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Proceedings Paper

Multitarget tracking on intensity-modulated sensor data
Author(s): Roy L. Streit; Marcus L. Graham; Michael J. Walsh
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Paper Abstract

Tracking energy on an intensity-modulated sensor output typically requires windowing, thresholding, and/or interpolation to arrive at point measurements to feed the tracking algorithm. Conventional trackers are point trackers, and point measurement estimation procedures pose problems for tracking signal energy that is distributed across many sensor cells. Such signals are sometimes termed over-resolved. Large arrays provide greater resolution with the potential for improved detection and classification performance, but higher resolution is in direct conflict with tracking over-resolved signals. The Histogram-Probabilistic Multi-Hypothesis Tracker (H-PMHT) algorithm addresses these issues and provides a means for modeling and tracking signals that are spread across several contiguous sensor cells. H-PMHT models the cell responses as a received energy histogram, and the probability density underlying this histogram is modeled by a mixture density. Elements of the H-PMHT signal model, theory, and algorithm are presented for linear Gauss-Markov targets. Tracking examples using simulated azimuth beam data are presented.

Paper Details

Date Published: 16 August 2001
PDF: 10 pages
Proc. SPIE 4380, Signal Processing, Sensor Fusion, and Target Recognition X, (16 August 2001); doi: 10.1117/12.436985
Show Author Affiliations
Roy L. Streit, Naval Undersea Warfare Ctr. (United States)
Marcus L. Graham, Naval Undersea Warfare Ctr. (United States)
Michael J. Walsh, Naval Undersea Warfare Ctr. (United States)

Published in SPIE Proceedings Vol. 4380:
Signal Processing, Sensor Fusion, and Target Recognition X
Ivan Kadar, Editor(s)

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