15 May 2012 Data modeling for nonlinear track prediction of targets through obscurations
Author Affiliations +
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.
© (2012) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Holger Jaenisch, Holger Jaenisch, James Handley, James Handley, } "Data modeling for nonlinear track prediction of targets through obscurations", Proc. SPIE 8393, Signal and Data Processing of Small Targets 2012, 83930P (15 May 2012); doi: 10.1117/12.914845; https://doi.org/10.1117/12.914845

Back to Top