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ISAM: Interoperability Architecture for Simulators and Radio Models

Award Information
Agency: Department of Defense
Branch: Army
Contract: W911QX-13-C-0017
Agency Tracking Number: A2-5115
Amount: $500,000.00
Phase: Phase II
Program: SBIR
Solicitation Topic Code: A11-016
Solicitation Number: 2011.1
Timeline
Solicitation Year: 2011
Award Year: 2012
Award Start Date (Proposal Award Date): 2012-12-03
Award End Date (Contract End Date): N/A
Small Business Information
15400 Calhoun Drive Suite 400
Rockville, MD -
United States
DUNS: 161911532
HUBZone Owned: No
Woman Owned: Yes
Socially and Economically Disadvantaged: No
Principal Investigator
 Justin Yackoski
 Senior Research Scientist
 (301) 294-4251
 jyackoski@i-a-i.com
Business Contact
 Mark James
Title: Director, Contracts&Pro
Phone: (301) 294-5221
Email: mjames@i-a-i.com
Research Institution
 Stub
Abstract

Since each discrete event simulator (DES) is implemented differently, each DES defines a unique application programming interface (API) between its core and the radio models. These differences lead to a situation where radio models are heavily tied to a particular DES. Ideally, radio models should be DES-agnostic, allowing flexibility in their use to reduce licensing costs, shorten the development cycle, and accelerate the improvement of radio technology. The objective of the proposed system is to provide a radio model adapter that supports the complete, automatic, and verified conversion of a wide range of radio models. Our approach addresses all aspects of the problem including identifying necessary translations, designing and implementing an adapter that automatically performs those translations, and testing and validating the conversion of a range of radio models. A core goal is to serve as an enabling technology to allow legacy radio models to be combined with DESs and other components in new ways, reducing the cost and delays associated with current practices. The proposed work has the potential to dramatically improve the compatibility and flexibility of existing simulation technologies and models, and has already been demonstrated successfully converting several radio models.

* Information listed above is at the time of submission. *

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