Adaptive estimators of output SNR for random channels

Author

Kraut, Shawn ; Scharf, Louis L.

Author_Institution

Dept. of Electr. & Comput. Eng., Duke Univ., Durham, NC, USA

Volume

2

fYear

1999

fDate

24-27 Oct. 1999

Firstpage

1145

Abstract

Matched and adaptive subspace detectors are actually maximum-likelihood estimators of the output signal-to-noise ratio (SNR). This means they may be used for the dual purpose of decoding symbols (or detecting targets) and estimating channel quality. We develop their dual function; and review probability distributions and performances for these SNR estimators.

Keywords

adaptive estimation; adaptive signal detection; covariance matrices; decoding; maximum likelihood estimation; noise; probability; random processes; telecommunication channels; CFAR detector; SNR estimators; adaptive estimators; adaptive subspace detector; channel quality estimation; matched subspace detector; maximum-likelihood estimators; noise covariance matrix; output SNR; output signal-to-noise ratio; performance; probability distribution; random channels; symbol decoding; target detection; Adaptive signal detection; Detectors; Helium; Maximum likelihood decoding; Maximum likelihood detection; Maximum likelihood estimation; Noise figure; Probability distribution; Signal to noise ratio; Statistics;

fLanguage

English

Publisher

ieee

Conference_Titel

Signals, Systems, and Computers, 1999. Conference Record of the Thirty-Third Asilomar Conference on

Conference_Location

Pacific Grove, CA, USA

ISSN

1058-6393

Print_ISBN

0-7803-5700-0

Type

conf

DOI

10.1109/ACSSC.1999.831887

Filename

831887