Accession Number:

ADA175402

Title:

Detection in Incompletely Characterized Colored Non-Gaussian Noise via Parametric Modeling

Descriptive Note:

Rept. for Aug 1984-Jul 1986

Corporate Author:

RHODE ISLAND UNIV KINGSTON DEPT OF ELECTRICAL ENGINEERING

Personal Author(s):

Report Date:

1986-08-01

Pagination or Media Count:

38.0

Abstract:

The problem of detecting a signal known except for amplitude in incompletely characterized colored non gaussian noise is addressed. The problem is formulated as a testing of composite hypotheses using parametric models for the statistical behavior of the noise. A generalized likelihood ratio test is employed. It is shown that for a symmetric noise probability density function the detection performance is asymptotically equivalent to that obtained for a detector designed with a priori knowledge of the noise parameters. Non gaussian distributions of the noise are found to be more favorable for the purpose of detection as compared to the Gaussian distribution.

Subject Categories:

  • Statistics and Probability

Distribution Statement:

APPROVED FOR PUBLIC RELEASE