DocumentCode
588999
Title
Sensing OFDM Signals using periodically inserted pilots
Author
Yonghong Zeng ; Ying-Chang Liang ; The Hanh Pham
Author_Institution
Inst. for Infocomm Res., A*STAR, Singapore, Singapore
fYear
2012
fDate
21-23 Nov. 2012
Firstpage
295
Lastpage
299
Abstract
A common feature in OFDM is that some pilot subcarriers repeat in certain OFDM blocks. In this paper we propose sensing methods using the repetition structure of the pilots. The derivation of the methods is based on the optimal likelihood ratio test (LRT) after taking the auto-correlation. Although the derived LRT is optimal, it cannot be used in practice as it needs some unknown information of the channel and noise. To make the methods practical, we simplify the LRT to obtain the approximated LRT (ALRT). Carrier frequency offset (CFO) is another major obstacle to the proposed methods and also to many other methods. To handle the problem, we propose a method to estimate the composite CFO and compensate the composite CFO in time domain. The frequency offset estimation method uses multiple taps of auto-correlation of the signal, which can be used for other applications as well. The proposed methods are robust to frequency offset, noise power uncertainty, frequency selective channel, time delay uncertainty, and interferences.
Keywords
OFDM modulation; correlation methods; frequency estimation; intercarrier interference; time-domain analysis; ALRT; OFDM blocks; approximated LRT; auto-correlation; carrier frequency offset; composite CFO; frequency offset estimation method; frequency selective channel; interferences; noise power uncertainty; optimal likelihood ratio test; periodically inserted pilots; pilot subcarriers; repetition structure; sensing OFDM signals; sensing methods; time delay uncertainty; time domain; Digital video broadcasting; Estimation; Frequency estimation; OFDM; Sensors; Signal to noise ratio;
fLanguage
English
Publisher
ieee
Conference_Titel
Communication Systems (ICCS), 2012 IEEE International Conference on
Conference_Location
Singapore
ISSN
Pending
Print_ISBN
978-1-4673-2052-8
Type
conf
DOI
10.1109/ICCS.2012.6406157
Filename
6406157
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