Signal Estimation, Multitarget Tracking and Related Areas

Abstract

This research addresses the problem of efficiently estimating target positions almost continuously in time and establishing correct associations between the estimates of target positions made at different points in time. A complete package was developed for angles-only tracking using sensor array data, which can be implemented in real-time without unduly heavy computations. The method is quite general in nature and can be extended to tracking targets in terms of positional coordinates. The authors also developed a unified theory of robust estimation with minimal assumptions, and investigated problems in probability theory, nonlinear time series, bootstrap methodology, and shape analysis, all of which are useful in signal estimation and imaging. A new line of research was initiated in the use of differential geometric methods in statistical inference.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Aug 01, 1992
Accession Number
ADA260523

Entities

People

  • Calyampudi Radhakrishna Rao

Organizations

  • Pennsylvania State University

Tags

Communities of Interest

  • Biomedical
  • Materials and Manufacturing Processes
  • Sensors

DTIC Thesaurus Topics

  • Computational Science
  • Computations
  • Data Science
  • Estimators
  • Information Processing
  • Information Science
  • Mathematical Filters
  • Multitarget Tracking
  • Multivariate Analysis
  • Probability
  • Random Variables
  • Statistical Algorithms
  • Statistical Analysis
  • Statistical Estimation
  • Statistical Inference
  • Statistics
  • Surveys

Readers

  • Calculus or Mathematical Analysis
  • Regression Analysis.
  • Sensor Fusion and Tracking Systems.

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference