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
Link To Document :
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