Performance analysis of a second order statistics based solution for the MIMO channel identification problem

Author

Xavier, João ; Barroso, Victor

Author_Institution

Instituto de Sistemas e Robotica, Instituto Superior Tecnico, Lisboa, Portugal

Volume

4

fYear

2001

fDate

2001

Firstpage

2141

Abstract

The CFC₂ algorithm is a recently introduced analytical solution for the blind MIMO channel identification problem, provided a certain spectral diversity holds for the stochastic inputs of the MIMO system. Here, we develop a theoretical study to derive the asymptotic performance of the CFC₂ algorithm, in terms of mean-square error. Asymptotic normality of the MIMO channel estimate is proved, and the asymptotic error covariance matrix derived. Computer simulation results are included to validate the theoretical expressions

Keywords

blind equalisers; covariance analysis; covariance matrices; error statistics; mean square error methods; spectral analysis; state estimation; CFC2 algorithm; MIMO channel; asymptotic error covariance matrix; asymptotic normality; asymptotic performance; blind channel identification; channel estimate; mean square error; second order statistics; spectral diversity; stochastic inputs; Algorithm design and analysis; Computer errors; Computer simulation; Covariance matrix; Filtering; MIMO; Performance analysis; Statistical analysis; Statistics; Stochastic systems;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 2001. Proceedings. (ICASSP '01). 2001 IEEE International Conference on

Conference_Location

Salt Lake City, UT

ISSN

1520-6149

Print_ISBN

0-7803-7041-4

Type

conf

DOI

10.1109/ICASSP.2001.940417

Filename

940417