Interacting multiple bias model filter system for tracking maneu

Communications: directive radio wave systems and devices (e.g. – Return signal controls radar system – Receiver

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342 96, 342101, 342195, G01S 1366

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active

053250982

ABSTRACT:
A filtering system used in the tracking of a maneuvering target is provid A first filter estimates a partial system state at a time k in terms of target position measurements. A plurality of second filters are each provided with an acceleration model hypothesis from a prior time (k-1) free of position and velocity constraints. Each second filter generates an acceleration estimate at time k and a likelihood at time k that the acceleration model hypothesis is correct. The likelihoods from the second filters are summed to generate a probability vector at time k. A third interaction mixing filter generates the acceleration model hypotheses from prior time (k-1) using the probability vector from prior time (k-1) and the acceleration estimates from prior time (k-1). The third filter also provides an error covariance to the first filter to reflect the uncertainty in the acceleration model hypotheses from prior time (k-1). A probabilistic acceleration estimate for time k is formed as a sum of each of the acceleration estimates associated with each of the acceleration model hypotheses multiplied by a corresponding probability from the probability vector. The partial system state estimate and the probabilistic acceleration estimate are summed to generate a complete system state estimate at time k in terms of position, velocity and acceleration of the maneuvering target.

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