MAXIMUM LIKELIHOOD ESTIMATION OF PARAMETER CHANGES IN NOISY SIGNALS,

Abstract

In the detection and tracking of space vehicles, quite often important information is directly associated with changes occurring in the parameters of signals received from the target. The problem then becomes one of constructing an optimal receiver for the extraction of the properties of these likelihood principles for estimating the time of occurence of parameter changes; i.e., the time at which a sagnal of one parameter changes to a signal of another parameter, when imbedded in noise. The primary assumption is that the signals and/or the parameters are known a priori. (Author)

Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1964
Accession Number
AD0436108

Entities

People

  • Robert M. Gagliardi

Organizations

  • University of Southern California

Tags

DTIC Thesaurus Topics

  • Detection
  • Extraction
  • Mathematical Analysis
  • Mathematics
  • Maximum Likelihood Estimation
  • Spacecraft
  • Vehicles

Fields of Study

  • Engineering

Readers

  • Radar Systems Engineering.
  • Systems Analysis and Design

Technology Areas

  • Space