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In this paper, to overcome the limitation of the real-time state tracking of PLE, an algorithm is presented that recursively computers the maximum likehood (ML) estimates of a flying object position and velocity. By combining a priori ML estimate of the flying object state vector and its error covariance matrix with bearing measurements, updated estimates are obtained, localization and tracking for...
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