Bearings-only tracking using the modified gain extended Kalman filter (MGEKF) configured in Cartesian coordinate systems is reviewed. A new tracking approach is proposed which consists of a set of weighted MGEKFs each with a different initial range estimate and this is referred to as the range-parameterized (RP) tracker. This new approach overcomes the problems exhibited with existing MGEKF trackers. Results are presented for a typical tracking scenario, involving a manoeuvring observer and a constant velocity target. The results show that the RP tracker gives stable, consistent and unbiased estimates in all the cases considered. Although only constant velocity target trajectories have been considered in this paper, the RP tracker provides ...
A maximum likelihood estimation method is developed for applications to the target tracking problem ...
In this paper, we study a nonlinear bearing-only target tracking problem using four different estima...
This paper presents an extended target tracking framework which uses polynomials in order to model e...
Bearings-only tracking using the modified gain extended Kalman filter (MGEKF) configured in Cartesia...
The basic problem with angle-only or bearings-only tracking is to estimate the trajectory of a targe...
A nonlinear filter called the iterated modified gain extended Kalman filter (IMGEKF) is presented in...
One the most important problems in target tracking are state estimation. This paper deals on estimat...
In this dissertation, some important aspects of target tracking are considered. For a target moving ...
Novel auxiliary truncated unscented Kalman filtering (ATUKF) is proposed for bearings-only maneuveri...
A new mathematical model describing the motion of manned maneuvering targets is presented. This mode...
AbstractTracking problem in spherical coordinates with range rate (Doppler) measurements, which woul...
In this paper we provide a robust version of a linear Kalman filter for target tracking with nonline...
It is well known that the extended Kalman filtering methodology works well in situations characteriz...
The Kalman filter is one of the most widely used algorithms to be derived from the state variable te...
In bearings-only target tracking, the pseudo-linear Kalman filter (PLKF) attracts much attention bec...
A maximum likelihood estimation method is developed for applications to the target tracking problem ...
In this paper, we study a nonlinear bearing-only target tracking problem using four different estima...
This paper presents an extended target tracking framework which uses polynomials in order to model e...
Bearings-only tracking using the modified gain extended Kalman filter (MGEKF) configured in Cartesia...
The basic problem with angle-only or bearings-only tracking is to estimate the trajectory of a targe...
A nonlinear filter called the iterated modified gain extended Kalman filter (IMGEKF) is presented in...
One the most important problems in target tracking are state estimation. This paper deals on estimat...
In this dissertation, some important aspects of target tracking are considered. For a target moving ...
Novel auxiliary truncated unscented Kalman filtering (ATUKF) is proposed for bearings-only maneuveri...
A new mathematical model describing the motion of manned maneuvering targets is presented. This mode...
AbstractTracking problem in spherical coordinates with range rate (Doppler) measurements, which woul...
In this paper we provide a robust version of a linear Kalman filter for target tracking with nonline...
It is well known that the extended Kalman filtering methodology works well in situations characteriz...
The Kalman filter is one of the most widely used algorithms to be derived from the state variable te...
In bearings-only target tracking, the pseudo-linear Kalman filter (PLKF) attracts much attention bec...
A maximum likelihood estimation method is developed for applications to the target tracking problem ...
In this paper, we study a nonlinear bearing-only target tracking problem using four different estima...
This paper presents an extended target tracking framework which uses polynomials in order to model e...