Signal threshold estimation in a sensor field for undersea target tracking

  • Authors:

  • Kushal Mukherjee;Asok Ray;Thomas Wettergren;Ishanu Chattopadhyay;Shashi Phoha

  • Affiliations:

  • The Pennsylvania State University, University Park, PA;The Pennsylvania State University, University Park, PA;Naval Undersea Warfare Center, Newport, RI;The Pennsylvania State University, University Park, PA;The Pennsylvania State University, University Park, PA

  • Venue:
  • ACC'09 Proceedings of the 2009 conference on American Control Conference
  • Year:
  • 2009

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Abstract

This paper addresses the problem of online surveillance of undersea targets moving over a deployed sensor field. A real-time algorithm has been formulated to estimate the detection threshold based on the ensemble of sensor time series data collected from the track of a moving target. The probabilistic-state-machine-based algorithm is optimal in the sense of weighted linear least squares. The algorithm has been tested with sensor data from several tracks on a simulation test bed.