DocumentCode :
2528333
Title :
Performance analysis of phasor estimation algorithms for a FDD-UMTS RAKE receiver
Author :
Baltersee, J. ; Fock, G. ; Schulz-Rittich, P. ; Meyr, H.
Author_Institution :
Integrated Signal Process. Syst., Aachen Univ. of Technol., Germany
Volume :
2
fYear :
2000
fDate :
2000
Firstpage :
476
Abstract :
The performance of phasor estimation algorithms for the UMTS RAKE receiver are analysed. Due to the need of covering a wide range of possible mobile speeds and spreading factors, two different algorithms are considered, namely a LMS-Kalman type algorithm, and a Wiener filter. The Wiener filter is considered both, as a predictor and a smother. It is shown that the simpler LMS-Kalman predictor is particularly suited for low mobile speeds and low spreading factors, whereas higher speeds and/or higher spreading factors require the usage of the more complex Wiener filter. Furthermore, the very high spreading factors (128-512) require the usage of the common pilot channel in order to facilitate smoothing instead of prediction
Keywords :
Kalman filters; Wiener filters; land mobile radio; least mean squares methods; multipath channels; phase estimation; radio receivers; smoothing methods; spread spectrum communication; FDD-UMTS RAKE receiver; LMS-Kalman predictor; LMS-Kalman type algorithm; UMTS radio channel; Wiener filter; common pilot channel; mobile speeds; multipath propagation; performance analysis; phasor estimation algorithms; smoothing; spreading factors; transmission model; 3G mobile communication; Algorithm design and analysis; Downlink; Fading; Multipath channels; Performance analysis; Propagation delay; RAKE receivers; Signal processing algorithms; Wiener filter;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Spread Spectrum Techniques and Applications, 2000 IEEE Sixth International Symposium on
Conference_Location :
Parsippany, NJ
Print_ISBN :
0-7803-6560-7
Type :
conf
DOI :
10.1109/ISSSTA.2000.876479
Filename :
876479
Link To Document :
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