Add to ORKGtextThis thesis investigates the improvements that can be made to Bayesian passive sonar tracking in the context of active-passive sonar data fusion. Performance improvements are achieved by exploiting the prior information available within a typical Bayesian data fusion framework. The algorithms developed are tested against both simulated data and data measured during the SEABAR 07 sea trial. Results show that the proposed approaches achieve improved detection, decreased estimation error, and the ability to track quiet targets in the presence of loud interferers.Electrical and Computer Engineerin
The present work introduces the reader to the basic theory used to optimally extract and process inf...
Recent theoretical and experimental studies have demonstrated that an estimate of the Green's functi...
In under water an observer pre-processes the noisy bearing measurements available from passive sonar...
The detection and tracking of underwater targets with active sonar is a challenging problem because ...
One goal of active-passive data fusion is to combine the information collected by two types of sonar...
AbstractThis paper presents an effective solution to the problems of multi-target tracking in passiv...
Creating human-informative signal processing systems for the underwater acoustic environment that do...
Thesis (Ph.D.)--University of Washington, 2012This document contains the majority of the research on...
A major advantage of the use of passive sonar in the tracking multiple underwater targets is that th...
In recent years, new acoustic stealth platforms, which have the potential to operate invisibly from ...
Active sonar tracking using measurements from multistatic sensors has shown promise: there are benef...
In our earlier work, data fusion with specific application to underwater tracking environment is exp...
Noise is frequently encountered when processing data from the natural environment, and is of particu...
The purpose of the effort reported here is to investigate modern multi-target tracking algorithms fo...
Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Compute...
The present work introduces the reader to the basic theory used to optimally extract and process inf...
Recent theoretical and experimental studies have demonstrated that an estimate of the Green's functi...
In under water an observer pre-processes the noisy bearing measurements available from passive sonar...
The detection and tracking of underwater targets with active sonar is a challenging problem because ...
One goal of active-passive data fusion is to combine the information collected by two types of sonar...
AbstractThis paper presents an effective solution to the problems of multi-target tracking in passiv...
Creating human-informative signal processing systems for the underwater acoustic environment that do...
Thesis (Ph.D.)--University of Washington, 2012This document contains the majority of the research on...
A major advantage of the use of passive sonar in the tracking multiple underwater targets is that th...
In recent years, new acoustic stealth platforms, which have the potential to operate invisibly from ...
Active sonar tracking using measurements from multistatic sensors has shown promise: there are benef...
In our earlier work, data fusion with specific application to underwater tracking environment is exp...
Noise is frequently encountered when processing data from the natural environment, and is of particu...
The purpose of the effort reported here is to investigate modern multi-target tracking algorithms fo...
Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Compute...
The present work introduces the reader to the basic theory used to optimally extract and process inf...
Recent theoretical and experimental studies have demonstrated that an estimate of the Green's functi...
In under water an observer pre-processes the noisy bearing measurements available from passive sonar...