MIMO NLMS-ZF data detection approach for WCDMA based HSDPA systems

Enoch Lu; I. Tai Lu

doi:10.1109/LISAT.2009.5031572

MIMO NLMS-ZF data detection approach for WCDMA based HSDPA systems

Enoch Lu, I. Tai Lu

Electrical and Computer Engineering

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

Abstract

This paper proposes several new approaches (NLMS-ZF Weighting, NLMS-ZF Iterations, NLMS-ZF Joint, and Kalman Data Detection Methods) to compare with the existing Normalized Least Mean Square (NLMS) Data Detection method for the Multiple Input Multiple Output (MIMO) High Speed Data Packet Access (HSDPA) enabled Wideband Code Division Multiple Access (WCDMA) system. The NLMS Data Detection Method has the lowest and Kalman (in general) the highest complexity of the methods. It is found that the Kalman method has the best performance and that the NLMS-ZF methods have some improvement over the NLMS Data Detection method for fast-varying channels¹.

Original language	English (US)
Title of host publication	2009 IEEE Long Island Systems, Applications and Technology Conference, LISAT 2009
DOIs	https://doi.org/10.1109/LISAT.2009.5031572
State	Published - 2009
Event	2009 IEEE Long Island Systems, Applications and Technology Conference, LISAT 2009 - Farmingdale, NY, United States Duration: May 1 2009 → May 1 2009

Publication series

Name	2009 IEEE Long Island Systems, Applications and Technology Conference, LISAT 2009

Other

Other	2009 IEEE Long Island Systems, Applications and Technology Conference, LISAT 2009
Country/Territory	United States
City	Farmingdale, NY
Period	5/1/09 → 5/1/09

Keywords

HSDPA
Kalman
MIMO
NLMS
WCDMA
ZF

ASJC Scopus subject areas

Computer Networks and Communications
Electrical and Electronic Engineering

Access to Document

10.1109/LISAT.2009.5031572

Cite this

Lu, E & Lu, IT 2009, MIMO NLMS-ZF data detection approach for WCDMA based HSDPA systems. in 2009 IEEE Long Island Systems, Applications and Technology Conference, LISAT 2009., 5031572, 2009 IEEE Long Island Systems, Applications and Technology Conference, LISAT 2009, 2009 IEEE Long Island Systems, Applications and Technology Conference, LISAT 2009, Farmingdale, NY, United States, 5/1/09. https://doi.org/10.1109/LISAT.2009.5031572

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title = "MIMO NLMS-ZF data detection approach for WCDMA based HSDPA systems",

abstract = "This paper proposes several new approaches (NLMS-ZF Weighting, NLMS-ZF Iterations, NLMS-ZF Joint, and Kalman Data Detection Methods) to compare with the existing Normalized Least Mean Square (NLMS) Data Detection method for the Multiple Input Multiple Output (MIMO) High Speed Data Packet Access (HSDPA) enabled Wideband Code Division Multiple Access (WCDMA) system. The NLMS Data Detection Method has the lowest and Kalman (in general) the highest complexity of the methods. It is found that the Kalman method has the best performance and that the NLMS-ZF methods have some improvement over the NLMS Data Detection method for fast-varying channels1.",

keywords = "HSDPA, Kalman, MIMO, NLMS, WCDMA, ZF",

author = "Enoch Lu and Lu, {I. Tai}",

year = "2009",

doi = "10.1109/LISAT.2009.5031572",

language = "English (US)",

isbn = "9781424423484",

series = "2009 IEEE Long Island Systems, Applications and Technology Conference, LISAT 2009",

booktitle = "2009 IEEE Long Island Systems, Applications and Technology Conference, LISAT 2009",

note = "2009 IEEE Long Island Systems, Applications and Technology Conference, LISAT 2009 ; Conference date: 01-05-2009 Through 01-05-2009",

}

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T1 - MIMO NLMS-ZF data detection approach for WCDMA based HSDPA systems

AU - Lu, Enoch

AU - Lu, I. Tai

PY - 2009

Y1 - 2009

N2 - This paper proposes several new approaches (NLMS-ZF Weighting, NLMS-ZF Iterations, NLMS-ZF Joint, and Kalman Data Detection Methods) to compare with the existing Normalized Least Mean Square (NLMS) Data Detection method for the Multiple Input Multiple Output (MIMO) High Speed Data Packet Access (HSDPA) enabled Wideband Code Division Multiple Access (WCDMA) system. The NLMS Data Detection Method has the lowest and Kalman (in general) the highest complexity of the methods. It is found that the Kalman method has the best performance and that the NLMS-ZF methods have some improvement over the NLMS Data Detection method for fast-varying channels1.

AB - This paper proposes several new approaches (NLMS-ZF Weighting, NLMS-ZF Iterations, NLMS-ZF Joint, and Kalman Data Detection Methods) to compare with the existing Normalized Least Mean Square (NLMS) Data Detection method for the Multiple Input Multiple Output (MIMO) High Speed Data Packet Access (HSDPA) enabled Wideband Code Division Multiple Access (WCDMA) system. The NLMS Data Detection Method has the lowest and Kalman (in general) the highest complexity of the methods. It is found that the Kalman method has the best performance and that the NLMS-ZF methods have some improvement over the NLMS Data Detection method for fast-varying channels1.

KW - HSDPA

KW - Kalman

KW - MIMO

KW - NLMS

KW - WCDMA

KW - ZF

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U2 - 10.1109/LISAT.2009.5031572

DO - 10.1109/LISAT.2009.5031572

M3 - Conference contribution

AN - SCOPUS:70349285035

SN - 9781424423484

T3 - 2009 IEEE Long Island Systems, Applications and Technology Conference, LISAT 2009

BT - 2009 IEEE Long Island Systems, Applications and Technology Conference, LISAT 2009

T2 - 2009 IEEE Long Island Systems, Applications and Technology Conference, LISAT 2009

Y2 - 1 May 2009 through 1 May 2009

ER -

MIMO NLMS-ZF data detection approach for WCDMA based HSDPA systems

Abstract

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Keywords

ASJC Scopus subject areas

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