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Advanced Algorithms for Non-Resolved Space Based Space Sensing

Award Information

Agency:
Department of Defense
Branch:
Air Force
Award ID:
Program Year/Program:
2014 / SBIR
Agency Tracking Number:
F141-123-0937
Solicitation Year:
2014
Solicitation Topic Code:
AF141-123
Solicitation Number:
2014.1
Small Business Information
Applied Optimization, Inc.
714 E Monument Ave Ste 204 Dayton, OH 45402-
View profile »
Woman-Owned: No
Minority-Owned: Yes
HUBZone-Owned: No
 
Phase 1
Fiscal Year: 2014
Title: Advanced Algorithms for Non-Resolved Space Based Space Sensing
Agency / Branch: DOD / USAF
Contract: FA9453-14-M-0154
Award Amount: $150,000.00
 

Abstract:

The research objective of the proposed effort is to demonstrate and transition an autonomous, rapid determination of satellite features to be used for Threat Indication and Warning (TIN). The scope is to enhance and transition the advanced algorithms previously developed under AFRL/RV into operation in the Joint Space Operations Center (JSPOC) Mission System (JMS) through the JMS Advanced Research Collaboration and Application Development Environment (ARCADE) at AFRL/RV. The goal is for these algorithms to produce higher fidelity monitoring, change detection, and characterization of objects in Deep Space, particularly the geosynchronous (GEO) belt using unresolved photometric signature data. Phase I will demonstrate the feasibility of implementing characterization tools in ARCADE as proof of operational worthiness. Specifically, Phase I will demonstrate the GEO characterization tool, Photometry Analysis Software Tool Dayton (PAST-D) operating in the ARCADE environment in near real-time. Phase I will also include the development and testing of statistical algorithms for dynamic statistical assessment that detects changes for TIN. These modules will be merged with PAST-D to create a new tool, the Photometry-based Satellite Status Assessment System (PSSAS), to be demonstrated in ARCADE in Phase II that will derive TIN from the assessment of the evolution of fine photometric features.

Principal Investigator:

Tamara Payne
Principal Scientist
(937) 431-5100
tamara.payne@appliedo.com

Business Contact:

Catherine Keenan
Finance Manager
(937) 431-5100
katy.keenan@appliedo.com
Small Business Information at Submission:

Applied Optimization, Inc.
714 E Monument Ave Ste 204 Dayton, OH 45402-

EIN/Tax ID: 311446081
DUNS: N/A
Number of Employees:
Woman-Owned: No
Minority-Owned: Yes
HUBZone-Owned: No