Error probability estimator structures based on analysis of the receiver decision variable

Author

Scholz, Jason B. ; Davis, Bruce R.

Author_Institution

Defence Sci. & Technol. Organ., Salisbury, SA, Australia

Volume

43

Issue

8

fYear

1995

fDate

8/1/1995 12:00:00 AM

Firstpage

2311

Lastpage

2315

Abstract

The paper presents schemes for rapid on-line error probability estimation of digital communications links. Several estimator structures are proposed based on the assumption of sample independence, including weighted least squares (WLS) and maximum likelihood (ML) forms. The continuous-form ML estimator is shown to lie on the Rao-Cramer bound, making it a most efficient estimator of probability of error. The design, performance, implementation complexity and behavior of these estimators is described for AWGN

Keywords

Gaussian noise; computational complexity; digital communication; error analysis; least squares approximations; maximum likelihood estimation; probability; receivers; signal sampling; white noise; AWGN; Rao-Cramer bound; additive white Gaussian noise; design; digital communications links; error probability estimator structures; estimator structures; implementation complexity; maximum likelihood; on-line error probability estimation; performance; receiver decision variable; sample independence; weighted least squares; AWGN; Digital communication; Error probability; Estimation error; Feature extraction; Helium; Least squares approximation; Maximum likelihood estimation; Statistical distributions; Testing;

fLanguage

English

Journal_Title

Communications, IEEE Transactions on

Publisher

ieee

ISSN

0090-6778

Type

jour

DOI

10.1109/26.403763

Filename

403763