Pilot-symbol-aided channel estimation for OFDM in wireless systems

Author

Li, Ye

Author_Institution

AT&T Labs.-Res., Red Bank, NJ, USA

Volume

49

Issue

4

fYear

2000

fDate

7/1/2000 12:00:00 AM

Firstpage

1207

Lastpage

1215

Abstract

In this paper, we investigate pilot-symbol-aided parameter estimation for orthogonal frequency division multiplexing (OFDM) systems. We first derive a minimum mean-square error (MMSE) pilot-symbol-aided parameter estimator. Then, we discuss a robust implementation of the pilot-symbol-aided estimator that is insensitive to channel statistics. From the simulation results, the required signal-to-noise ratios (SNRs) for a 10% word error rate (WER) are 6.8 dB and 7.3 dB for the typical urban (TU) channels with 40 Hz and 200 Hz Doppler frequencies, respectively, and they are 8 dB and 8.3 dB for the hilly-terrain (HT) channels with 40 Hz and 200 Hz Doppler frequencies, respectively. Compared with the decision-directed parameter estimator, the pilot-symbol-aided estimator is highly robust to Doppler frequency for dispersive fading channels with noise impairment even though it has some performance degradation for systems with lower Doppler frequencies

Keywords

OFDM modulation; dispersive channels; fading channels; land mobile radio; least mean squares methods; parameter estimation; Doppler frequencies; MMSE; OFDM; dispersive fading channels; hilly-terrain channels; minimum mean-square error; noise impairment; orthogonal frequency division multiplexing; performance degradation; pilot-symbol-aided channel estimation; signal-to-noise ratios; urban channels; wireless systems; Channel estimation; Dispersion; Error analysis; Fading; Frequency estimation; Noise robustness; OFDM; Parameter estimation; Signal to noise ratio; Statistics;

fLanguage

English

Journal_Title

Vehicular Technology, IEEE Transactions on

Publisher

ieee

ISSN

0018-9545

Type

jour

DOI

10.1109/25.875230

Filename

875230