Bearings-only tracking for maneuvering sources
نویسندگان
چکیده
منابع مشابه
An Adaptive Tracking Algorithm for Bearings-only Maneuvering Target
To improve the tracking performance of bearings-only maneuvering target, a dynamic and adaptive multiple models (MM) algorithm is proposed in this paper, i.e., the acceleration value of each sub-model of MM structure is adjusted dynamically, unlike the traditional MM method with fixed acceleration levels, by an economic on-line self-constructing neural fuzzy inference network (SONFIN) according...
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Novel auxiliary truncated unscented Kalman filtering (ATUKF) is proposed for bearings-only maneuvering target tracking in this paper. In the proposed algorithm, to deal with arbitrary changes in motion models, a modified prior probability density function (PDF) is derived based on some auxiliary target characteristics and current measurements. Then, the modified prior PDF is approximated as a G...
متن کاملOptimal Observer Path Planning For Bearings-Only Moving Targets Tracking Using Chebyshev Polynomials
In this paper, an optimization problem for the observer trajectory in the bearings-only surface moving target tracking (BOT) is studied. The BOT depends directly on the observability of the target's position in the target/observer geometry or the optimal observer maneuver. Therefore, the maximum lower band of the Fisher information matrix is opted as an independent criterion of the target estim...
متن کاملBearings-Only Tracking in the Plane
It is known that the conditional probability density function for the general filtering problem can be represented as a path integral. This representation is the basis of a new finite dimensional recursive filter which is applied to bearings only tracking. The filter computes an approximation to the density for the target position conditional on the measurements. The approximation is accurate p...
متن کاملOptimal Sensor Trajectories in Bearings-Only Tracking
We consider the problem of determining sensor trajectories in the bearings-only tracking of an uncertain target. This work differs from previous research in that we allow the target dynamics to be both uncertain and random; and also consider multi-sensor scenarios. The basis of our technique is to control a measure of estimation error based on the Posterior Cramér-Rao lower bound (PCRLB), and w...
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ژورنال
عنوان ژورنال: IEEE Transactions on Aerospace and Electronic Systems
سال: 1998
ISSN: 0018-9251
DOI: 10.1109/7.640276