EM)-type algorithms are introduced and compared with each other in terms of convergence rate. At each iteration and for every OFDM link, the EM-type algorithms partition the problem of estimating a multi-input channel into independent channel estimations for each transmit-receive antenna pair, therefore avoiding the matrix inversion encountered in the joint least-square estimation. The EM-type algorithms can also be used to efficiently implement a recently proposed algorithm, termed the significant-tap-catching estimator, so that the system performance is more robust to different multipath channel delay profiles.

authors

• Georghiades, Costas

published proceedings

• IEEE TRANSACTIONS ON COMMUNICATIONS

altmetric score

• 3

author list (cited authors)

• Xie, Y. Z., & Georghiades, C. N.

citation count

• 151

complete list of authors

• Xie, YZ||Georghiades, CN

publication date

• January 2003

publisher

• Institute of Electrical and Electronics Engineers (IEEE)  Publisher

published in

• IEEE TRANSACTIONS ON COMMUNICATIONS  Journal

keywords

• Expectation-maximization (em) Algorithm
• Orthogonal Frequency-division Multiplexing (ofdm)
• Sage Algorithm
• Transmitter Diversity

Digital Object Identifier (DOI)

• 10.1109/TCOMM.2002.807617

start page

• 106

end page

• 115

volume

• 51

issue

• 1

URL

• http://dx.doi.org/10.1109/tcomm.2002.807617