Emitter Number Estimation by the General Information Theoretic Criterion from Pulse Trains

Abstract

In this report, an information theoretic criterion based approach for estimating the number of emitters from a set of interleaved pulse trains is proposed. In the approach, a new pulse signal model is formulated to handle large numbers of pulses. The approach is based on the application of the general information criterion (GIC) and has the advantage of not requiring any threshold setting procedures. Compared to the classical information theoretic criterion based approaches, the general information theoretic criteria based approach is more versatile and does not involve any computationally sophisticated maximum likelihood estimator. Computer simulations are used to demonstrate the effectiveness of the proposed approach.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 2002
Accession Number
ADA640232

Entities

People

  • Yifeng Zhou

Organizations

  • Defence Research and Development Canada

Tags

Communities of Interest

  • Electronic Warfare
  • Energy and Power Technologies
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Abstracts
  • Algorithms
  • Classification
  • Computational Science
  • Computer Simulations
  • Computers
  • Detection
  • Electronic Intelligence
  • Electronic Warfare
  • Estimators
  • Information Science
  • National Security
  • Neural Networks
  • Security
  • Signal Processing
  • Simulations
  • Statistical Algorithms

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  • Electrical Engineering
  • Neural Network Machine Learning.
  • Systems Analysis and Design