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Maximum likelihood detection of unresolved moving targets

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1 Author(s)
J. N. Sanders-Reed ; SVS R&D Syst. Inc., Cedar Crest, NM, USA

Maximum likelihood estimation and decision theory is applied to the problem of detecting unresolved moving targets with a particular emphasis on space surveillance applications. A general formulation is derived which accounts for fluctuating targets, extended optical point spread functions (PSFs), and long frame integration times such that target images can form streaks within a single image. Probability of false alarm and of detection curves are generated from field data and simulations and compared with theoretical predictions

Published in:

IEEE Transactions on Aerospace and Electronic Systems  (Volume:34 ,  Issue: 3 )