Precision target tracking for small extended objects

Yaakov Bar‐Shalom, Hemchandra Madhusudan Shertukde, Krishna Rao Pattipati · Optical Engineering · 1990

We present a methodology for tracking the centroid of small extended objects using measurements from a forward looking infrared imaging sensor. The statistical characterization of the centroid of a frame as a noisy linear measurement of the centroid of the target is obtained. The offset measurement noise is shown to be autocorrelated. State vanable models and the corresponding filters for tracking the target centroid with these measurements are presented. Their performances are compared, and it is verified with simulations that the filter that models the autocorrelated measurement noise provides the best performance.

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