Accession Number:

ADA162607

Title:

The Theory of Detection in Incompletely Characterized Non-Gaussian Noise

Descriptive Note:

Rept. no. 2, Aug 1984-Jul 1985

Corporate Author:

RHODE ISLAND UNIV KINGSTON DEPT OF ELECTRICAL ENGINEERING

Personal Author(s):

Report Date:

1985-11-01

Pagination or Media Count:

40.0

Abstract:

The problem of detecting a signal known except for amplitude in non- Gaussian noise is addressed. The noise samples are assumed to be independent and identically distributed with a probability density function known except for a few parameters. Using a generalized likelihood ratio test it is proven 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. A computationally more efficient but equivalent test is proposed and a computer simulation performed to illustrate the theory. Keywords Electrical engineering.

Subject Categories:

  • Radiofrequency Wave Propagation

Distribution Statement:

APPROVED FOR PUBLIC RELEASE