Blind identification of OFDM channel using receiver diversity

Ying Lin; Hao Wang; Biao Chen

doi:10.1109/ICOSP.2002.1180038

Blind identification of OFDM channel using receiver diversity

Ying Lin, Hao Wang, Biao Chen

Department of Electrical Engineering & Computer Science

Research output: Chapter in Book/Entry/Poem › Conference contribution

Abstract

In this paper we investigate non data-aided channel estimation for OFDM systems. By exploiting channel diversity with multiple receive antennas, we propose a blind deterministic algorithm that can perfectly recover the channel response using only a single OFDM block. We study the extension of the proposed algorithm to the case when virtual carriers are present and provide some important identiflability results. In addition to being data efficient, the proposed algorithm is independent of the input symbol constellation, computationally efficient, and superior in performance compared with most existing blind algorithms.

Original language	English (US)
Title of host publication	ICSP 2002 - 2002 6th International Conference on Signal Processing, Proceedings
Editors	Baozong Yuan, Xiaofang Tang
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1330-1335
Number of pages	6
ISBN (Electronic)	0780374886
DOIs	https://doi.org/10.1109/ICOSP.2002.1180038
State	Published - 2002
Event	6th International Conference on Signal Processing, ICSP 2002 - Beijing, China Duration: Aug 26 2002 → Aug 30 2002

Publication series

Name	International Conference on Signal Processing Proceedings, ICSP
Volume	2

Other

Other	6th International Conference on Signal Processing, ICSP 2002
Country/Territory	China
City	Beijing
Period	8/26/02 → 8/30/02

ASJC Scopus subject areas

Software
Signal Processing
Computer Science Applications

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10.1109/ICOSP.2002.1180038

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Lin, Y., Wang, H., & Chen, B. (2002). Blind identification of OFDM channel using receiver diversity. In B. Yuan, & X. Tang (Eds.), ICSP 2002 - 2002 6th International Conference on Signal Processing, Proceedings (pp. 1330-1335). Article 1180038 (International Conference on Signal Processing Proceedings, ICSP; Vol. 2). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICOSP.2002.1180038

Blind identification of OFDM channel using receiver diversity. / Lin, Ying; Wang, Hao; Chen, Biao.
ICSP 2002 - 2002 6th International Conference on Signal Processing, Proceedings. ed. / Baozong Yuan; Xiaofang Tang. Institute of Electrical and Electronics Engineers Inc., 2002. p. 1330-1335 1180038 (International Conference on Signal Processing Proceedings, ICSP; Vol. 2).

Research output: Chapter in Book/Entry/Poem › Conference contribution

Lin, Y, Wang, H & Chen, B 2002, Blind identification of OFDM channel using receiver diversity. in B Yuan & X Tang (eds), ICSP 2002 - 2002 6th International Conference on Signal Processing, Proceedings., 1180038, International Conference on Signal Processing Proceedings, ICSP, vol. 2, Institute of Electrical and Electronics Engineers Inc., pp. 1330-1335, 6th International Conference on Signal Processing, ICSP 2002, Beijing, China, 8/26/02. https://doi.org/10.1109/ICOSP.2002.1180038

Lin Y, Wang H, Chen B. Blind identification of OFDM channel using receiver diversity. In Yuan B, Tang X, editors, ICSP 2002 - 2002 6th International Conference on Signal Processing, Proceedings. Institute of Electrical and Electronics Engineers Inc. 2002. p. 1330-1335. 1180038. (International Conference on Signal Processing Proceedings, ICSP). doi: 10.1109/ICOSP.2002.1180038

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AB - In this paper we investigate non data-aided channel estimation for OFDM systems. By exploiting channel diversity with multiple receive antennas, we propose a blind deterministic algorithm that can perfectly recover the channel response using only a single OFDM block. We study the extension of the proposed algorithm to the case when virtual carriers are present and provide some important identiflability results. In addition to being data efficient, the proposed algorithm is independent of the input symbol constellation, computationally efficient, and superior in performance compared with most existing blind algorithms.

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Blind identification of OFDM channel using receiver diversity

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