MIMO NLMS-ZF Data Detection approach for WCDMA based HSDPA systems

Author

Lu, I-Tai ; I-Tai Lu

Author_Institution

Dept. of Electr. & Comput. Eng., Polytech. Inst. of NYU, Brooklyn, NY

fYear

2009

fDate

1-1 May 2009

Firstpage

1

Lastpage

5

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 channels.

Keywords

3G mobile communication; Kalman filters; MIMO communication; code division multiple access; iterative methods; least mean squares methods; packet radio networks; radio links; wireless channels; HSDPA systems; Kalman data detection methods; MIMO NLMS-ZF data detection; NLMS-ZF iterations; NLMS-ZF joint; NLMS-ZF weighting; WCDMA system; fast-varying channels; high speed data packet access; normalized least mean square; wideband code division multiple access; Bit error rate; Channel state information; Detection algorithms; Information retrieval; Interference; Kalman filters; MIMO; Multiaccess communication; Rayleigh channels; Wideband; HSDPA; Kalman; MIMO; NLMS; WCDMA; ZF;

fLanguage

English

Publisher

ieee

Conference_Titel

Systems, Applications and Technology Conference, 2009. LISAT '09. IEEE Long Island

Conference_Location

Farmingdale, NY

Print_ISBN

978-1-4244-2347-7

Electronic_ISBN

978-1-4244-2348-4

Type

conf

DOI

10.1109/LISAT.2009.5031572

Filename

5031572