DocumentCode :
2618338
Title :
FPGA implementation of correlation and ML channel estimation for long code CDMA systems
Author :
Elnamaky, Mohamed ; Massicotte, Daniel
Author_Institution :
Prince Sultan Adv. Technol. Res. Inst., King Saud Univ., Riyadh, Saudi Arabia
fYear :
2010
fDate :
10-13 May 2010
Firstpage :
418
Lastpage :
421
Abstract :
The estimation of channel delays along with their respective complex channel coefficients of different users constitutes the first stage in the detection process at the receiving base station in a CDMA communication system. This stage forms the bottleneck for the detection of users´ bit streams; both in terms of accuracy as well as execution time. In this paper, we address the problem of channel estimation in the complex scenario involving multiple users, multiple paths, and fading channels in CDMA systems. We will highlight a simple pipelined architecture for recursive channel estimators and describe the implementation issues related to the dominant type of operations, data flows, structure regularities, FPGA implementation and further figures to discuss the WCDMA real-time requirements in terms of processing capabilities..
Keywords :
channel estimation; code division multiple access; field programmable gate arrays; maximum likelihood estimation; recursive estimation; FPGA correlation; ML channel delay estimation; complex channel coefficients; fading channels; long code CDMA communication systems; multiple path channel; receiving base station; recursive channel estimators; user bit stream process; Channel estimation; Noise; CDMA; Channel Estimation; FPGA;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Sciences Signal Processing and their Applications (ISSPA), 2010 10th International Conference on
Conference_Location :
Kuala Lumpur
Print_ISBN :
978-1-4244-7165-2
Type :
conf
DOI :
10.1109/ISSPA.2010.5605456
Filename :
5605456
Link To Document :
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