Blind identification of channels for discrete multitone (DMT) applications

Author

Leke, Achankeng ; Cioffi, John M.

Author_Institution

Inf. Syst. Lab., Stanford Univ., CA, USA

fYear

1998

fDate

17-19 Feb 1998

Firstpage

113

Lastpage

118

Abstract

This paper presents an alternate channel identification approach for discrete multitone (DMT) systems. This method uses a blind algorithm-instead of data-driven algorithms-to identify the channel from the received symbols and knowledge of the statistics of the transmitted symbols. The structure of an ideal DMT system is outlined, and the channel identification algorithm is developed as an extension of the one previously proposed by Tong et al. The degradation in signal-to-noise ratio (SNR), and thus probability of error, due to channel estimation errors is analyzed, and analytic expressions for the multitone SNR as a function of the mean square error (MSE) in channel estimation are derived. Simulation results on a multipath channel with additive white Gaussian noise show good prospects in applying DMT concepts to slowly time-varying channels

Keywords

Gaussian channels; error statistics; modulation; multipath channels; parameter estimation; time-varying channels; SNR degradation; additive white Gaussian noise; alternate channel identification approach; blind algorithm; blind identification; channel estimation errors; discrete multitone applications; mean square error; multipath channel; probability of error; signal-to-noise ratio; simulation; slowly time-varying channels; transmitted symbols; Channel estimation; Degradation; Error analysis; Mean square error methods; Multipath channels; OFDM modulation; Probability; Signal analysis; Signal to noise ratio; Statistics;

fLanguage

English

Publisher

ieee

Conference_Titel

Broadband Communications, 1998. Accessing, Transmission, Networking. Proceedings. 1998 International Zurich Seminar on

Conference_Location

Zurich

Print_ISBN

0-7803-3893-6

Type

conf

DOI

10.1109/IZSBC.1998.670253

Filename

670253