Blind equalization of OFDM signals on HF-channels

Author

Akmouche, Walter ; Gruffaz, Stephanie ; Quinquis, A.

Volume

2

fYear

2000

fDate

Oct. 29 2000-Nov. 1 2000

Firstpage

1806

Abstract

This paper deals with the analysis of OFDM signals in a NDA (non-data aided) context. Assuming the detection of an OFDM signal and the estimation of its bandwidth, our goal is first to estimate the number of sub-carriers. Then we apply the MUSIC algorithm with Akaike´s decision criterion to obtain the number of sub-carriers: the number of carriers can be estimated with an error lower or equal to 9% in 100% of the cases until the SNR=10 dB. We can then demodulate the signal. The paper also discuss the improvement of the blind equalization of the demodulated signal to reduce as much as possible the bit error rate (BER). We show that the BER can be divided by 3 by using a transversal equalizer structure with a stochastic gradient algorithm.

Keywords

OFDM modulation; blind equalisers; decision theory; demodulation; error statistics; parameter estimation; signal classification; signal detection; telecommunication channels; Akaike´s decision criterion; BER reduction; HF-channels; MUSIC algorithm; OFDM signal analysis; OFDM signal detection; SNR; bandwidth estimation; blind equalization; nondata aided signal analysis; signal demodulation; stochastic gradient algorithm; sub-carrier estimation; transversal equalizer structure; Additive noise; Bandwidth; Bit error rate; Blind equalizers; Covariance matrix; Frequency division multiplexing; Multiple signal classification; OFDM modulation; Signal analysis; Stochastic processes;

fLanguage

English

Publisher

ieee

Conference_Titel

Signals, Systems and Computers, 2000. Conference Record of the Thirty-Fourth Asilomar Conference on

Conference_Location

Pacific Grove, CA, USA

ISSN

1058-6393

Print_ISBN

0-7803-6514-3

Type

conf

DOI

10.1109/ACSSC.2000.911299

Filename

911299