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Optimal Training Sequences for Joint Timing Synchronization and Channel Estimation in Distributed Communication Networks
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2013 (English)In: IEEE Transactions on Communications, ISSN 0090-6778, E-ISSN 1558-0857, Vol. 61, no 7, 3002-3015 p.Article in journal (Refereed) Published
Abstract [en]

For distributed multi-user and multi-relay cooperative networks, the received signal may be affected by multiple timing offsets (MTOs) and multiple channels that need to be jointly estimated for successful decoding at the receiver. This paper addresses the design of optimal training sequences for efficient estimation of MTOs and multiple channel parameters. A new hybrid Cramer-Rao lower bound (HCRB) for joint estimation of MTOs and channels is derived. Subsequently, by minimizing the derived HCRB as a function of training sequences, three training sequence design guidelines are derived and according to these guidelines, two training sequences are proposed. In order to show that the proposed design guidelines also improve estimation accuracy, the conditional Cramer-Rao lower bound (ECRB), which is a tighter lower bound on the estimation accuracy compared to the HCRB, is also derived. Numerical results show that the proposed training sequence design guidelines not only lower the HCRB, but they also lower the ECRB and the mean-square error of the proposed maximum a posteriori estimator. Moreover, extensive simulations demonstrate that application of the proposed training sequences significantly lowers the bit-error rate performance of multi-relay cooperative networks when compared to training sequences that violate these design guidelines.

Place, publisher, year, edition, pages
2013. Vol. 61, no 7, 3002-3015 p.
Keyword [en]
channel estimation;cooperative communication;decoding;error statistics;maximum likelihood estimation;mean square error methods;multiuser channels;radio receivers;relay networks (telecommunication);synchronisation;ECRB;HCRB;MTO;bit error rate;channel estimation;conditional Cramer-Rao lower bound;decoding;distributed communication networks;distributed multiuser cooperative networks;hybrid Cramer-Rao lower bound;joint timing synchronization;maximum a posteriori estimator;mean square error;multiple channel parameters;multiple timing offsets;multirelay cooperative networks;optimal training sequences;receiver;Training sequence (TS);and maximum-a-posteriori (MAP) estimation;channel estimation;distributed communication network;hybrid Cramer-Rao lower bound (HCRB);multiple timing offsets (MTOs);synchronization
National Category
Signal Processing
URN: urn:nbn:se:kth:diva-136552DOI: 10.1109/TCOMM.2013.053013.120541ISI: 000322451800036ScopusID: 2-s2.0-84881126311OAI: diva2:676378

QC 20140613

Available from: 2013-12-05 Created: 2013-12-05 Last updated: 2014-06-26Bibliographically approved

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Ottersten, Björn
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Signal ProcessingACCESS Linnaeus Centre
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