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Yaakov Bar-Shalom
Researcher at University of Connecticut
Publications - 670
Citations - 49523
Yaakov Bar-Shalom is an academic researcher from University of Connecticut. The author has contributed to research in topics: Estimator & Kalman filter. The author has an hindex of 83, co-authored 649 publications receiving 46832 citations. Previous affiliations of Yaakov Bar-Shalom include Raytheon Integrated Defense Systems & Princeton University.
Papers
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Journal ArticleDOI
Paper: Dual control guidance for simultaneous identification and interception
K. Birmiwal,Yaakov Bar-Shalom +1 more
TL;DR: An adaptive dual control guidance algorithm is presented for intercepting a moving target in the presence of an interfering target (decoy) in a stochastic environment and approximate prior probability densities are obtained and used to describe the future learning and control.
Proceedings ArticleDOI
Optimal removal of out-of-sequence measurements from tracks using the IF-equivalent measurement
Shuo Zhang,Yaakov Bar-Shalom +1 more
TL;DR: The optimal solution to the problem of removing earlier measurements from tracks is presented and when the measurement to be removed is (nearly) an outlier, the optimal removal yields significantly better results than the one-step algorithm.
Journal ArticleDOI
CRLB for Estimating Time-Varying Rotational Biases in Passive Sensors
TL;DR: The means for and necessity of estimating bias rates of change in addition to constant sensor biases to reduce the errors in the state estimates are investigated.
Journal ArticleDOI
Tracking Initially Unresolved Thrusting Objects Using an Optical Sensor
TL;DR: This paper considers the problem of estimating the three-dimensional states of a salvo of thrusting/ballistic endo-atmospheric objects using two-dimensional Cartesian measurements from the focal plane array (FPA) of a single fixed optical sensor, and proposes a two-step methodology that can be used for impact point prediction.
Journal ArticleDOI
A Stabilizing Controller for Jump Linear Gaussian Systems with Noisy State Observations
Guolin Pan,Yaakov Bar-Shalom +1 more
TL;DR: This work extends the result to the case that not only the modes are not observed but also the base state is partially measured through a noisy channel and shows that the stabilizing controller possesses a desirable robustness property with respect to the mode probability transition matrix and the system dynamic model.