Automating ASW fusion
Pabelico, James C.
- Publisher: Monterey, California. Naval Postgraduate School
Kalman filtering | Anti-submarine warfare | Operations research
Approved for public release; distribution is unlimited.
This thesis examines ASW eFusion, an anti-submarine warfare (ASW) tactical decision aid (TDA) that utilizes Kalman filtering to improve battlespace awareness by simplifying and automating the track management process involved in anti-submarine warfare (ASW) watchstanding operations. While this program can currently help the ASW commander manage uncertainty and make better tactical decisions, the program has several limitations. Commander, Anti-Submarine Warfare Force U.S. Third Fleet/Commander, Task Force THREE FOUR (CTF-34), seeks to utilize ASW eFusion's playback feature to re-analyze ASW missions by incorporating friendly (Blue) submarine detections into historical target tracks generated by other ASW sensors. The problem is that, the program exhibits several system timing problems when the operator attempts to insert time-late observation data. This thesis will evaluate ASW eFusion's problematic ability to handle time-late reports, prescribe working solutions, and investigate methods to improve the program's user interface for use on the tactical watch floor.