GM-CPHD and ML-PDA Applied to the Metron Multi-Static Sonar Dataset

Abstract

The Gaussian Mixture Cardinalized Probability Hypothesis Density (GM-CPHD) Tracker and the Maximum Likelihood-Probabilistic Data Association (ML-PDA) Tracker were applied to the Metron simulated multi-static sonar dataset created for the MSTWG (Multistatic Tracking Working Group). The large number of measurements at each scan was a problem for the GM-CPHD. Winnowing by a detection test on SNR and Doppler followed by predetection fusion (contact sifting) had to be performed before tracking with the GM-CPHD to obtain good performance. Due to the nature of its likelihood formulation, ML-PDA was able to process the measurements directly and reasonable results for all five scenarios were achieved. Plots of the tracks obtained on the five scenarios the Metron dataset with both trackers are provided.

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Document Details

Document Type
Technical Report
Publication Date
Jul 01, 2010
Accession Number
ADA530997

Entities

People

  • Peter Willett
  • Ramona Georgescu
  • Steven Schoenecker

Organizations

  • University of Connecticut

Tags

Communities of Interest

  • Sensors

DTIC Thesaurus Topics

  • Algorithms
  • Covariance
  • Detection
  • Detectors
  • False Alarms
  • Filters
  • Kalman Filters
  • Measurement
  • Multiple Hypothesis Tracking
  • Multistatic Sonar
  • Recursive Filters
  • Sonar
  • Standards
  • Target Detection
  • Target Strength
  • Targets
  • Warning Systems

Readers

  • Acoustical Oceanography.
  • Data Mining and Knowledge Discovery.
  • Radar Systems Engineering.