Title :
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
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;
Conference_Titel :
MILCOM 2000. 21st Century Military Communications Conference Proceedings
Conference_Location :
Los Angeles, CA
Print_ISBN :
0-7803-6521-6
DOI :
10.1109/MILCOM.2000.904055
