NDLI: An optimal training signal structure for frequency-offset estimation

Content Provider	IEEE Xplore Digital Library
Author	Hlaing Minn Shaohui Xing
Copyright Year	1972
Abstract	This paper addresses an optimal training-signal design for frequency-offset estimation. Based on minimizing the Cramer-Rao lower bound for frequency-offset estimation with constraints on the peak and the total training signal energies, and the training block length, the optimal training-signal structure is developed. An approximate version of the optimal training-signal structure is proposed, which has practically the same performance as the optimal one, and provides convenience in training-signal generation and estimator derivation. Two robust reduced-complexity frequency-offset estimation methods for the proposed training structures are presented. In order to handle larger frequency offsets, modified training-signal structures are proposed. Frequency-offset estimation methods suitable for these training signals are also derived, based on the best linear unbiased estimation principle. Analytical and simulation results show that the proposed training-signal structures improve the estimation performance significantly.
Starting Page	343
Ending Page	355
Page Count	13
File Size	526506
File Format	PDF
ISSN	00906778
Volume Number	53
Issue Number	2
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2005-02-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Frequency estimation Frequency synchronization Analytical models Channel estimation OFDM AWGN Maximum likelihood estimation Robustness Performance analysis Peak to average power ratio training design Best linear unbiased estimation (BLUE) Cramer–Rao bound (CRB) frequency-offset estimation peak-to-average sample energy ratio (PAR)
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering

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