Accession Number:

ADA285589

Title:

Detection Performance of Generalized Likelihood Ratio Processors for Random Signals of Unknown Location, Structure, Extent, and Strength

Descriptive Note:

Progress rept.

Corporate Author:

NAVAL UNDERSEA WARFARE CENTER NEWPORT DIV NEW LONDON CT NEW LONDON DETACHMENT

Personal Author(s):

Report Date:

1994-08-25

Pagination or Media Count:

163.0

Abstract:

A signal if present is located somewhere in a band of frequencies characterized by a total of N search bins. The signal occupies an arbitrary set of M of these bins, where not only is M unknown, but also, the locations of the particular M occupied bins are unknown. Also, the signal strength is unknown. The generalized likelihood ratio GLR method furnishes an approach for estimating all the unknown parameters and for testing for presence or absence of the signal in an observation of the outputs of the N search bins. However, there is nothing guaranteed optimum about the GLR approach. Also, the optimum likelihood ratio processor cannot be constructed or realized, due to all the unknowns and the voluminous amount of searching required for this scenario. These deleterious conditions force adoption of some suboptimum processing techniques, guided by the GLR and likelihood ratio results. Detection, Likelihood ratio, Generalized Likelihood, Unknown Location, Unknown structure, Unknown Extent, Unknown strength, Maximum likelihood, False alarm probability, Detection probability, Order statistics, Characteristic function, Simulation.

Subject Categories:

  • Statistics and Probability
  • Radiofrequency Wave Propagation

Distribution Statement:

APPROVED FOR PUBLIC RELEASE