A signal permutation method for cyclic-prefix-free OFDM channel estimation

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

doi:10.1109/APCCAS.2010.5774830

A signal permutation method for cyclic-prefix-free OFDM channel estimation

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

Abstract

A subspace approach for blind channel estimation in SIMO-OFDM systems without cyclic prefix is proposed in this paper. By exploiting a repetition index in the signal model, our algorithm generalizes the conventional subspace approach. The computational complexity of the singular value decomposition (SVD) operation in the proposed method is lower than that in other subspace approaches. Additionally, the proposed approach is suitable for cyclic-prefix-free systems. An extra benefit is that fewer OFDM blocks are needed to satisfy the necessary condition of the signal matrix to be full rank. Simulation results show that the proposed method is better than existing approaches in normalized mean square error.

Original language	English
Title of host publication	Proceedings of the 2010 Asia Pacific Conference on Circuit and System, APCCAS 2010
Pages	656-659
Number of pages	4
DOIs	https://doi.org/10.1109/APCCAS.2010.5774830
Publication status	Published - 2010
Event	2010 Asia Pacific Conference on Circuit and System, APCCAS 2010 - Kuala Lumpur, Malaysia Duration: 2010 Dec 6 → 2010 Dec 9

Other

Other	2010 Asia Pacific Conference on Circuit and System, APCCAS 2010
Country	Malaysia
City	Kuala Lumpur
Period	10-12-06 → 10-12-09

All Science Journal Classification (ASJC) codes

Electrical and Electronic Engineering

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title = "A signal permutation method for cyclic-prefix-free OFDM channel estimation",

abstract = "A subspace approach for blind channel estimation in SIMO-OFDM systems without cyclic prefix is proposed in this paper. By exploiting a repetition index in the signal model, our algorithm generalizes the conventional subspace approach. The computational complexity of the singular value decomposition (SVD) operation in the proposed method is lower than that in other subspace approaches. Additionally, the proposed approach is suitable for cyclic-prefix-free systems. An extra benefit is that fewer OFDM blocks are needed to satisfy the necessary condition of the signal matrix to be full rank. Simulation results show that the proposed method is better than existing approaches in normalized mean square error.",

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

year = "2010",

doi = "10.1109/APCCAS.2010.5774830",

language = "English",

isbn = "9781424474561",

pages = "656--659",

booktitle = "Proceedings of the 2010 Asia Pacific Conference on Circuit and System, APCCAS 2010",

note = "2010 Asia Pacific Conference on Circuit and System, APCCAS 2010 ; Conference date: 06-12-2010 Through 09-12-2010",

}

Fang, SH, Chen, JY, Shieh, M-D & Lin, JS 2010, A signal permutation method for cyclic-prefix-free OFDM channel estimation. in Proceedings of the 2010 Asia Pacific Conference on Circuit and System, APCCAS 2010., 5774830, pp. 656-659, 2010 Asia Pacific Conference on Circuit and System, APCCAS 2010, Kuala Lumpur, Malaysia, 10-12-06. https://doi.org/10.1109/APCCAS.2010.5774830

TY - GEN

T1 - A signal permutation method for cyclic-prefix-free OFDM channel estimation

AU - Fang, Shih Hao

AU - Chen, Ju Ya

AU - Shieh, Ming-Der

AU - Lin, Jing Shiun

PY - 2010

Y1 - 2010

N2 - A subspace approach for blind channel estimation in SIMO-OFDM systems without cyclic prefix is proposed in this paper. By exploiting a repetition index in the signal model, our algorithm generalizes the conventional subspace approach. The computational complexity of the singular value decomposition (SVD) operation in the proposed method is lower than that in other subspace approaches. Additionally, the proposed approach is suitable for cyclic-prefix-free systems. An extra benefit is that fewer OFDM blocks are needed to satisfy the necessary condition of the signal matrix to be full rank. Simulation results show that the proposed method is better than existing approaches in normalized mean square error.

AB - A subspace approach for blind channel estimation in SIMO-OFDM systems without cyclic prefix is proposed in this paper. By exploiting a repetition index in the signal model, our algorithm generalizes the conventional subspace approach. The computational complexity of the singular value decomposition (SVD) operation in the proposed method is lower than that in other subspace approaches. Additionally, the proposed approach is suitable for cyclic-prefix-free systems. An extra benefit is that fewer OFDM blocks are needed to satisfy the necessary condition of the signal matrix to be full rank. Simulation results show that the proposed method is better than existing approaches in normalized mean square error.

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SN - 9781424474561

SP - 656

EP - 659

BT - Proceedings of the 2010 Asia Pacific Conference on Circuit and System, APCCAS 2010

T2 - 2010 Asia Pacific Conference on Circuit and System, APCCAS 2010

Y2 - 6 December 2010 through 9 December 2010

ER -

A signal permutation method for cyclic-prefix-free OFDM channel estimation

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