A generalized blind channel estimation algorithm for OFDM systems with cyclic prefix

Shih Hao Fang; Ju Ya Chen; Ming Der Shieh; Jing Shiun Lin

doi:10.1109/ISCAS.2009.5118301

A generalized blind channel estimation algorithm for OFDM systems with cyclic prefix

Shih Hao Fang, Ju Ya Chen, Ming Der Shieh, Jing Shiun Lin

Department of Electrical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

4 Citations (Scopus)

Abstract

A subspace-based blind channel estimation algorithm with cyclic prefix is proposed in this paper. A systematic approach is used to construct a new signal matrix in the proposed algorithm. Compared with conventional blind channel estimation algorithm, the proposed algorithm has lower computational complexity and higher probability of full row rank for the corresponding signal matrix. In addition, fewer OFDM symbols can be used to satisfy the necessary condition for achieving a full-row-rank signal matrix. Simulation results show that the proposed algorithm outperforms conventional methods in mean-squared error and bit error rate under static channel. Even with a smaller number of received OFDM symbols, the proposed algorithm can perform well.

Original language	English
Title of host publication	2009 IEEE International Symposium on Circuits and Systems, ISCAS 2009
Pages	2469-2472
Number of pages	4
DOIs	https://doi.org/10.1109/ISCAS.2009.5118301
Publication status	Published - 2009 Oct 26
Event	2009 IEEE International Symposium on Circuits and Systems, ISCAS 2009 - Taipei, Taiwan Duration: 2009 May 24 → 2009 May 27

Publication series

Name	Proceedings - IEEE International Symposium on Circuits and Systems
ISSN (Print)	0271-4310

Other

Other	2009 IEEE International Symposium on Circuits and Systems, ISCAS 2009
Country	Taiwan
City	Taipei
Period	09-05-24 → 09-05-27

All Science Journal Classification (ASJC) codes

Electrical and Electronic Engineering

Access to Document

10.1109/ISCAS.2009.5118301

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Cite this

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title = "A generalized blind channel estimation algorithm for OFDM systems with cyclic prefix",

abstract = "A subspace-based blind channel estimation algorithm with cyclic prefix is proposed in this paper. A systematic approach is used to construct a new signal matrix in the proposed algorithm. Compared with conventional blind channel estimation algorithm, the proposed algorithm has lower computational complexity and higher probability of full row rank for the corresponding signal matrix. In addition, fewer OFDM symbols can be used to satisfy the necessary condition for achieving a full-row-rank signal matrix. Simulation results show that the proposed algorithm outperforms conventional methods in mean-squared error and bit error rate under static channel. Even with a smaller number of received OFDM symbols, the proposed algorithm can perform well.",

author = "Fang, {Shih Hao} and Chen, {Ju Ya} and Shieh, {Ming Der} and Lin, {Jing Shiun}",

year = "2009",

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Fang, SH, Chen, JY, Shieh, MD & Lin, JS 2009, A generalized blind channel estimation algorithm for OFDM systems with cyclic prefix. in 2009 IEEE International Symposium on Circuits and Systems, ISCAS 2009., 5118301, Proceedings - IEEE International Symposium on Circuits and Systems, pp. 2469-2472, 2009 IEEE International Symposium on Circuits and Systems, ISCAS 2009, Taipei, Taiwan, 09-05-24. https://doi.org/10.1109/ISCAS.2009.5118301

A generalized blind channel estimation algorithm for OFDM systems with cyclic prefix. / Fang, Shih Hao; Chen, Ju Ya; Shieh, Ming Der; Lin, Jing Shiun.

2009 IEEE International Symposium on Circuits and Systems, ISCAS 2009. 2009. p. 2469-2472 5118301 (Proceedings - IEEE International Symposium on Circuits and Systems).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - A generalized blind channel estimation algorithm for OFDM systems with cyclic prefix

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AU - Chen, Ju Ya

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N2 - A subspace-based blind channel estimation algorithm with cyclic prefix is proposed in this paper. A systematic approach is used to construct a new signal matrix in the proposed algorithm. Compared with conventional blind channel estimation algorithm, the proposed algorithm has lower computational complexity and higher probability of full row rank for the corresponding signal matrix. In addition, fewer OFDM symbols can be used to satisfy the necessary condition for achieving a full-row-rank signal matrix. Simulation results show that the proposed algorithm outperforms conventional methods in mean-squared error and bit error rate under static channel. Even with a smaller number of received OFDM symbols, the proposed algorithm can perform well.

AB - A subspace-based blind channel estimation algorithm with cyclic prefix is proposed in this paper. A systematic approach is used to construct a new signal matrix in the proposed algorithm. Compared with conventional blind channel estimation algorithm, the proposed algorithm has lower computational complexity and higher probability of full row rank for the corresponding signal matrix. In addition, fewer OFDM symbols can be used to satisfy the necessary condition for achieving a full-row-rank signal matrix. Simulation results show that the proposed algorithm outperforms conventional methods in mean-squared error and bit error rate under static channel. Even with a smaller number of received OFDM symbols, the proposed algorithm can perform well.

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