Multiuser detection and blind adaptive vector channel estimation for CDMA systems in mobile channels

Shu Ming Tseng; Hung Chieh Yu; Chang Hsien Lin

doi:10.1109/AICT.2005.63

Multiuser detection and blind adaptive vector channel estimation for CDMA systems in mobile channels

Shu Ming Tseng^*, Hung Chieh Yu, Chang Hsien Lin

^*Corresponding author for this work

National Taipei University of Technology

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

Abstract

A blind vector channel estimation (VCE) has been proposed and it outperforms the training-based VCE for the single-user multipath DS-CDMA system in the channel with time-varying normalized Doppler rate. In this paper, we extend it to multiuser case which has multiple access interference (MAI). Therefore, we propose the use of MMSE multiuser detector to suppress MAI to get good initial channel estimation. Besides, following the joint vector channel estimation and decision-feedback MAP detector, we use the soft-input partial parallel interference cancellation (SIPPIC) to further reduce the remaining interference. The simulation results show that the MMSE-blind VCE-SIPPIC outperforms the MMSE-training-based VCE-SIPPIC is illustrated.

Original language	English
Title of host publication	Proceedings - Advanced Industrial Conference on Telecommunications/Service Assurance with Partial and Intermittent Resources Conference/E-Learning on Telecommunications Workshop AICT/SAPIR/ELETE 2005
Pages	172-176
Number of pages	5
DOIs	https://doi.org/10.1109/AICT.2005.63
State	Published - 2005
Externally published	Yes
Event	Advanced Industrial Conference on Telecommunications/Service Assurance with Partial and Intermittent Resources Conference/E-Learning on Telecommunications Workshop AICT/SAPIR/ELETE 2005 - Lisbon, Portugal Duration: 17 07 2005 → 20 07 2005

Publication series

Name	Proceedings - Advanced Industrial Conference on Telecommunications/Service Assurance with Partial and Intermittent Resources Conference/E-Learning on Telecommunications Workshop AICT/SAPIR/ELETE 2005
Volume	2005

Conference

Conference	Advanced Industrial Conference on Telecommunications/Service Assurance with Partial and Intermittent Resources Conference/E-Learning on Telecommunications Workshop AICT/SAPIR/ELETE 2005
Country/Territory	Portugal
City	Lisbon
Period	17/07/05 → 20/07/05

Access to Document

10.1109/AICT.2005.63

Cite this

Tseng, S. M., Yu, H. C., & Lin, C. H. (2005). Multiuser detection and blind adaptive vector channel estimation for CDMA systems in mobile channels. In Proceedings - Advanced Industrial Conference on Telecommunications/Service Assurance with Partial and Intermittent Resources Conference/E-Learning on Telecommunications Workshop AICT/SAPIR/ELETE 2005 (pp. 172-176). Article 1517624 (Proceedings - Advanced Industrial Conference on Telecommunications/Service Assurance with Partial and Intermittent Resources Conference/E-Learning on Telecommunications Workshop AICT/SAPIR/ELETE 2005; Vol. 2005). https://doi.org/10.1109/AICT.2005.63

Tseng, Shu Ming ; Yu, Hung Chieh ; Lin, Chang Hsien. / Multiuser detection and blind adaptive vector channel estimation for CDMA systems in mobile channels. Proceedings - Advanced Industrial Conference on Telecommunications/Service Assurance with Partial and Intermittent Resources Conference/E-Learning on Telecommunications Workshop AICT/SAPIR/ELETE 2005. 2005. pp. 172-176 (Proceedings - Advanced Industrial Conference on Telecommunications/Service Assurance with Partial and Intermittent Resources Conference/E-Learning on Telecommunications Workshop AICT/SAPIR/ELETE 2005).

@inproceedings{e673c65bf4d3498a9b0882de6e768254,

title = "Multiuser detection and blind adaptive vector channel estimation for CDMA systems in mobile channels",

abstract = "A blind vector channel estimation (VCE) has been proposed and it outperforms the training-based VCE for the single-user multipath DS-CDMA system in the channel with time-varying normalized Doppler rate. In this paper, we extend it to multiuser case which has multiple access interference (MAI). Therefore, we propose the use of MMSE multiuser detector to suppress MAI to get good initial channel estimation. Besides, following the joint vector channel estimation and decision-feedback MAP detector, we use the soft-input partial parallel interference cancellation (SIPPIC) to further reduce the remaining interference. The simulation results show that the MMSE-blind VCE-SIPPIC outperforms the MMSE-training-based VCE-SIPPIC is illustrated.",

author = "Tseng, {Shu Ming} and Yu, {Hung Chieh} and Lin, {Chang Hsien}",

year = "2005",

doi = "10.1109/AICT.2005.63",

language = "英语",

isbn = "0769523889",

series = "Proceedings - Advanced Industrial Conference on Telecommunications/Service Assurance with Partial and Intermittent Resources Conference/E-Learning on Telecommunications Workshop AICT/SAPIR/ELETE 2005",

pages = "172--176",

booktitle = "Proceedings - Advanced Industrial Conference on Telecommunications/Service Assurance with Partial and Intermittent Resources Conference/E-Learning on Telecommunications Workshop AICT/SAPIR/ELETE 2005",

note = "Advanced Industrial Conference on Telecommunications/Service Assurance with Partial and Intermittent Resources Conference/E-Learning on Telecommunications Workshop AICT/SAPIR/ELETE 2005 ; Conference date: 17-07-2005 Through 20-07-2005",

