Target Tracking in Heavy-Tailed Clutter Using Amplitude Information

Abstract

Harbor surveillance above and below the sea surface depends on sensors such as surveillance radar and multibeam sonar. These sensors attempt to detect and track moderately observable targets such as small boats or human divers in environments which often are characterized by heavy-tailed backgrounds. Target tracking in heavy-tailed environments is challenging even for moderately strong targets due to the more frequent occurrences of target-like outliers. One strategy for increased robustness is to use the backscattered signal strengths together with the kinematic measurements in the tracking method. This paper proposes two new amplitude likelihoods for target tracking in heavytailed backgrounds. The first likelihood works by incorporating the uncertainty of the background estimate. The second likelihood explicitly treats the background as heavytailed using the K-distribution.

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Document Details

Document Type
Technical Report
Publication Date
Jul 01, 2009
Accession Number
ADA533279

Entities

People

  • Edmund F. Brekke
  • John H. Glattetre
  • Oddvar Hallingstad

Tags

Communities of Interest

  • Energy and Power Technologies
  • Sensors

DTIC Thesaurus Topics

  • Algorithms
  • Amplitude
  • Cartesian Coordinates
  • Data Analysis
  • Data Association
  • Detection
  • Detectors
  • Estimators
  • False Alarms
  • Fungi
  • Grids
  • Measurement
  • Probability
  • Random Variables
  • Target Tracking
  • Uncertainty
  • Warning Systems

Readers

  • Acoustical Oceanography.
  • Regression Analysis.
  • Sensor Fusion and Tracking Systems.