Maximum Likelihood Estimation Applied to Target Motion Analysis Using Second Order Derivatives,

Abstract

The tracking problem of unknown marine platforms using passive sonar measurements is generally referred to as Target Motion Analysis (TMA). This report describes the application of a Maximum Likelihood Estimation (MLE) method to obtain position and velocity estimates of a platform when bearing angle and frequency measurements are available from a passive sonar system. The frequency measurements are related to one or more cardinal frequency peaks from the radiated frequency spectrum by the platform. The MLE method offers the opportunity to use a multi-leg model, i.e. the platform to be localized is assumed to move according to a piecewise linear track, where each part is referred to as a leg. On each leg constant course and speed is assumed. Additionally, bearing and frequency measurements related to bottom reflections of the acoustical signals can be used.

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Document Details

Document Type
Technical Report
Publication Date
Apr 01, 1991
Accession Number
ADA236407

Entities

People

  • J. H. De Vlieger

Organizations

  • Netherlands Organisation for Applied Scientific Research

Tags

Communities of Interest

  • Ground and Sea Platforms
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Bottom Bounce
  • Cartesian Coordinates
  • Computational Science
  • Computations
  • Data Science
  • Detection
  • Distribution Functions
  • Filters
  • Information Science
  • Kalman Filters
  • Mathematical Filters
  • Maximum Likelihood Estimation
  • Monte Carlo Method
  • Passive Sonar
  • Physics
  • Probability
  • Statistical Algorithms

Fields of Study

  • Engineering

Readers

  • Acoustical Oceanography.
  • Control Systems Engineering.
  • Strategic Security Studies