Frequency Tracking with the Histogram-PMHT Algorithm

Abstract

Tracking an unknown, nonstationary signal in time and frequency against a noisy, nonstationary background on an intensity-modulated sensor display is a difficult problem. Traditional techniques involve thresholding the sensor data and treating the exceedences as point measurements that are subsequently fed to a tracking algorithm. Choosing this threshold is a challenge in itself, and even then it is typically subject to a prescribed probability of detection and probability of false alarm. In reference 1, Streit derives a new tracking algorithm that uses all of the senor data, and thus avoids thresholding entirely. The fundamental premise of this tracking algorithm is that losses due to thresholding the sensor data can be eliminated completely if all of the sensor data are used by the tracking algorithm.

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Document Details

Document Type
Technical Report
Publication Date
Jun 15, 2000
Accession Number
ADA640572

Entities

People

  • Michael J. Walsh

Organizations

  • Naval Undersea Warfare Center

Tags

Communities of Interest

  • Materials and Manufacturing Processes
  • Sensors

DTIC Thesaurus Topics

  • Algorithms
  • Background Noise
  • Cell Count
  • Computational Science
  • Data Science
  • Detectors
  • Frequency
  • Gaussian Noise
  • Histograms
  • Information Science
  • Measurement
  • Probability
  • Probability Density Functions
  • Random Variables
  • Statistical Algorithms
  • Statistical Analysis
  • Stochastic Processes

Readers

  • Computer Science/Computer Engineering/Data Science/Digital Signal Processing.
  • Sensor Fusion and Tracking Systems.
  • Statistical inference.