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Tracking multiple targets (such as Airplanes, satellites or people) using a batch of measurements from a sensor (such as camera or radar) is challenging when we do not know which measurement corresponds to which target. We develop and illustrate a data association filter for tracking satellites in the presence of noise and/or random clutter.

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This page is a summary of: Quadrature-Based Nonlinear Joint Probabilistic Data Association Filter, Journal of Guidance Control and Dynamics, November 2019, American Institute of Aeronautics and Astronautics (AIAA),
DOI: 10.2514/1.g004313.
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