Although simple to implement, a bearing-only tracker using an extended Kalman filter mounted on a stationary sensor platform has not proven serviceable. This paper provides a fixed-base, image-enhanced, recursive filter that performs well against a maneuvering target. Tight cover intervals are generated and compared with a well-known upper bound
In this paper, a fixed-lag and a fixed-interval Gaussian-sum cubature Kalman smoother are proposed f...
It is well known that the extended Kalman filtering methodology works well in situations characteriz...
Tracking 19 ABSTRACT (Continue on reverse if necessary and identify by block number)he use of Kalman...
In this paper, we study a nonlinear bearing-only target tracking problem using four different estima...
The basic problem with angle-only or bearings-only tracking is to estimate the trajectory of a targe...
Bearings-only tracking using the modified gain extended Kalman filter (MGEKF) configured in Cartesia...
One the most important problems in target tracking are state estimation. This paper deals on estimat...
Abstract — The problem of single-sensor bearings-only tracking continues to present challenges to tr...
Kalman filtering techniques are applied to a two sensor bearings only passive target motion analysis...
This letter presents a Gaussian-sum cubature Kalman filter with improved robustness compared to the ...
In bearings-only target tracking, the pseudo-linear Kalman filter (PLKF) attracts much attention bec...
Novel auxiliary truncated unscented Kalman filtering (ATUKF) is proposed for bearings-only maneuveri...
This paper presents a new approach for single sensor tracking using passive bearings only measuremen...
Bearings-only tracking using the modified gain extended Kalman filter (MGEKF) configured in Cartesia...
The Kalman filter is one of the most widely used algorithms to be derived from the state variable te...
In this paper, a fixed-lag and a fixed-interval Gaussian-sum cubature Kalman smoother are proposed f...
It is well known that the extended Kalman filtering methodology works well in situations characteriz...
Tracking 19 ABSTRACT (Continue on reverse if necessary and identify by block number)he use of Kalman...
In this paper, we study a nonlinear bearing-only target tracking problem using four different estima...
The basic problem with angle-only or bearings-only tracking is to estimate the trajectory of a targe...
Bearings-only tracking using the modified gain extended Kalman filter (MGEKF) configured in Cartesia...
One the most important problems in target tracking are state estimation. This paper deals on estimat...
Abstract — The problem of single-sensor bearings-only tracking continues to present challenges to tr...
Kalman filtering techniques are applied to a two sensor bearings only passive target motion analysis...
This letter presents a Gaussian-sum cubature Kalman filter with improved robustness compared to the ...
In bearings-only target tracking, the pseudo-linear Kalman filter (PLKF) attracts much attention bec...
Novel auxiliary truncated unscented Kalman filtering (ATUKF) is proposed for bearings-only maneuveri...
This paper presents a new approach for single sensor tracking using passive bearings only measuremen...
Bearings-only tracking using the modified gain extended Kalman filter (MGEKF) configured in Cartesia...
The Kalman filter is one of the most widely used algorithms to be derived from the state variable te...
In this paper, a fixed-lag and a fixed-interval Gaussian-sum cubature Kalman smoother are proposed f...
It is well known that the extended Kalman filtering methodology works well in situations characteriz...
Tracking 19 ABSTRACT (Continue on reverse if necessary and identify by block number)he use of Kalman...
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