Accession Number:

ADA164924

Title:

Robust and Nonparametric Detection of Fading Narrowband Signals

Descriptive Note:

Technical rept. Sep 1983-Aug 1985

Corporate Author:

PRINCETON UNIV NJ INFORMATION SCIENCES AND SYSTEMS LAB

Personal Author(s):

Report Date:

1986-01-01

Pagination or Media Count:

242.0

Abstract:

This thesis deals primarily with the design and analysis of algorithms for detection of narrow-band slowly fading signals, embedded in noise of uncertain distribution. The signals phase and amplitude are random, but are random, but are essentially constant over the observation interval in addition, the Doppler frequency of the signal is unknown. This is the most common model of target echoes received by radar or sonar systems. Attention is focused on i.i.d. noise samples whose marginal distribution belongs to an epsilon-mixture family, where the scale variance of the nominal part of the distribution is also unknown. This is an important generalization of the model. The purpose of the derived detection algorithms is two-fold first, to assure constant probability of false alarm, regardless of the noise distribution DF-CFAR and second, to achieve optimal maximin probability of detection Pd performance. Keywords fading narrow-band signals, robust detection, nonparametric detection, and scale invariance.

Subject Categories:

  • Acoustic Detection and Detectors
  • Active and Passive Radar Detection and Equipment

Distribution Statement:

APPROVED FOR PUBLIC RELEASE