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Abstract:
This paper describes TARSIA, a knowledge-based system for underwater contact tracking. In particular, the tracking problems addressed by TARSIA encompass contact solution quality assessment and multiple solution integration and these are presented in a preliminary discussion. Subsequently, the function of TARSIA reasoning capabilities are summarized. Salient design features include temporal reasoning, symbolic/numeric interaction, and a mixed-initiative user interface. The TARSIA (TARgeting Solution Integration and Assessment) domain involves data and information processing for contact tracking in an underwater acoustic environment. Signals either emitted from or reflected off of a contact are received by an observer and processed to provide measurement data such as the azimuthal angle of arrival (bearing). As measurement data is collected over time, it is further processed to generate a contact solution, that is, a set of parameters related to contact state (e.g., position and velocity). However, adverse tracking conditions are often encountered in the underwater acoustic environment. Measurement data is typically corrupted by additive noise indicative of ambient noise in the sound channel and by systematic errors that arise during data generation. Consequently, statistical estimation techniques are utilized to minimize error in contact state estimates and to provide an indication of solution accuracy, referred to as solution quality. (kr)
| Limitations: |
 APPROVED FOR PUBLIC RELEASE |
| Pages: |
8 |
| Report Date: |
17 NOV 86 |
| Report Number: |
A297722 |
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