Signal detection for time-varying vector channels

Author

Diggavi, Suhas N. ; Paulraj, Arogyaswami

Author_Institution

Inf. Syst. Lab., Stanford Univ., CA, USA

Volume

1

fYear

1995

fDate

Oct. 30 1995-Nov. 1 1995

Firstpage

152

Abstract

We look at the problem of signal detection over time-varying channels using spatio-temporal processing. We first derive a matched filter bound for a fading vector channel. Next, we derive an upper bound on the pairwise probability of error in fading vector channels and show that for perfect channel estimation we do not observe error-flooring. We present a signal detection algorithm which approximates the maximum likelihood joint channel-data estimator for vector channels. Finally we present some simulation results of this algorithm for fast time-varying vector channels.

Keywords

error statistics; fading; filtering theory; matched filters; maximum likelihood detection; maximum likelihood estimation; probability; time-varying channels; fading vector channel; matched filter bound; maximum likelihood joint channel-data estimator; pairwise error probability; perfect channel estimation; signal detection algorithm; simulation results; spatiotemporal processing; time-varying vector channels; upper bound; Delay; Fading; Finite impulse response filter; Maximum likelihood detection; Maximum likelihood estimation; Pulse shaping methods; Signal detection; Time-varying channels; Upper bound; Wireless LAN;

fLanguage

English

Publisher

ieee

Conference_Titel

Signals, Systems and Computers, 1995. 1995 Conference Record of the Twenty-Ninth Asilomar Conference on

Conference_Location

Pacific Grove, CA, USA

ISSN

1058-6393

Print_ISBN

0-8186-7370-2

Type

conf

DOI

10.1109/ACSSC.1995.540531

Filename

540531