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21 September 2007Simulation assessment of RCS-aided multiple target tracking
Closely-spaced (but resolved) targets pose a significant challenge for single-frame unique measurement-to-track
data association algorithms. This is due to the similarity of the Mahalanobis distances between the closely-spaced
measurements and tracks. Contrary to conventional wisdom, adding target feature information (e.g.,
target amplitude) does not necessarily improve the probability of correctly assigning measurements to tracks.
In this paper, the theoretical limitations of using radar cross section (RCS) data to aid in measurement-totrack
association are reviewed. The results of a high-fidelity simulation assessment of the benefits of RCSaided
measurement-to-track association (using the Signal-to-Noise Ratio) are given and other possibilities for
RCS-aided tracking are discussed. Namely, we show the analytical results of our investigation into using RCS
information to determine the presence of merged measurements.
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Darin T. Dunham, Lisa M. Ehrman, W. Dale Blair, Susan A. Frost, "Simulation assessment of RCS-aided multiple target tracking," Proc. SPIE 6699, Signal and Data Processing of Small Targets 2007, 66991D (21 September 2007); https://doi.org/10.1117/12.740892