Synthetic Imaging Maneuver Optimization (SIMO)

Award Information
Agency:
National Aeronautics and Space Administration
Branch:
N/A
Amount:
$599,952.00
Award Year:
2009
Program:
SBIR
Phase:
Phase II
Contract:
NNX09CA65C
Agency Tracking Number:
075286
Solicitation Year:
2007
Solicitation Topic Code:
S2.01
Solicitation Number:
N/A
Small Business Information
Payload Systems, Inc.
1 Broadway 12th Floor, Cambridge, MA, 02142-1189
Hubzone Owned:
N
Socially and Economically Disadvantaged:
N
Woman Owned:
N
Duns:
604717165
Principal Investigator
 Joe Parrish
 Principal Investigator
 (617) 500-0248
 jparrish@aurora.aero
Business Contact
 Scott Hart
Title: Financial Analyst
Phone: (617) 500-0536
Email: shart@aurora.aero
Research Institution
N/A
Abstract
Aurora Flight Sciences (AFS), in collaboration with the MIT Space Systems Laboratory (MIT-SSL), proposed the Synthetic Imaging Maneuver Optimization (SIMO) program to develop a methodology, calibrated through hardware-in-the-loop testing, to optimize S/C maneuvers to more efficiently synthesize images for missions such as Stellar Imager (SI). Time and fuel-optimal maneuvers are only a part of the optimization problem. Selecting the maneuver waypoints (number and location) determines the quality of the synthesized image. The number of S/C, the size of the sub-apertures, and the type of propulsion system used also impacts imaging rate, propellant mass, and mission cost. Capturing all of these mission aspects in an integrated mission optimization framework helps mission designers to select the most appropriate architecture for meeting the needs and constraints of missions such as SI.

* information listed above is at the time of submission.

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