Estimate-Merge-Technique-based algorithms to track an underwater moving target using towed array bearing-only measurements
Bearing-only passive target tracking is a well-known underwater defence issue dealt in the
recent past with the conventional nonlinear estimators like extended Kalman filter (EKF) and …
recent past with the conventional nonlinear estimators like extended Kalman filter (EKF) and …
Bearings-only tracking of non-maneuvering target with missing bearings data
In this paper we consider the tracking of a non-maneuvering target using only passively
recorded noise corrupted bearings data, in which some of the bearings data may be missing …
recorded noise corrupted bearings data, in which some of the bearings data may be missing …
A novel stochastic estimator using pre-processing technique for long range target tracking in heavy noise environment
A novel stochastic algorithm using pre-processing technique is proposed in this paper to
deal with the problem of underwater target tracking using passive Sonar. Pre-processing is a …
deal with the problem of underwater target tracking using passive Sonar. Pre-processing is a …
Underwater bearings-only passive target tracking using estimate fusion technique
Estimate Fusion Technique (EFT) for Bearings–Only passive target tracking involves a
process of estimating the state of a moving target by fusing the estimates given by different …
process of estimating the state of a moving target by fusing the estimates given by different …
[PDF][PDF] AN EXTENDED AND UNSCENTED KALMAN FILTERS SIMULATION AND DESIGN FOR A MOBILE ROBOT
This research analyzes the design and simulation of a mobile robot using an Extended
Kalman Filter (EKF) and an Unscented Kalman filter (UKF). The mobile platform has a …
Kalman Filter (EKF) and an Unscented Kalman filter (UKF). The mobile platform has a …