DocumentCode :
2736517
Title :
An integer frequency offset estimation scheme robust to fractional frequency offset variation
Author :
Lee, Youngyoon ; Kang, Seung Goo ; Kim, Junhwan ; Yoon, Seokho
Author_Institution :
Sch. of Inf. & Commun. Eng., Sungkyunkwan Univ., Suwon, South Korea
fYear :
2011
fDate :
4-8 July 2011
Firstpage :
2210
Lastpage :
2213
Abstract :
In this paper, we propose a new periodogram-based integer frequency offset (IFO) estimation scheme robust to the fractional frequency offset (FFO) variation. We first observe the reason why the conventional IFO estimation scheme in is sensitive to the variation of the FFO, and then, propose a new IFO estimation scheme using the modified maximum-likelihood (ML) metric. The numerical results demonstrate that the proposed scheme is more robust to the variation of the FFO and has better IFO estimation performance than the conventional scheme in.
Keywords :
OFDM modulation; frequency estimation; maximum likelihood estimation; IFO estimation; OFDM; fractional frequency offset variation; integer frequency offset estimation scheme; maximum-likelihood metric; Frequency estimation; Maximum likelihood estimation; OFDM; Robustness; Training; OFDM; estimation; frequency offset; training symbol;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Wireless Communications and Mobile Computing Conference (IWCMC), 2011 7th International
Conference_Location :
Istanbul
Print_ISBN :
978-1-4244-9539-9
Type :
conf
DOI :
10.1109/IWCMC.2011.5982773
Filename :
5982773
Link To Document :
بازگشت