SBIR-STTR Award

Distributed Satellite Resource Management for Mission Operations
Award last edited on: 6/25/2010

Sponsored Program
SBIR
Awarding Agency
DOD : AF
Total Award Amount
$820,352
Award Phase
2
Solicitation Topic Code
AF093-058
Principal Investigator
David Rodvold

Company Information

Intelligent Software Solutions Inc (AKA: ISS)

5450 Tech Center Drive Suite 400
Colorado Springs, CO 80919
   (719) 457-0690
   info@issinc.com
   www.issinc.com
Location: Multiple
Congr. District: 05
County: El Paso

Phase I

Contract Number: ----------
Start Date: ----    Completed: ----
Phase I year
2010
Phase I Amount
$99,994
AFRL has performed basic research in Space Situational Awareness (SSA) for many years. With the successful execution of multiple programs during the past few years, AFRL has become the de facto center of mass in the SSA development community. As the technologies continue to advance, SSA becomes a critical factor in responding to space threats. The ISS Team proposes to continue development of these net-centric technologies in order to aid in AFRLÂ’s ongoing efforts to provide net-centric resource management to the Space Surveillance Network (SSN). The Continuous Anomalous Orbital Situational Discriminator (CAOS-D) system being proposed by the ISS Team will aid the SSN in optimizing sensor collection tasking. CAOS-D will address the new SSN sensors coming by being able to operate in an online mode by making use of streaming catalog updates. CAOS-D will then provide a set of satellites it recommends be closely monitored because of their involvement in possible conjunction or proximity events.

Benefit:
CAOS-D will provide an extensible online platform for performing conjunction and proximity analysis in a net-centric environment that will be compatible with forthcoming Joint Space Operations Center Mission System (JMS) SOA architecture. CAOS-D will move operators away from the manual/batch-run conjunction analysis process and towards a system that provides a more accurate and up to date space picture. Furthermore, with the new streaming sensors being brought online, CAOS-D will stand ready to consume the new cadence of data. Commercial applications of CAOS-D include currently envisioned SSA and DCS systems such as JMS.

Keywords:
Space Situational Awareness, Data Fusion, Resource Management, Net-Centricity, Service Oriented Architecture, Conjunction And Proximity Analysis, Collision Avoidance, Space Su

Phase II

Contract Number: ----------
Start Date: ----    Completed: ----
Phase II year
2011
Phase II Amount
$720,358
AFRL has performed basic research in Space Situational Awareness (SSA) for many years. With the successful execution of multiple programs during the past few years, AFRL has become the de facto center of mass in the SSA research and development community. Perhaps one of the most critical areas of SSA is that of satellite conjunction analysis (CA). While CA has been performed operationally for some time, new requirements demand that more efficient approaches be investigated. In particular, improved sensor capabilities within the USAF Space Surveillance Network (SSN) indicate that the size of the orbital satellite catalog will increase dramatically, overwhelming the ability of existing operational CA tools to run in real-time. The objectives of Continuous Anomalous Orbital Situation Determination (CAOS-D) are to identify and develop advanced algorithms for orbital conjunction analysis and to provide a platform in which to efficiently and objectively evaluate such algorithms. The ISS Team proposes radically new approaches to conjunction analysis in an effort to provide an improved space picture to the operators. The second phase of CAOS-D builds on the performance improvements made in the first phase and focuses on new algorithms for CA. By using the architecture developed in Phase I, the ISS Team will be able to implement and evaluate new algorithms with greater ease and efficiency.

Benefit:
CAOS-D will provide a configurable platform for conjunction analysis in a net-centric environment that will be compatible with forthcoming JSpOC Mission System (JMS) architecture. In Phase I, CAOS-D achieved partial integration with the JMS UDOP. This integration showed how a user can interact with CAOS-D and configure it to evaluate various conjunction algorithms. After completing the distributed process control, visualization and astrodynamic assessment algorithms in Phase II, CAOS-D will provide a system that will be usable by operational organizations and transitionable to programs of record. Commercial applications of CAOS-D include currently envisioned SSA and Defensive Counter Space (DCS) systems such as the JSpOC Mission System (JMS) as well as current technical customers such as Air Force Space Command (AFSPC) A9.

Keywords:
Space Situational Awareness, Conjunction Analysis, Collision Avoidance, Net-Centricity, Service Oriented Architecture