Minimum Variance Multi-User Detection with Optimum Subband Decomposition over Multipath Channels

Wan-Shing YANG; Wen-Hsien FANG; Che-Yu LIN

doi:10.1093/ietcom/e89-b.11.3075

Minimum Variance Multi-User Detection with Optimum Subband Decomposition over Multipath Channels

Wan-Shing YANG, Wen-Hsien FANG, Che-Yu LIN

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This paper presents a linear constrained minimum variance multiuser detection (MUD) scheme for DS-CDMA systems, which makes full use of the available spreading sequences of the users as well as the relevant channel information of the incoming rays in the construction of the constraint matrix. To further enhance the performance, a statistical optimum filter bank in combination with the developed minimum variance MUD with the partitioned linear interference canceller (PLIC) as the underlying structure is also addressed. The determination of the filter bank coefficients, however, calls for computationally demanding nonlinear programming. To alleviate the computational overhead, an iterative procedure is also proposed, which solves the Rayleigh quotient in each iteration. Furthermore, the expressions of the output signal to interference plus noise ratio (SINR) are also determined to provide further insights into the proposed approach. Conducted simulations validate the new scheme.

Publication: IEICE TRANSACTIONS on Communications Vol.E89-B No.11 pp.3075-3082

Publication Date: 2006/11/01

Publicized

Online ISSN: 1745-1345

DOI: 10.1093/ietcom/e89-b.11.3075

Type of Manuscript: PAPER

Category: Wireless Communication Technologies

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Wan-Shing YANG, Wen-Hsien FANG, Che-Yu LIN, "Minimum Variance Multi-User Detection with Optimum Subband Decomposition over Multipath Channels" in IEICE TRANSACTIONS on Communications, vol. E89-B, no. 11, pp. 3075-3082, November 2006, doi: 10.1093/ietcom/e89-b.11.3075.
Abstract: This paper presents a linear constrained minimum variance multiuser detection (MUD) scheme for DS-CDMA systems, which makes full use of the available spreading sequences of the users as well as the relevant channel information of the incoming rays in the construction of the constraint matrix. To further enhance the performance, a statistical optimum filter bank in combination with the developed minimum variance MUD with the partitioned linear interference canceller (PLIC) as the underlying structure is also addressed. The determination of the filter bank coefficients, however, calls for computationally demanding nonlinear programming. To alleviate the computational overhead, an iterative procedure is also proposed, which solves the Rayleigh quotient in each iteration. Furthermore, the expressions of the output signal to interference plus noise ratio (SINR) are also determined to provide further insights into the proposed approach. Conducted simulations validate the new scheme.
URL: https://global.ieice.org/en_transactions/communications/10.1093/ietcom/e89-b.11.3075/_p

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@ARTICLE{e89-b_11_3075,
author={Wan-Shing YANG, Wen-Hsien FANG, Che-Yu LIN, },
journal={IEICE TRANSACTIONS on Communications},
title={Minimum Variance Multi-User Detection with Optimum Subband Decomposition over Multipath Channels},
year={2006},
volume={E89-B},
number={11},
pages={3075-3082},
abstract={This paper presents a linear constrained minimum variance multiuser detection (MUD) scheme for DS-CDMA systems, which makes full use of the available spreading sequences of the users as well as the relevant channel information of the incoming rays in the construction of the constraint matrix. To further enhance the performance, a statistical optimum filter bank in combination with the developed minimum variance MUD with the partitioned linear interference canceller (PLIC) as the underlying structure is also addressed. The determination of the filter bank coefficients, however, calls for computationally demanding nonlinear programming. To alleviate the computational overhead, an iterative procedure is also proposed, which solves the Rayleigh quotient in each iteration. Furthermore, the expressions of the output signal to interference plus noise ratio (SINR) are also determined to provide further insights into the proposed approach. Conducted simulations validate the new scheme.},
keywords={},
doi={10.1093/ietcom/e89-b.11.3075},
ISSN={1745-1345},
month={November},}

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TY - JOUR
TI - Minimum Variance Multi-User Detection with Optimum Subband Decomposition over Multipath Channels
T2 - IEICE TRANSACTIONS on Communications
SP - 3075
EP - 3082
AU - Wan-Shing YANG
AU - Wen-Hsien FANG
AU - Che-Yu LIN
PY - 2006
DO - 10.1093/ietcom/e89-b.11.3075
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E89-B
IS - 11
JA - IEICE TRANSACTIONS on Communications
Y1 - November 2006
AB - This paper presents a linear constrained minimum variance multiuser detection (MUD) scheme for DS-CDMA systems, which makes full use of the available spreading sequences of the users as well as the relevant channel information of the incoming rays in the construction of the constraint matrix. To further enhance the performance, a statistical optimum filter bank in combination with the developed minimum variance MUD with the partitioned linear interference canceller (PLIC) as the underlying structure is also addressed. The determination of the filter bank coefficients, however, calls for computationally demanding nonlinear programming. To alleviate the computational overhead, an iterative procedure is also proposed, which solves the Rayleigh quotient in each iteration. Furthermore, the expressions of the output signal to interference plus noise ratio (SINR) are also determined to provide further insights into the proposed approach. Conducted simulations validate the new scheme.
ER -