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Tactical Link Analysis
Contents
Joint
Tactical Information Distribution System (JTIDS)
In collaboration with Johns Hopkins University Applied Physics Laboratory
(APL), Daniel H. Wagner Associates analyzed JTIDS message standards
and procedures and Battle Group tactical requirements, and proposed
changes to the message standards and to tactical data processing
on board Navy ships to achieve data registration in JTIDS. This
activity includes attendance at Navy meetings, development of
and participation in JTIDS test plans, and preparation of analyses
and reports for the Navy.
Wagner Associates in association with APL has also studied
reporting responsibility, surveillance requirements, and data
registration issues related to JTIDS network analysis. We wrote
draft message standards for the standards working group, and
modified and executed test plan segments related to tactical
track data issues.
Link
Capacity and Information Theory
For the Naval Air Warfare Center, Wagner Associates has developed
an information-theoretic basis for assessing self-interference
and bandwidth congestion for JTIDS networks. This study will
permit more scientific design of JTIDS links and permit for efficient
use of available bandwidth.
Optimization
of Link Data Using Kalman Filters
For U.S. Army Communications and Electronics Command, Wagner is conducted a study directed at the problem of reducing communications
requirements for Situation Awareness Target Location by using
an optimal Kalman filter to predict target motion, and only communicating
data when the target position differs sufficiently from the position
predicted by the filter.
In Phase I we quantified the bandwidth limitations of the communications
system, identified the optimal Kalman filter motion and observation
models to use, and wrote software to screen the outgoing SA messages
based on Information Theoretic criteria. We demonstrated, by
tests conducted in the Wagner Data Fusion Testbed and by technical
documentation, that the resulting filter achieves a 60%-90% reduction
in message traffic, with more than 20% improvement in position
accuracy, using Advanced Warfighting Experiment data.
The technology developed in this project will be applicable to
data fusion problems generally, including ballistic missile defense,
drug interdiction efforts, and theater-level surveillance.
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