Title :
MIMO NLMS-ZF data detection approach for WCDMA based HSDPA systems
Author :
Lu, I-Tai ; Lu, Enoch
Author_Institution :
Dept. of Electr. & Comput. Eng., NYU, Brooklyn, NY
fDate :
March 30 2009-April 1 2009
Abstract :
This paper details the nontrivial extension of the novel Normalized Least Mean Square Zero Forcing (NLMS-ZF) data detection algorithm from single input single output (SISO) to Multiple Inputs Multiple Outputs (MIMO) for the High Speed Data Packet Access (HSDPA) enabled Wideband Code Division Multiple Access (WCDMA) system. The MIMO NLMS-ZF algorithm which utilizes channel state information has had limited success due to difficulty in obtaining both simplicity and a rigorous solution. Even so, with only an approximate solution, it still performs better than the NLMS data detection algorithm for fast-varying channels.
Keywords :
3G mobile communication; MIMO communication; code division multiple access; least mean squares methods; HSDPA systems; MIMO data detection approach; WCDMA; channel state information; multiple inputs multiple outputs; normalized least mean square zero forcing; single input single output; wideband code division multiple access; Channel state information; Correlators; Detection algorithms; Downlink; Fading; MIMO; Multiaccess communication; Multiple access interference; Performance loss; Wideband; HSDPA; MIMO; NLMS; WCDMA; ZF;
Conference_Titel :
Sarnoff Symposium, 2009. SARNOFF '09. IEEE
Conference_Location :
Princeton, NJ
Print_ISBN :
978-1-4244-3381-0
Electronic_ISBN :
978-1-4244-3382-7
DOI :
10.1109/SARNOF.2009.4850310
