Title :
The linear predictive estimation in the RAKE for multipath-fading channel with white noise of general distributions
Author :
Shen, Qiang ; Wu, Bo-Xiu ; Elhakeem, A.K. ; Liao, Ke-Qiang
Author_Institution :
Dept. de Comput. Sci., Quebec Univ., Hull, Que., Canada
fDate :
28 Nov- 2 Dec 1994
Abstract :
The parameter estimation of the multipath and fading channel for a RAKE correlator is investigated. A linear predictor is proposed to get better estimation. Since the industrial interference is generally impulsive, the investigation is under a general distribution assumption for white noise. A parallel LMS adaptive algorithm is proposed to reduce the impairment of impulsive noise and decision feedback error on predictor weights adjustment. Performance analysis and computer simulations are presented
Keywords :
correlators; fading; interference suppression; least mean squares methods; multipath channels; parallel algorithms; parameter estimation; prediction theory; pseudonoise codes; radio receivers; spread spectrum communication; time-varying channels; white noise; PN sequence; RAKE correlator; computer simulation; decision feedback error; direct sequence spread spectrum communication; general distribution assumption; impulsive interference; impulsive noise; industrial interference; linear predictive estimation; multipath-fading channel; parallel LMS adaptive algorithm; parameter estimation; performance analysis; predictor weights adjustment; white noise; Adaptive algorithm; Computer errors; Correlators; Fading; Feedback; Interference; Least squares approximation; Noise reduction; Parameter estimation; White noise;
Conference_Titel :
Global Telecommunications Conference, 1994. GLOBECOM '94. Communications: The Global Bridge., IEEE
Conference_Location :
San Francisco, CA
Print_ISBN :
0-7803-1820-X
DOI :
10.1109/GLOCOM.1994.513148
