2010
DOI: 10.1117/12.851393
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A survey of maneuvering target tracking-part VIa: density-based exact nonlinear filtering

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Cited by 15 publications
(7 citation statements)
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“…The exact Bayesian recursive filter (BRF) provides the posterior density p(x k |z k ) via the following predictionupdate scheme [10]:…”
Section: A Generic Pfmentioning
confidence: 99%
“…The exact Bayesian recursive filter (BRF) provides the posterior density p(x k |z k ) via the following predictionupdate scheme [10]:…”
Section: A Generic Pfmentioning
confidence: 99%
“…For more complicated dynamic estimation, [184][185][186][187] give an overview of recent research. For basic civilian air traffic control (ATC) problems, possible models might be nearly constant velocity motion for nonmaneuvering targets, as well as a coordinated turn model.…”
Section: Crousementioning
confidence: 99%
“…To summarize, Eqs ( 27) and ( 30), along with the Kalman gain definition (26), are the Kalman filter update equations that utilize the latest observation to update the predictive estimates given by Eqs ( 16) and (18). However, examination of these equations shows the need for the computation of additional predictive density-weighted integrals for z n|n−1 , P zz n|n−1 and P xz n|n−1 .…”
Section: Recursive Bayesian Estimation Of Conditional Momentsmentioning
confidence: 99%
“…It is for this reason that many maneuvering target tracking methods can use an LKF or EKF, with a modified Q to account for the non-Gaussian nature of maneuvering target kinematics. An examination of the many maneuvering target models is beyond the scope of this paper, so the interested reader is referred to the series of papers by Li and Jilkov [13][14][15][16][17][18][19] .…”
Section: A Comment On the Lkf And Ekfmentioning
confidence: 99%