Add to ORKGPrepared for: Naval Torpedo Station Keyport, Washington 98345A simulation of a target being tracked by several sensors with imperfectly known locations. The Kalman Filter includes sensor locations in the state vector, so that estimates of sensor location gradually improve with time.Approved for public release; distribution is unlimited
Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 2007.Includes...
Student Thesis (NPS NRP Project Related)Accurate tracks and targeting are key to providing decision-...
Two separate sensing arrays track the same underwater vehicle. The two versions of track are differe...
A sequential Extended Kalman filter routine was developed to * provide real time estimates of torped...
In range-based underwater tracking, the accuracy of the calculated slant range depends largely on th...
The University of Idaho (UI), partnered with the Office of Naval Research (ONR), is developing the c...
In the ocean environment, two dimensional Range & Bearings target motion analysis (TMA) is gener...
Due to the lack of underwater navigation aids, a system capable of helping a submersible vehicle mai...
Computer ScienceThe Phoenix Autonomous Underwater Vehicle must be able to accurately determine its p...
Abstract: This work follows previous works on tracking of targets on Forward Looking Sonar images. A...
   The performance evaluation of various passive underwater target tracking algorithms like Pseu...
The Kalman filter is one of the most widely used algorithms to be derived from the state variable te...
Underwater navigation faces many problems with accurately estimating the absolute positionof an unde...
In under water an observer pre-processes the noisy bearing measurements available from passive sonar...
The present paper explores the use of Gaussian processunscented Kalman filter (GP-UKF) algorithm for...
Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 2007.Includes...
Student Thesis (NPS NRP Project Related)Accurate tracks and targeting are key to providing decision-...
Two separate sensing arrays track the same underwater vehicle. The two versions of track are differe...
A sequential Extended Kalman filter routine was developed to * provide real time estimates of torped...
In range-based underwater tracking, the accuracy of the calculated slant range depends largely on th...
The University of Idaho (UI), partnered with the Office of Naval Research (ONR), is developing the c...
In the ocean environment, two dimensional Range & Bearings target motion analysis (TMA) is gener...
Due to the lack of underwater navigation aids, a system capable of helping a submersible vehicle mai...
Computer ScienceThe Phoenix Autonomous Underwater Vehicle must be able to accurately determine its p...
Abstract: This work follows previous works on tracking of targets on Forward Looking Sonar images. A...
   The performance evaluation of various passive underwater target tracking algorithms like Pseu...
The Kalman filter is one of the most widely used algorithms to be derived from the state variable te...
Underwater navigation faces many problems with accurately estimating the absolute positionof an unde...
In under water an observer pre-processes the noisy bearing measurements available from passive sonar...
The present paper explores the use of Gaussian processunscented Kalman filter (GP-UKF) algorithm for...
Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 2007.Includes...
Student Thesis (NPS NRP Project Related)Accurate tracks and targeting are key to providing decision-...
Two separate sensing arrays track the same underwater vehicle. The two versions of track are differe...