NDLI: SAGE Algorithm for Semi-Blind Channel Estimation and Symbol Detection for STBC MIMO OFDM Systems

Content Provider	Springer Nature Link
Author	Hedayati, Mohsen Keshavarz Bakhshi, Hamidreza Cheraghi, Mehdi
Copyright Year	2012
Abstract	In this paper, a novel semi-blind channel estimation and symbol detection based on space-alternating generalized expectation-maximization (SAGE) algorithm are proposed for space time block coded (STBC) multiple input multiple output orthogonal frequency division multiplexing (MIMO-OFDM) systems. At the receiver, the transmitted signals of all users are added. By utilization of SAGE algorithm, this superimposed received signals are decomposed into their signal components. Then, the channel is estimated at pilot positions. After that, the channel estimation in the other positions are obtained by interpolation and symbol detection is done by utilizing the estimated channel. In SAGE algorithm, selection of initial value is very important for the convergence. We discuss the appropriate range for selection of initial value in this paper. Simulation results show that by increasing the number of users, the slope of bit error rate curve increases with same initial value and the channel estimation becomes worse by increasing the iteration of SAGE algorithm if the initial value is not selected in the proposed rang.
Starting Page	1541
Ending Page	1555
Page Count	15
File Format	PDF
ISSN	09296212
Journal	Wireless Personal Communications
Volume Number	71
Issue Number	2
e-ISSN	1572834X
Language	English
Publisher	Springer US
Publisher Date	2012-11-09
Publisher Place	Boston
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	SAGE MIMO-OFDM Space time block code Semi-blind channel estimation Communications Engineering, Networks Signal, Image and Speech Processing Computer Communication Networks
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering Computer Science Applications

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