}

Tseng, SM, Yu, HC & Lin, CH 2005, Multiuser detection and blind adaptive vector channel estimation for CDMA systems in mobile channels. in Proceedings - Advanced Industrial Conference on Telecommunications/Service Assurance with Partial and Intermittent Resources Conference/E-Learning on Telecommunications Workshop AICT/SAPIR/ELETE 2005., 1517624, Proceedings - Advanced Industrial Conference on Telecommunications/Service Assurance with Partial and Intermittent Resources Conference/E-Learning on Telecommunications Workshop AICT/SAPIR/ELETE 2005, vol. 2005, pp. 172-176, Advanced Industrial Conference on Telecommunications/Service Assurance with Partial and Intermittent Resources Conference/E-Learning on Telecommunications Workshop AICT/SAPIR/ELETE 2005, Lisbon, Portugal, 17/07/05. https://doi.org/10.1109/AICT.2005.63

Multiuser detection and blind adaptive vector channel estimation for CDMA systems in mobile channels. / Tseng, Shu Ming; Yu, Hung Chieh; Lin, Chang Hsien.
Proceedings - Advanced Industrial Conference on Telecommunications/Service Assurance with Partial and Intermittent Resources Conference/E-Learning on Telecommunications Workshop AICT/SAPIR/ELETE 2005. 2005. p. 172-176 1517624 (Proceedings - Advanced Industrial Conference on Telecommunications/Service Assurance with Partial and Intermittent Resources Conference/E-Learning on Telecommunications Workshop AICT/SAPIR/ELETE 2005; Vol. 2005).

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

TY - GEN

T1 - Multiuser detection and blind adaptive vector channel estimation for CDMA systems in mobile channels

AU - Tseng, Shu Ming

AU - Yu, Hung Chieh

AU - Lin, Chang Hsien

PY - 2005

Y1 - 2005

N2 - A blind vector channel estimation (VCE) has been proposed and it outperforms the training-based VCE for the single-user multipath DS-CDMA system in the channel with time-varying normalized Doppler rate. In this paper, we extend it to multiuser case which has multiple access interference (MAI). Therefore, we propose the use of MMSE multiuser detector to suppress MAI to get good initial channel estimation. Besides, following the joint vector channel estimation and decision-feedback MAP detector, we use the soft-input partial parallel interference cancellation (SIPPIC) to further reduce the remaining interference. The simulation results show that the MMSE-blind VCE-SIPPIC outperforms the MMSE-training-based VCE-SIPPIC is illustrated.

AB - A blind vector channel estimation (VCE) has been proposed and it outperforms the training-based VCE for the single-user multipath DS-CDMA system in the channel with time-varying normalized Doppler rate. In this paper, we extend it to multiuser case which has multiple access interference (MAI). Therefore, we propose the use of MMSE multiuser detector to suppress MAI to get good initial channel estimation. Besides, following the joint vector channel estimation and decision-feedback MAP detector, we use the soft-input partial parallel interference cancellation (SIPPIC) to further reduce the remaining interference. The simulation results show that the MMSE-blind VCE-SIPPIC outperforms the MMSE-training-based VCE-SIPPIC is illustrated.

UR - http://www.scopus.com/inward/record.url?scp=33751014051&partnerID=8YFLogxK

U2 - 10.1109/AICT.2005.63

DO - 10.1109/AICT.2005.63

M3 - 会议稿件

AN - SCOPUS:33751014051

SN - 0769523889

SN - 9780769523880

T3 - Proceedings - Advanced Industrial Conference on Telecommunications/Service Assurance with Partial and Intermittent Resources Conference/E-Learning on Telecommunications Workshop AICT/SAPIR/ELETE 2005

SP - 172

EP - 176

BT - Proceedings - Advanced Industrial Conference on Telecommunications/Service Assurance with Partial and Intermittent Resources Conference/E-Learning on Telecommunications Workshop AICT/SAPIR/ELETE 2005

T2 - Advanced Industrial Conference on Telecommunications/Service Assurance with Partial and Intermittent Resources Conference/E-Learning on Telecommunications Workshop AICT/SAPIR/ELETE 2005

Y2 - 17 July 2005 through 20 July 2005

ER -

Tseng SM, Yu HC, Lin CH. Multiuser detection and blind adaptive vector channel estimation for CDMA systems in mobile channels. In Proceedings - Advanced Industrial Conference on Telecommunications/Service Assurance with Partial and Intermittent Resources Conference/E-Learning on Telecommunications Workshop AICT/SAPIR/ELETE 2005. 2005. p. 172-176. 1517624. (Proceedings - Advanced Industrial Conference on Telecommunications/Service Assurance with Partial and Intermittent Resources Conference/E-Learning on Telecommunications Workshop AICT/SAPIR/ELETE 2005). doi: 10.1109/AICT.2005.63

Multiuser detection and blind adaptive vector channel estimation for CDMA systems in mobile channels

Abstract

Publication series

Conference

Access to Document

Other files and links

Fingerprint

Cite this