NDLI: Frequency Offset Estimation for OFDM Systems Using ICI Self-Cancellation Schemes

Content Provider	IEEE Xplore Digital Library
Author	Chih-Peng Li Wei-Wen Hu Tsang-Yi Wang
Copyright Year	2007
Description	Author affiliation: Inst. of Commun. Eng., Nat. Sun Yat-Sen Univ., Kaohsiung (Chih-Peng Li)
Abstract	This paper presents a novel frequency offset estimator for inter-carrier-interference (ICI) self-cancellation coded orthogonal frequency division multiplexing (OFDM) systems, which map data symbols onto adjacent or symmetric subcarriers with weighting coefficients of +1 and -1. There are two major drawbacks for traditional ICI self-cancellation schemes. First, the common phase error (CPE) caused by the carrier frequency offset (CFO) can not be removed. Second, the performance is substantially degraded when CFO is large. To remedy these drawbacks, pilot sub-carriers are inserted and the maximum likelihood estimator (MLE) proposed by Moose (1994) is adopted to eliminate CFO. If residual CFO is small enough, traditional ICI self-cancellation scheme can operate efficiently. In this paper, a second order estimator (SOE) is proposed to exploit the second order statistical properties of the demodulated pilot signals at the output of ICI self-cancellation demodulation. The SOE is combined with MLE to estimate CFO and the combined estimator is termed second order with maximum likelihood estimator (SO-MLE). The optimal weighting coefficient is determined by conducting simulation experiments. It is demonstrated that the proposed SO-MLE has the advantage of tolerating larger CFO and CPE than traditional MLE, and the ICI can thus be significantly diminished.
Starting Page	2305
Ending Page	2309
File Size	272539
Page Count	5
File Format	PDF
ISBN	1424402662
ISSN	15502252
DOI	10.1109/VETECS.2007.476
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-04-22
Publisher Place	Ireland
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Frequency estimation OFDM Maximum likelihood estimation Automatic speech recognition Demodulation Degradation Digital video broadcasting Wireless networks Wireless communication Digital audio broadcasting
Content Type	Text
Resource Type	Article
Subject	Applied Mathematics Electrical and Electronic Engineering Computer Science Applications

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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