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Proceedings Paper

Data modeling for nonlinear track prediction of targets through obscurations
Author(s): Holger Jaenisch; James Handley
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Paper Abstract

A novel algorithm for predicting target tracks through obscurations is introduced. This prediction method uses radar ground track indicators and the hidden transfer function (HTF) to predict future target locations. The HTF method is described in detail, and results provided that quantify track accuracy, forecast accuracy, and the percentage of tracks exiting an obscuration occurring that occur within the forecasted region. Five different classifier methods are shown for labeling short segments of track history. Each classifier method is scored and significance testing used to determine that the Data Model and SMART lookup table (LUT) were significantly better than the other classifier approaches.

Paper Details

Date Published: 15 May 2012
PDF: 23 pages
Proc. SPIE 8393, Signal and Data Processing of Small Targets 2012, 83930P (15 May 2012); doi: 10.1117/12.914845
Show Author Affiliations
Holger Jaenisch, Johns Hopkins Univ. (United States)
Licht Strahl Engineering Inc. (United States)
James Handley, Licht Strahl Engineering Inc. (United States)


Published in SPIE Proceedings Vol. 8393:
Signal and Data Processing of Small Targets 2012
Oliver E. Drummond; Richard D. Teichgraeber, Editor(s)

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