TY - GEN
T1 - Adaptive frequency synchronization for collaborative communication systems
AU - Parker, Peter A.
AU - Bliss, Daniel W.
AU - Mitran, Patrick
AU - Tarokh, Vahid
PY - 2007
Y1 - 2007
N2 - Cooperative diversity systems are wireless communication systems designed to exploit cooperation among users to mitigate the effects of multipath fading. In fairly general conditions, it has been shown that these systems can achieve the diversity order of an equivalent MISO channel and, if the node geometry permits, virtually the same outage probability is achieved as that of the equivalent MISO channel for a wide range of applicable SNR. However, much of the prior analysis has been performed under the assumption of perfect timing and frequency offset synchronization. In this paper, we derive the estimation bounds and associated maximum likelihood estimators for frequency offset estimation in a cooperative communication system. The cooperative nature of the system is utilized to reduce the estimation error with respect to standard (non-cooperative) frequency estimation algorithms. For a worst case frequency offset distribution among the nodes, we show that this estimator is optimal in the sense of estimation error variance.
AB - Cooperative diversity systems are wireless communication systems designed to exploit cooperation among users to mitigate the effects of multipath fading. In fairly general conditions, it has been shown that these systems can achieve the diversity order of an equivalent MISO channel and, if the node geometry permits, virtually the same outage probability is achieved as that of the equivalent MISO channel for a wide range of applicable SNR. However, much of the prior analysis has been performed under the assumption of perfect timing and frequency offset synchronization. In this paper, we derive the estimation bounds and associated maximum likelihood estimators for frequency offset estimation in a cooperative communication system. The cooperative nature of the system is utilized to reduce the estimation error with respect to standard (non-cooperative) frequency estimation algorithms. For a worst case frequency offset distribution among the nodes, we show that this estimator is optimal in the sense of estimation error variance.
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U2 - 10.1109/ICDCSW.2007.96
DO - 10.1109/ICDCSW.2007.96
M3 - Conference contribution
AN - SCOPUS:35948952408
SN - 0769528384
SN - 9780769528380
T3 - Proceedings - International Conference on Distributed Computing Systems
SP - 82
EP - 87
BT - 27th International Conference on Distributed Computing Systems Workshops, ICDCSW'07
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 27th International Conference on Distributed Computing Systems Workshops, ICDCSW'07
Y2 - 22 June 2007 through 29 June 2007
ER -