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
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;
Conference_Titel :
Wireless Communications and Mobile Computing Conference (IWCMC), 2011 7th International
Conference_Location :
Istanbul
Print_ISBN :
978-1-4244-9539-9
DOI :
10.1109/IWCMC.2011.5982773