DocumentCode
1249825
Title
Joint CFO and Channel Estimation for Asynchronous Cooperative Communication Systems
Author
Liu, Tao ; Zhu, Shihua
Author_Institution
Dept. of Inf. & Commun. Eng., Xi´´an Jiaotong Univ., Xi´´an, China
Volume
19
Issue
10
fYear
2012
Firstpage
643
Lastpage
646
Abstract
This letter addresses the joint maximum likelihood carrier frequency offset (CFO) and channel estimation for asynchronous cooperative communication systems. We first present a space-alternating generalized expectation-maximization (SAGE) based iterative estimator (SAGE-IE). Then a low-complexity approximate SAGE-IE (A-SAGE-IE) is developed. Our proposed algorithms decouple the multi-dimensional optimization problem into many one-dimensional optimization problems where the CFO and channel coefficients of each relay-destination link can be determined separately. Simulations indicate that, even though timing offsets are present, the proposed estimators can asymptotically achieve the Cramer-Rao bround (CRB) for the perfectly timing synchronized case.
Keywords
channel estimation; cooperative communication; expectation-maximisation algorithm; A-SAGE-IE; Cramer-Rao bround; SAGE; SAGE-IE; asynchronous cooperative communication systems; channel estimation; iterative estimator; joint maximum likelihood carrier frequency offset; low-complexity approximate SAGE-IE; multidimensional optimization problem; space-alternating generalized expectation-maximization; Channel estimation; Joints; Peer to peer computing; Relays; Timing; Training; Vectors; Asynchronous cooperative communication; CFO; SAGE; channel estimation;
fLanguage
English
Journal_Title
Signal Processing Letters, IEEE
Publisher
ieee
ISSN
1070-9908
Type
jour
DOI
10.1109/LSP.2012.2210039
Filename
6248163
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