@inproceedings{17969ddff2f44d7ebe07bdad1b4cb005,
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",
}