This paper presents a maneuvering target model with the manewer dynamics modeled as a jump process of Poisson type. The jump process represents the deterministic maneuver (or pilot commands) and is described by a stochstic differential equation driven by a Poisson process taking values from a set of discrete states. Assuming that the observations are govemed by a linear difference equation driven by a white Gaussian noise sequence, we have developed a linear, recursive, unbiased minimum variance filter. The performance of the proposed filter is assessed through a numerical example via Monte-Carlo simulations.
The ightdynamicsof rigid aircraftare describedby the following set of eight rst-order differential equations taken from Ref. 10:The wind axis orientation angles ¹ and°are de ned as follows:sin°D cos ® cos¯sin µ ¡ sin¯sin Á cos µ ¡ sin ® cos¯cos Á cos µ sin ¹ cos°D sin µ cos ® sin¯C sin Á cos µ cos¡ sin ® sin¯cos Á cos µ cos ¹ cos°D sin µ sin ® C cos ® cos Á cos µ
AcknowledgmentsWe would like to acknowledge partial support for this work by a grant from the Aeronautical Development Agency, Bangalore (India), monitored by T. G. Pai and V. S. Ranganathan; computational facilities provided by Gopal Shevare at
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