Integrated Radar Imaging, Target Tracking and Sensor Scheduling

Abstract

This project had a start date of 15 May 2004 and an end date of 15 May 2006. During this time, we made good progress toward our goals in radar imaging, distributed detection, and sensor scheduling for target tracking. In the area of radar imaging, we have established a duality between radar imaging and time-varying spectrum analysis that is bringing insight into waveform design. For distributed detection we have proved an information-theoretic theorem that establishes the rate at which the ROC curve of a dense sensor network of one-bit sensors converges to the point where the probability of false alarm Pf is 0 and the portability of detection Pd is 1.

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Document Details

Document Type
Technical Report
Publication Date
May 15, 2006
Accession Number
ADA448056

Entities

People

  • Edwin Chong
  • Louis L. Louis L. Scharf

Organizations

  • Colorado State University

Tags

Communities of Interest

  • Materials and Manufacturing Processes
  • Sensors

DTIC Thesaurus Topics

  • Detection
  • Detectors
  • Engineering
  • Information Science
  • Monte Carlo Method
  • Multitarget Tracking
  • Networks
  • Probability
  • Radar
  • Radar Imaging
  • Scheduling (Production)
  • Sensor Networks
  • Sequential Monte Carlo Methods
  • Signal Processing
  • Spectrum Analysis
  • Target Tracking
  • Waveforms

Readers

  • Distributed Systems and Data Platform Development
  • Operations Research
  • Radar Systems Engineering.

Technology Areas

  • AI & ML
  • AI & ML - Machine Learning Algorithms