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Tracking initially unresolved thrusting objects in 3D using a single stationary optical sensor
Author(s): Qin Lu; Yaakov Bar-Shalom; Peter Willett; Karl Granström; R. Ben-Dov; B. Milgrom
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Paper Abstract

This paper considers the problem of estimating the 3D states of a salvo of thrusting/ballistic endo-atmospheric objects using 2D Cartesian measurements from the focal plane array (FPA) of a single fixed optical sensor. Since the initial separations in the FPA are smaller than the resolution of the sensor, this results in merged measurements in the FPA, compounding the usual false-alarm and missed-detection uncertainty. We present a two-step methodology. First, we assume a Wiener process acceleration (WPA) model for the motion of the images of the projectiles in the optical sensor’s FPA. We model the merged measurements with increased variance, and thence employ a multi-Bernoulli (MB) filter using the 2D measurements in the FPA. Second, using the set of associated measurements for each confirmed MB track, we formulate a parameter estimation problem, whose maximum likelihood estimate can be obtained via numerical search and can be used for impact point prediction. Simulation results illustrate the performance of the proposed method.

Paper Details

Date Published: 2 May 2017
PDF: 18 pages
Proc. SPIE 10200, Signal Processing, Sensor/Information Fusion, and Target Recognition XXVI, 1020002 (2 May 2017); doi: 10.1117/12.2262832
Show Author Affiliations
Qin Lu, Univ. of Connecticut (United States)
Yaakov Bar-Shalom, Univ. of Connecticut (United States)
Peter Willett, Univ. of Connecticut (United States)
Karl Granström, Chalmers Univ. of Technology (Sweden)
R. Ben-Dov, Univ. of Connecticut (United States)
B. Milgrom, Univ. of Connecticut (United States)


Published in SPIE Proceedings Vol. 10200:
Signal Processing, Sensor/Information Fusion, and Target Recognition XXVI
Ivan Kadar, Editor(s)

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