Performance analysis of Godard-based blind channel identification

Author

Schniter, Philip ; Casas, Raúl A. ; Touzni, Azzédine ; Johnson, C. Richard, Jr.

Author_Institution

Dept. of Electr. Eng., Ohio State Univ., Columbus, OH, USA

Volume

49

Issue

8

fYear

2001

fDate

8/1/2001 12:00:00 AM

Firstpage

1757

Lastpage

1767

Abstract

We analyze a blind channel impulse response identification scheme based on the cross correlation of blind symbol estimates with the received signal. The symbol estimates specified are those minimizing the Godard (1980) (or constant modulus) criterion, for which mean-squared symbol estimation error bounds have been derived. We derive upper bounds for the average squared parameter estimation error (ASPE) of the blind identification scheme that depend on the mean-squared error of the Wiener equalizer, the kurtoses of the desired and interfering sources, and the channel impulse response. The effects of finite data length and stochastic gradient equalizer design on ASPE are also investigated. All results are derived in a general multiuser vector-channel context

Keywords

blind equalisers; mean square error methods; multiuser channels; parameter estimation; stochastic systems; transient response; ASPE; Godard-based blind channel identification; Wiener equalizer; average squared parameter estimation error; blind channel impulse response identification; blind symbol estimates; channel impulse response; constant modulus criterion; cross correlation; finite data length; general multiuser vector-channel; interfering sources; kurtoses; mean-squared error; mean-squared symbol estimation error bounds; numerical simulations; performance analysis; received signal; stochastic gradient equalizer design; upper bounds; Decision feedback equalizers; Detectors; Frequency estimation; Linear systems; Parameter estimation; Performance analysis; Phase estimation; Signal analysis; Signal processing; Upper bound;

fLanguage

English

Journal_Title

Signal Processing, IEEE Transactions on

Publisher

ieee

ISSN

1053-587X

Type

jour

DOI

10.1109/78.934147

Filename

934147