Joint channel estimation and multiuser detection for multipath fading channels in DS-CDMA systems

Sau-Hsuan Wu; Urbashi Mitra; C. C. Jay Kuo

doi:10.1109/ICC.2003.1204366

Joint channel estimation and multiuser detection for multipath fading channels in DS-CDMA systems

Sau-Hsuan Wu^*, Urbashi Mitra, C. C. Jay Kuo

^*Corresponding author for this work

Department of Electrical and Computer Engineering

Research output: Contribution to journal › Conference article › peer-review

4 Scopus citations

Abstract

The problem of joint blind channel estimation and multiple access interference (MAI) suppression for an asynchronous code-division multiple-access (CDMA) system is studied. A low-complexity sliding-window scheme based on the expectation maximization (EM) algorithm is developed for joint blind maximum a posteriori probability (MAP) multi-user detection (MUD) and stochastic maximum likelihood (ML) channel estimation in a dispersive fading channel. With multistage soft interference cancellation, MAI can be efficiently suppressed. Together with an initial value prediction method for algorithm initialization at each window, the proposed scheme can track fading channels on the fly with no phase ambiguities even when channel gains are close to zero.

Original language	English
Pages (from-to)	2411-2415
Number of pages	5
Journal	IEEE International Conference on Communications
Volume	4
DOIs	https://doi.org/10.1109/ICC.2003.1204366
State	Published - 18 Jul 2003
Event	2003 International Conference on Communications (ICC 2003) - Anchorage, AK, United States Duration: 11 May 2003 → 15 May 2003

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title = "Joint channel estimation and multiuser detection for multipath fading channels in DS-CDMA systems",

abstract = "The problem of joint blind channel estimation and multiple access interference (MAI) suppression for an asynchronous code-division multiple-access (CDMA) system is studied. A low-complexity sliding-window scheme based on the expectation maximization (EM) algorithm is developed for joint blind maximum a posteriori probability (MAP) multi-user detection (MUD) and stochastic maximum likelihood (ML) channel estimation in a dispersive fading channel. With multistage soft interference cancellation, MAI can be efficiently suppressed. Together with an initial value prediction method for algorithm initialization at each window, the proposed scheme can track fading channels on the fly with no phase ambiguities even when channel gains are close to zero.",

author = "Sau-Hsuan Wu and Urbashi Mitra and {Jay Kuo}, {C. C.}",

year = "2003",

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doi = "10.1109/ICC.2003.1204366",

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T1 - Joint channel estimation and multiuser detection for multipath fading channels in DS-CDMA systems

AU - Wu, Sau-Hsuan

AU - Mitra, Urbashi

AU - Jay Kuo, C. C.

PY - 2003/7/18

Y1 - 2003/7/18

N2 - The problem of joint blind channel estimation and multiple access interference (MAI) suppression for an asynchronous code-division multiple-access (CDMA) system is studied. A low-complexity sliding-window scheme based on the expectation maximization (EM) algorithm is developed for joint blind maximum a posteriori probability (MAP) multi-user detection (MUD) and stochastic maximum likelihood (ML) channel estimation in a dispersive fading channel. With multistage soft interference cancellation, MAI can be efficiently suppressed. Together with an initial value prediction method for algorithm initialization at each window, the proposed scheme can track fading channels on the fly with no phase ambiguities even when channel gains are close to zero.

AB - The problem of joint blind channel estimation and multiple access interference (MAI) suppression for an asynchronous code-division multiple-access (CDMA) system is studied. A low-complexity sliding-window scheme based on the expectation maximization (EM) algorithm is developed for joint blind maximum a posteriori probability (MAP) multi-user detection (MUD) and stochastic maximum likelihood (ML) channel estimation in a dispersive fading channel. With multistage soft interference cancellation, MAI can be efficiently suppressed. Together with an initial value prediction method for algorithm initialization at each window, the proposed scheme can track fading channels on the fly with no phase ambiguities even when channel gains are close to zero.

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U2 - 10.1109/ICC.2003.1204366

DO - 10.1109/ICC.2003.1204366

M3 - Conference article

AN - SCOPUS:0038309873

SN - 0536-1486

VL - 4

SP - 2411

EP - 2415

JO - IEEE International Conference on Communications

JF - IEEE International Conference on Communications

T2 - 2003 International Conference on Communications (ICC 2003)

Y2 - 11 May 2003 through 15 May 2003

ER -

Joint channel estimation and multiuser detection for multipath fading channels in DS-CDMA systems

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