Convergenge of an optimal channel estimation algorithm for DS-CDMA systems in time-varying channels with strong interference

Author

Tsai, S. Hiauhe ; Lehnert, James S.

Author_Institution

Sch. of Electr. & Comput. Eng., Purdue Univ., West Lafayette, IN, USA

Volume

2

fYear

2000

fDate

2000

Firstpage

871

Abstract

An optimal algorithm for channel parameter estimation in direct-sequence spread-spectrum (DS-SS) systems with strong interference is examined in this paper. The algorithm is based on the maximum likelihood (ML) criterion and a modification of the extended Kalman filter. The algorithm is shown with an asymptotic analysis to determine the actual channel parameters. A complete implementation of the algorithm is described, and its transient behavior is examined by computer simulations

Keywords

Kalman filters; code division multiple access; convergence; interference (signal); maximum likelihood estimation; spread spectrum communication; time-varying channels; DS-CDMA systems; asymptotic analysis; channel parameter estimation; direct-sequence spread-spectrum; extended Kalman filter; maximum likelihood criterion; optimal channel estimation algorithm; strong interference; time-varying channels; transient behavior; Bit error rate; Change detection algorithms; Channel estimation; Convergence; Fading; Maximum likelihood detection; Maximum likelihood estimation; Multiaccess communication; Parameter estimation; Time-varying channels;

fLanguage

English

Publisher

ieee

Conference_Titel

MILCOM 2000. 21st Century Military Communications Conference Proceedings

Conference_Location

Los Angeles, CA

Print_ISBN

0-7803-6521-6

Type

conf

DOI

10.1109/MILCOM.2000.904055

Filename

904055