IEICE TRANSACTIONS on Communications
Enhancement of MCMV Capability for Multiuser Detection under Spreading Code Mismatch
Summary :
This letter deals with multiuser detection under imprecise knowledge of the received signature codes of all active users for multicarrier code division multiple access (MC-CDMA) systems. The weight vector of the modified multiple constrained minimum variance (MMCMV) is found by projecting the multiple constrained minimum variance (MCMV) weight vector onto a vector subspace constructed from the eigenstructure of the correlation matrix. However, MMCMV still cannot handle the large code-mismatch. Shaping the noise subspace with all estimated active spreading codes, we present an effective approach to achieve more robust capabilities than the MMCMV. Computer simulations show the effectiveness of the proposed detector.
- Publication
- IEICE TRANSACTIONS on Communications Vol.E90-B No.11 pp.3303-3306
- Publication Date
- 2007/11/01
- Publicized
- Online ISSN
- 1745-1345
- DOI
- 10.1093/ietcom/e90-b.11.3303
- Type of Manuscript
- LETTER
- Category
- Wireless Communication Technologies
Authors
Keyword
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Ann-Chen CHANG, Jeng Han SHIU, "Enhancement of MCMV Capability for Multiuser Detection under Spreading Code Mismatch" in IEICE TRANSACTIONS on Communications,
vol. E90-B, no. 11, pp. 3303-3306, November 2007, doi: 10.1093/ietcom/e90-b.11.3303.
Abstract: This letter deals with multiuser detection under imprecise knowledge of the received signature codes of all active users for multicarrier code division multiple access (MC-CDMA) systems. The weight vector of the modified multiple constrained minimum variance (MMCMV) is found by projecting the multiple constrained minimum variance (MCMV) weight vector onto a vector subspace constructed from the eigenstructure of the correlation matrix. However, MMCMV still cannot handle the large code-mismatch. Shaping the noise subspace with all estimated active spreading codes, we present an effective approach to achieve more robust capabilities than the MMCMV. Computer simulations show the effectiveness of the proposed detector.
URL: https://global.ieice.org/en_transactions/communications/10.1093/ietcom/e90-b.11.3303/_p
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@ARTICLE{e90-b_11_3303,
author={Ann-Chen CHANG, Jeng Han SHIU, },
journal={IEICE TRANSACTIONS on Communications},
title={Enhancement of MCMV Capability for Multiuser Detection under Spreading Code Mismatch},
year={2007},
volume={E90-B},
number={11},
pages={3303-3306},
abstract={This letter deals with multiuser detection under imprecise knowledge of the received signature codes of all active users for multicarrier code division multiple access (MC-CDMA) systems. The weight vector of the modified multiple constrained minimum variance (MMCMV) is found by projecting the multiple constrained minimum variance (MCMV) weight vector onto a vector subspace constructed from the eigenstructure of the correlation matrix. However, MMCMV still cannot handle the large code-mismatch. Shaping the noise subspace with all estimated active spreading codes, we present an effective approach to achieve more robust capabilities than the MMCMV. Computer simulations show the effectiveness of the proposed detector.},
keywords={},
doi={10.1093/ietcom/e90-b.11.3303},
ISSN={1745-1345},
month={November},}
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TY - JOUR
TI - Enhancement of MCMV Capability for Multiuser Detection under Spreading Code Mismatch
T2 - IEICE TRANSACTIONS on Communications
SP - 3303
EP - 3306
AU - Ann-Chen CHANG
AU - Jeng Han SHIU
PY - 2007
DO - 10.1093/ietcom/e90-b.11.3303
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E90-B
IS - 11
JA - IEICE TRANSACTIONS on Communications
Y1 - November 2007
AB - This letter deals with multiuser detection under imprecise knowledge of the received signature codes of all active users for multicarrier code division multiple access (MC-CDMA) systems. The weight vector of the modified multiple constrained minimum variance (MMCMV) is found by projecting the multiple constrained minimum variance (MCMV) weight vector onto a vector subspace constructed from the eigenstructure of the correlation matrix. However, MMCMV still cannot handle the large code-mismatch. Shaping the noise subspace with all estimated active spreading codes, we present an effective approach to achieve more robust capabilities than the MMCMV. Computer simulations show the effectiveness of the proposed detector.
ER -
English
