A statistical subspace method for blind channel identification in OFDM communications

Author

Zhuang, Xiangyang ; Ding, Zhi ; Swindlehurtst, A.L.

Author_Institution

Dept. of Electr. & Comput. Eng., Brigham Young Univ., Provo, UT, USA

Volume

5

fYear

2000

fDate

2000

Firstpage

2493

Abstract

This paper presents a subspace method for blind channel estimation based on A a special output correlation matrix. The approach relies on the i.i.d. assumption of the data sequence and uses the cyclic prefix redundancy present in OFDM systems or single-carrier systems with frequency domain equalization. This method has an important feature that allows channels to be longer than the cyclic prefix. In addition, unknown frame synchronization can be accommodated. There is no constraint on the zero locations of the channel and the performance is asymptotically independent of white noise. The method is compared with a simple correlation approach and a deterministic subspace method

Keywords

OFDM modulation; correlation methods; equalisers; frequency-domain analysis; identification; matrix algebra; statistical analysis; synchronisation; telecommunication channels; OFDM communications; OFDM systems; blind channel identification; channel zero locations; correlation approach; cyclic prefix redundancy; deterministic subspace method; frame synchronization; frequency domain equalization; i.i.d. data sequence; output correlation matrix; performance; single-carrier systems; statistical subspace method; subspace method; white noise; Channel estimation; Cities and towns; Deconvolution; Demodulation; Dispersion; Frequency domain analysis; Frequency synchronization; OFDM; Transmitters; White noise;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 2000. ICASSP '00. Proceedings. 2000 IEEE International Conference on

Conference_Location

Istanbul

ISSN

1520-6149

Print_ISBN

0-7803-6293-4

Type

conf

DOI

10.1109/ICASSP.2000.860945

Filename

860945