Performance evaluation of blind channel identification methods based on oversampling

Author

Pinto, Ernesto Leite ; Silva, Clayton J A

Author_Institution

Dept. de Engenharia Eletrica, Inst. Militar de Engenharia, Rio de Janeiro, Brazil

Volume

1

fYear

1998

Firstpage

165

Abstract

This paper addresses the performance evaluation of two methods that marked the beginning of a brand new direction in blind channel identification using only second-order statistics: TXK and subspace methods. Computer simulations are conducted to investigate the following features of the algorithms: sensitivity to SNR, rate of convergence, computational complexity, sensitivity to noise correlation, robustness to error in model order estimates

Keywords

blind equalisers; computational complexity; convergence of numerical methods; parameter estimation; sensitivity analysis; signal sampling; statistical analysis; telecommunication channels; white noise; SNR sensitivity; TXK method; blind channel identification; computational complexity; computer simulations; convergence rate; model order estimates; noise correlation sensitivity; oversampling; performance evaluation; robustness to error; second-order statistics; subspace method; Computational complexity; Computer errors; Computer simulation; Convergence; Digital communication; Equalizers; Finite impulse response filter; Higher order statistics; Noise robustness; Signal to noise ratio;

fLanguage

English

Publisher

ieee

Conference_Titel

Military Communications Conference, 1998. MILCOM 98. Proceedings., IEEE

Print_ISBN

0-7803-4506-1

Type

conf

DOI

10.1109/MILCOM.1998.722565

Filename

722565