DocumentCode
550191
Title
A novel H∞ channel estimator design method for DS-CDMA communication systems
Author
Wang Wei ; Zhang Huanshui ; Jiang Xiangyuan
Author_Institution
Sch. of Control Sci. & Eng., Shandong Univ., Jinan, China
fYear
2011
fDate
22-24 July 2011
Firstpage
4365
Lastpage
4370
Abstract
In the communications literature, a number of different algorithms have been proposed for channel estimation problems with the statistics of the channel noise and observation noise exactly known. In practical systems, however, the channel parameters are often estimated using training sequences which lead to the statistics of the channel noise difficult to obtain. Moreover, the received signals are corrupted not only by the ambient noises but also by multiple-access interferences, so the statistics of observation noises are also difficult to obtain. In this paper, we will investigate the H∞ channel estimation problem for direct-sequence code-division multiple-access (DS-CDMA) communication systems with time-varying multipath fading channels. The channel estimator is designed by applying a partial difference equation approach together with the innovation analysis theory. This method can give an sufficient and necessary condition for the existence of an H∞ channel estimator.
Keywords
channel estimation; code division multiple access; fading channels; multipath channels; partial differential equations; spread spectrum communication; statistical analysis; DS-CDMA communication systems; H∞ channel estimator design method; direct-sequence code-division multiple-access communication systems; multiple-access interferences; partial difference equation approach; time-varying multipath fading channels; Channel estimation; Covariance matrix; Fading; Kalman filters; Multiaccess communication; Noise; Technological innovation; DS-CDMA System; H∞ Channel Estimation; Innovation Analysis; Partial Difference Equations;
fLanguage
English
Publisher
ieee
Conference_Titel
Control Conference (CCC), 2011 30th Chinese
Conference_Location
Yantai
ISSN
1934-1768
Print_ISBN
978-1-4577-0677-6
Electronic_ISBN
1934-1768
Type
conf
Filename
6000528
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