Tracking a ballistic object on reentry: performance bounds and comparison of nonlinear filters

Ristić, Branko; Farina, A.; Benvenuti, Dario

doi:10.1109/idc.2002.995408

Cited by 2 publications

(2 citation statements)

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“…The optimal estimator for this problem cannot be built and one has to use approximate filters as those described in [ 13 and [2]. The CRLB, which defines the best achievable performance, plays an important role in algorithm evaluation and assessment of the level of approximation introduced in the filtering algorithms.…”

Section: Crlb For Non Linear Dynamic Modelmentioning

confidence: 99%

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Estimation accuracy of a landing point of a ballistic target

Farina

Benvenuti

Ristić

Proceedings of the Fifth International Conference on Information Fusion. FUSION 2002. (IEEE Cat.No.02EX5997)

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This paper studies the problem of tracking a re-entry ballistic object by means of radar measurements. Practical applications are in the fields of surveillance for defense and for safety against the re-entry of old satellites. In particular, the investigation determines the estimation accuracy of the impact point of a ballistic target by processing radar measurements during the re-entry phase of the target. In practice, the radar measurements are available only for a limited part of the re-entry trajectory; while it is of interest to estimate the target landing point and its accuracy. This problem is tackled via non linear jiltering technique and by resorting to the theory of Cramer-Rao lower bound (CRLB) recently developed for such filters.

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Section: Crlb For Non Linear Dynamic Modelmentioning

confidence: 99%

“…The target model in the re-entry phase is characterized by a non linear stochastic difference equation which accounts for the gravity and the drag forces [l], [2]. This equation gives the time evolution of the target state vector which contains the Cartesian components of the position and velocity of the target.…”

Section: Problem Statementmentioning

confidence: 99%