On the performance of blind equalization using the second-order statistics

Author

Zeng, Hanks H. ; Zeng, Shiyu ; Tong, Lang

Author_Institution

Dept. of Electr. & Syst. Eng., Connecticut Univ., Storrs, CT, USA

Volume

5

fYear

1996

fDate

7-10 May 1996

Firstpage

2427

Abstract

Equalization based on blind channel estimation using the second-order statistics has a rapid convergence rate and is potentially attractive in digital wireless communications. The asymptotic behavior of this type of approach is investigated. In particular, the achievable lower bounds of the asymptotic mean-square error (MSE) are derived to serve as benchmarks for a class of blind equalization algorithms using second-order statistics. It is shown that the convergence rate of these equalizers suffers when channels are ill-conditioned. Applying this analysis to systems using antenna arrays, the performance gain of multiple receivers over single receiver is evaluated analytically

Keywords

antenna arrays; array signal processing; convergence of numerical methods; digital radio; equalisers; receiving antennas; statistical analysis; telecommunication channels; MSE; antenna arrays; asymptotic behavior; asymptotic mean square error; blind channel estimation; blind equalization algorithms; blind equalization performance; convergence rate; digital radio; digital wireless communications; ill conditioned channels; lower bounds; multiple receivers; performance gain; second order statistics; single receiver; Blind equalizers; Contracts; Convergence; Finite impulse response filter; Performance analysis; Performance gain; Statistical analysis; Statistics; Systems engineering and theory; Wireless communication;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 1996. ICASSP-96. Conference Proceedings., 1996 IEEE International Conference on

Conference_Location

Atlanta, GA

ISSN

1520-6149

Print_ISBN

0-7803-3192-3

Type

conf

DOI

10.1109/ICASSP.1996.547953

Filename

547953