Estimation of Synchronization Parameters in AF Cooperative Networks
Paper i proceeding, 2012

In cooperative networks, multiple carrier frequency offsets (MCFOs) and multiple timing offsets (MTOs) originate due to multiple distributed nodes. In this paper, algorithms for joint estimation of these parameters and channels in amplify-and-forward (AF) relaying networks are proposed. A new training model and transceiver structure at the relays for achieving synchronization throughout the network is devised. New exact closed-form expressions for the Cram´er-Rao lower bounds (CRLBs) for the multi-parameter estimation problem are derived. An estimation method is proposed for jointly estimating MCFOs, MTOs, and channel gains at the destination based on space-alternating generalized expectation maximization (SAGE) and compared to a computationally-intensive least squares (LS) approach. The proposed estimator’s performance is shown to be close to the CRLB at mid-to-high signal-to-noise ratio (SNR) resulting in significant cooperative performance gains in the presence of practical impairments.

Cooperative communications

timing and carrier synchronization

Space-alternating generalized expectation-maximization (SAGE)

Expectation maximization (EM)

Cram\'{e}r-Rao Lower bounds (CRLB)


Ali Arshad Nasir

Australian National University

Hani Mehrpouyan

Chalmers, Signaler och system, Kommunikation, Antenner och Optiska Nätverk

Steven D. Blostein

Queen's University

Salman Durrani

Australian National University

Rodney A. Kennedy

Australian National University

IEEE International Conference on Communications

15503607 (ISSN)

3713-3717 6363669
978-145772052-9 (ISBN)


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