AEGIS Combat System Optimization through Advanced Modeling of Software-Only Changes
Navy SBIR 2018.1 - Topic N181-031 NAVSEA - Mr. Dean Putnam - [email protected] Opens: January 8, 2018 - Closes: February 7, 2018 (8:00 PM ET)
TECHNOLOGY AREA(S):
Battlespace, Electronics, Sensors ACQUISITION PROGRAM: Program
Executive Office Integrated Warfare System (PEO IWS) 1.0 � AEGIS Combat System. The technology within this
topic is restricted under the International Traffic in Arms Regulation (ITAR),
22 CFR Parts 120-130, which controls the export and import of defense-related
material and services, including export of sensitive technical data, or the
Export Administration Regulation (EAR), 15 CFR Parts 730-774, which controls
dual use items. Offerors must disclose any proposed use of foreign nationals
(FNs), their country(ies) of origin, the type of visa or work permit possessed,
and the statement of work (SOW) tasks intended for accomplishment by the FN(s)
in accordance with section 5.4.c.(8) of the Announcement. Offerors are advised
foreign nationals proposed to perform on this topic may be restricted due to
the technical data under US Export Control Laws. OBJECTIVE: Develop modeling
and analysis software to optimize software-only changes in the Anti-Air Warfare
(AAW) system design to address new re-designs of Anti-Ship Cruise Missiles
(ACSMs) threats. DESCRIPTION: U.S. Navy AEGIS
surface combatants must consistently upgrade their system software and design
to pace the threat. A cost-effective method to optimize combat system designs
uses modeling platforms to characterize and test various software and hardware
configurations as well as proposed changes to the combat system. While models
exist, and can go into extensive detail on radar detection and tracking
performance and missile performance, there are continuous threat upgrades that
exploit vulnerabilities in system design. Combat system development must be
able to quickly optimize and overcome failures in combatting these threats
effectively and efficiently.� Tweaks in AEGIS Combat System (ACS) design,
including missile guidance, seeker pointing, illumination design, and other
shipboard combat system controls, can provide quick software-only fixes that
provide large gains in overall AEGIS performance against the latest ASCM
threats.� In this manner, the AAW combat capability of the ACS can be improved
via software-only upgrades.� Software optimization of AAW weapons and
components such as Evolved Sea Sparrow Missile (ESSM), Standard Missile (SM-2),
Close-in Weapons System (CIWS), Electronic Warfare (EW) systems, and other ACS
elements, could result in the upgrade of the ACS in a cost-effective manner.
Current upgrade processes involve man-driven engineering analysis to determine
the best options for inserting new upgrades or system improvements.� This
process is manual, labor intensive, and has inputs from disconnected sources
driving the timeline associated with analysis and decisions for software
insertions.� Because the AAW system is a highly complex system with multiple
interactions, human cognitive processing lacks the ability to perform the
necessary calculations to provide the best software upgrade recommendations.�
The Navy seeks to automate current processes and make them more data-driven to
field capability as quickly as possible, make the most optimal improvements to
AAW within the capabilities of the Navy�s current weapons, and provide
integrated data analysis to enable better integrate and ensure performance of
future weapons. PHASE I: Define and develop a
concept for modeling and analysis software to provide recommendations for
software-only changes in the AAW system design to address new re-designs of
ACSMs threats.� The concept must show it will feasibly support the test
environments identified in the Description.� Feasibility will be established
through assessment of the approaches to provide recommendations in reduced
timelines, to accurately represent the performance metric improvements driven
by proposed software only changes, and the approach to integrate the capability
into the ATB environment. The Government will provide access to the ATB
environment. Also develop a Plan of Action and Milestones (POA&M) to
design, develop, validate, and integrate the proposed software application into
the AEGIS combat system test environments.� The Phase I Option, if awarded,
will include the initial design specifications and capabilities description to
build a prototype system in Phase II. Develop a Phase II plan. PHASE II: Based on the
results of Phase I and the Phase II Statement of Work (SOW), design, develop
and deliver a prototype modeling and simulation software tool for recommending
software-only design changes to the AAW system. Implement the prototype into an
existing Government-approved modeling and simulation environment such as the
ATB to validate performance. The prototype system must be capable of demonstrating
the implementation and integration into the AAW weapons and components such as
Evolved Sea Sparrow Missile (ESSM), Standard Missile (SM-2), Close-in Weapons
System (CIWS), Electronic Warfare (EW) systems, and other ACS elements as
described in the Description. The demonstration will be conducted in a
Government-provided facility. The company will prepare a Phase III development
plan to transition the technology for Navy use and Program of Record. PHASE III DUAL USE
APPLICATIONS: Support the Government in transitioning the technology to Navy
use and allow for further experimentation and refinement.� The contractor will
validate the possible upgrades to system design via optimization and recommend
those designs for fielding. Implementation will be a fully functional software
tool for the ACS. REFERENCES: 1. Li, X., Fu, S., and Fan,
H. �Optimization of an Advanced Guidance Scheme for Long-Range AAMs Based on
SPSO.� Sun Z., Deng Z. (eds) Proceedings of 2013 Chinese Intelligent Automation
Conference. Lecture Notes in Electrical Engineering, vol 254. Springer, Berlin,
Heidelberg 23 March 2017. http://link.springer.com/chapter/10.1007/978-3-642-38524-7_38 2. Zhijun, Li, Yuanqing, Xia,
Chun-Yi, Su, Jun, Deng, Jun, Fu, and Wei, He. �Missile Guidance Law Based on
Robust Model Predictive Control Using Neural-Network Optimization.� 23 March
2017. https://www.researchgate.net/publication/265473271_Missile_Guidance_Law_Based_on_Robust_Model_Predictive_Control_Using_Neural-Network_Optimization KEYWORDS: Combat Capability
of AEGIS; Better Pace ACSM Threats; Software-only Upgrades for AAW systems;
Complex AAW; Standard Missile; ESSM
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