This letter presents a Gaussian-sum cubature Kalman filter with improved robustness compared to the original algorithm proposed by the authors in , which demonstrated excellent accuracy and efficiency for the bearings-only tracking problem. Modification
Although simple to implement, a bearing-only tracker using an extended Kalman filter mounted on a st...
In this paper, we study a nonlinear bearing-only target tracking problem using four different estima...
A novel spherical simplex Gauss–Laguerre quadrature cubature Kalman filter is proposed to improve th...
Herein is presented an efficient nonlinear filtering algorithm called the Gaussian-sum cubature Kalm...
In this paper, a fixed-lag and a fixed-interval Gaussian-sum cubature Kalman smoother are proposed f...
a b s t r a c t The cubature Kalman filter (CKF) is a relatively new addition to derivative-free app...
Passive tracking techniques for non-cooperative space target have great significance in space survei...
A novel fifth-degree strong tracking cubature Kalman filter is put forward to improve the two-dimens...
Bearings-only tracking only adopts measurements from angle sensors to realize target tracking, thus,...
In this paper, an improved nonlinear Gaussian mixture probability hypothesis density (GM-PHD) filter...
In a recent paper [1], we derived a new discrete-time Bayesian filter, which we have named the cubat...
The cubature Kalman filter (CKF) is widely used in the application of GPS/INS integrated navigation ...
The Kalman filter is the general solution to the recursive, minimised mean square estimation problem...
The paper deals with state estimation problem of nonlinear non-Gaussian discrete dynamic systems for...
AbstractThe paper deals with state estimation problem of nonlinear non-Gaussian discrete dynamic sys...
Although simple to implement, a bearing-only tracker using an extended Kalman filter mounted on a st...
In this paper, we study a nonlinear bearing-only target tracking problem using four different estima...
A novel spherical simplex Gauss–Laguerre quadrature cubature Kalman filter is proposed to improve th...
Herein is presented an efficient nonlinear filtering algorithm called the Gaussian-sum cubature Kalm...
In this paper, a fixed-lag and a fixed-interval Gaussian-sum cubature Kalman smoother are proposed f...
a b s t r a c t The cubature Kalman filter (CKF) is a relatively new addition to derivative-free app...
Passive tracking techniques for non-cooperative space target have great significance in space survei...
A novel fifth-degree strong tracking cubature Kalman filter is put forward to improve the two-dimens...
Bearings-only tracking only adopts measurements from angle sensors to realize target tracking, thus,...
In this paper, an improved nonlinear Gaussian mixture probability hypothesis density (GM-PHD) filter...
In a recent paper [1], we derived a new discrete-time Bayesian filter, which we have named the cubat...
The cubature Kalman filter (CKF) is widely used in the application of GPS/INS integrated navigation ...
The Kalman filter is the general solution to the recursive, minimised mean square estimation problem...
The paper deals with state estimation problem of nonlinear non-Gaussian discrete dynamic systems for...
AbstractThe paper deals with state estimation problem of nonlinear non-Gaussian discrete dynamic sys...
Although simple to implement, a bearing-only tracker using an extended Kalman filter mounted on a st...
In this paper, we study a nonlinear bearing-only target tracking problem using four different estima...
A novel spherical simplex Gauss–Laguerre quadrature cubature Kalman filter is proposed to improve th...