The Department of Defense (DOD) leads the world in the study of simulation interoperability. The evidence of this leadership is the creation of Distributed Interactive Simulation (DIS) and High Level Architecture (HLA) interoperability standards. Their experience has indicated that a critical precondition to achieving successful interoperability is to start with a correlated initial environment. Data interchange, therefore, is a central element for achieving interoperability between distributed, heterogeneous training system networks. In recognition of this need and the desire to achieve efficiencies throughout DOD, the Defense Modeling and Simulation Office conducted research to develop a research data model described as the Synthetic Environment Data Representation and Interchange Specification (SEDRIS). SEDRIS attempts to account for those data types and their relationships that are used to describe the synthetic environment in the DOD. The goal of SEDRIS is the loss-less and unambiguous transfer of data from one database to another across the full range of M&S applications, including sensors.
This research explores the sufficiency of the SEDRIS Data Model in terms of the loss-less, unambiguous transfer of sensor simulation data. This research explores issues stemming from the fundamental question: Does the SEDRIS Data Model adequately provide for sensor representation? This research indicates that a gap exists between the current SEDRlS (1.04d version) research model and what is needed based on the more general sensor requirements derived from primitive environmental factors. Essentially, the current SEDRIS Data Model does not sufficiently provide for sensor representation.
The primary output of this research was to extend the capability of the current SEDRIS Data Model to more fully provide for sensor representation based on primitive environmental factors that could be generalized to other domains. This research investigates the current SEDRIS Data Model's capabilities concerning the representation of sensor-related properties. The research examines a representative sample of popular sensor models and tools with respect to a categorization based on the electro-magnetic spectrum. The research developed a mapping and analysis process that not only resulted in recommendations to extend the SEDRIS Data Model to provide more fully for sensor representation but also provides a proven methodology to extend the model in the future. Finally, this research implemented, demonstrated and successfully tested a portion of the proposed extended SEDRIS Data Model.
This research will immediately benefit members of the sensor simulation community who need to use SEDRIS as an interchange format. Further, it provides extensions to the general environmental model that encompasses a wide spectrum of sensor systems based on primitive environmental elements. Additionally, this research develops a step-by-step process that can be generalized and applied to areas other than the sensor community. By documenting a proven, effective process, it is also intended to serve as a template that newcomers to the SEDRIS community can follow to reduce the time it takes to understand and extend SEDRIS to suit their individual needs.
| Identifer | oai:union.ndltd.org:ucf.edu/oai:stars.library.ucf.edu:rtd-3097 |
| Date | 01 January 1999 |
| Creators | Connors, Patrick Edward |
| Publisher | University of Central Florida |
| Source Sets | University of Central Florida |
| Language | English |
| Detected Language | English |
| Type | text |
| Source | Retrospective Theses and Dissertations |
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