Title :
OFDM symbol synchronization using frequency domain pilots in time domain
Author :
Filippi, Alessio ; Serbetli, Semih
Author_Institution :
Philips Res., Eindhoven, Netherlands
fDate :
6/1/2009 12:00:00 AM
Abstract :
In this paper, we describe and evaluate a novel symbol synchronization algorithm for orthogonal frequency division multiplexing (OFDM) systems especially suited for channels with very long echoes. Most of the OFDM based standards provide known pilots in the frequency domain for channel estimation purposes. The basic idea of our contribution consists of interpreting the frequency domain pilots in the time domain to obtain a rough channel estimate before performing the discrete Fourier transform (DFT) and use it to properly position the DFT window. The proposed method aims to maximize the signal-to-inter-block-interference ratio after the DFT windowing. In short channels, where the channel length is shorter than the cyclic prefix length, the proposed method looks for an interblock-interference free windowing of the OFDM symbol. In long channels, where the channel length is longer than the cyclic prefix of the OFDM symbol, the proposed method search for the minimum inter-block-interference power windowing of the OFDM symbol.
Keywords :
OFDM modulation; channel estimation; discrete Fourier transforms; interference suppression; synchronisation; time-frequency analysis; DFT window; OFDM symbol synchronization algorithm; channel estimation; discrete Fourier transform; frequency domain analysis; interblock-interference free windowing; orthogonal frequency division multiplexing; time domain analysis; Channel estimation; Delay; Digital video broadcasting; Discrete Fourier transforms; Frequency division multiplexing; Frequency domain analysis; Frequency estimation; Frequency synchronization; OFDM modulation; Robustness; Orthogonal frequency division multiplexing, channel estimation, fine time synchronization, IBI, SINR;
Journal_Title :
Wireless Communications, IEEE Transactions on
DOI :
10.1109/TWC.2009.081224