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AEGIS Combat System Optimization through Advanced Modeling of Software-Only Changes

Award Information
Agency: Department of Defense
Branch: Navy
Contract: N68335-18-C-0505
Agency Tracking Number: N181-031-0741
Amount: $124,911.00
Phase: Phase I
Program: SBIR
Solicitation Topic Code: N181-031
Solicitation Number: 2018.1
Timeline
Solicitation Year: 2018
Award Year: 2018
Award Start Date (Proposal Award Date): 2018-06-14
Award End Date (Contract End Date): 2018-12-11
Small Business Information
4401 Wilson Boulevard, Arlington, VA, 22203
DUNS: 606926769
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Seth Watts
 (703) 807-0055
 swatts@idtus.com
Business Contact
 Teddy Kidd
Phone: (703) 522-4032
Email: tkidd@idtus.com
Research Institution
N/A
Abstract
Optimizing the AEGIS Combat System against evolving Anti-Ship Cruise Missile (ACSM) threats is currently a manual process that involves iterations of research, design, implementation, and testing. This process is tried and true, but also expensive and time-consuming, leaving a static system in place for the duration of the mission. The only cost-effective method of solving this problem is with the use of automation. Invariably, this points toward software-only changes to ACS, as opposed to hardware upgrades. This is especially true given the investment by IWS 1.0 in Combat System Test Bed (CSTBformally the AEGIS Test Bed, ATB).

IDT proposes to create a Design Virtual Assistant (DVA). The DVA will encapsulate the thought process of an AEGIS Operations Research Analyst and recommend software-only changes to the AAW system in response to re-designs of ASCM threats. IDT's automated analysis software, Automated Test and Re-Test (ATRT), can analyze the data CSTB produces from hundreds of thousands of Monte Carlo simulations. Combining this automated analysis capability with the knowledge of an AEGIS Operations Research Analyst, the DVA can suggest parameterized changes to the Combat System configuration (including weapons and sensors) to improve performance against the exercised threat.

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

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