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Greenbelt, MD, United States

Grant
Agency: Department of Defense | Branch: Air Force | Program: SBIR | Phase: Phase II | Award Amount: 748.10K | Year: 2013

ABSTRACT: The main objective of this task is to demonstrate that multiple systems with assorted architectures within the DoD can share data to better enable Warfighter Tasking. As opposed to manually transferring data products through high latency means like Microsoft PowerPoint or Word documents through email or file transfer protocol (FTP), which may require phone calls to operators and preparation time and then manual data entry into the application requiring the new information, data should be made available instantly 100% of the time when the proper security credentials are supplied. A Warfighter will make better informed decisions when more data is available to them in a timelier manner, which can significantly impact outcomes and the safety of our soldiers. The key technology that will enable enhanced Warfighter Tasking is a data format and protocol bridge service to connect the Joint Space Operations Center (JSpOC) Mission System (JMS) with the Operationally Responsive Space (ORS) Mission Services Interface (MSI), and potentially other platforms in the future. JMS employs a service-oriented architecture (SOA) that leverages web services and ORS employs the NASA GMSEC messaging architecture. BENEFIT: There are several benefits to be gained by developing a GMSEC-JMS bridge, which include: 1. Improved Warfighter tasking due to the availability of additional information (i.e. cloud cover, satellite positions, Intel, etc.) 2. Enabler for real-time flow of satellite information from the 50SW to JSpOC, as the 50SW is also looking at adopting GMSEC 3. Real-time awareness of ORS and JSpOC assets between both organizations 4. Ability to more rapidly interface with other DoD organizations 5. Enhanced readiness to adopt future technologies At the completion of Phase III, Emergent will be able to provide a fully operational software product that could be deployed to multiple DoD government organizations, such as the Missile Defense Agency (MDA) and the National Geospatial-Intelligence Agency (NGA). The initial customers for the MBS will be the JMS and ORS so data can be shared among the two different architectures. Emergent has also participated in demonstrations in the SMC-SN Compatible C2 Test Bed managed by The Aerospace Corporation in Chantilly, VA. The target customer for this demonstration could have an interest receiving information from the JMS or another GMSEC control center.


Grant
Agency: Department of Defense | Branch: Defense Advanced Research Projects Agency | Program: SBIR | Phase: Phase I | Award Amount: 99.97K | Year: 2013

Simulations that connect to testbeds are frequently used in space operations testing. Many of these testbeds have characteristics that are desirable to others in the field, but they are geographically distributed across the nation. The ability to connect multiple, remote testbeds to a single core simulation offers a significant enhancement of capabilities for multi-spacecraft programs such as F6 and Phoenix. Such remote access is not currently possible. We propose to develop an enabling architecture which transmits information about reference frame, kinematics, and dynamics from multiple testbed resources to a core simulation via the internet, while managing synchronization and latency. In Phase I, we focus on trade studies and surveys to resolve core data transmission and protocol requirements as well as lower program risk. The development effort culminates in an open-source standard architecture for remote simulation/testbed interfacing through an internet connection as well as software operating within this framework that can be deployed to connect a general simulation to testbeds across the country.


Grant
Agency: Department of Defense | Branch: Defense Advanced Research Projects Agency | Program: SBIR | Phase: Phase I | Award Amount: 99.99K | Year: 2013

There are many data intensive mission payloads for intelligence, surveillance and reconnaissance (ISR) that collect more data than is practical to transmit through the downlink. The ability to autonomously process and classify this data on board can significantly reduce the downlink bandwidth requirements, thereby making it more feasible to transmit products directly to commanders in the field or even the warfighter themselves. However, existing space-qualified processors do not have the raw processing power necessary to achieve this for many applications. There are commercial-off-the-shelf (COTS) processors that could meet the processing requirements. A space-qualified-hypervisor implementation would allow the use of COTS components in order to meet the reliability requirements for a space based implementation by employing redundancy and also provide parallel processing opportunities that would greatly enhance the ability to meet the requirements of data intensive missions. Emergent Space Technologies, Inc. proposes to conduct feasibility studies, technical analysis and simulation, and to conduct small scale proof of concept demonstrations during Phase 1 of this project to determine the space qualify-ability of a Type 1 hypervisor based off of an existing COTS processor.


Grant
Agency: Department of Defense | Branch: Air Force | Program: SBIR | Phase: Phase II | Award Amount: 832.49K | Year: 2014

ABSTRACT: The U.S. Air Force is tasked with detecting, tracking, identifying, characterizing, and cataloguing RSOs. This is currently done using a disparate network of sensors that are shared with other missions. The increasing number of objects and scarcity of sensors makes the task of identifying and discriminating RSOs even more challenging. The ultimate goal of this project is to provide the Air Force with algorithms capable of processing and fusing space surveillance data with improved abilities to detect, track, identify, and characterize resident space objects (RSOs). Emergent Space Technologies, Inc. has teamed with the University of Colorado Boulder and The University of Texas at Austin to research and develop algorithms to address these needs and improve the AFs capability to detect, track, identify, characterize and catalog RSOs. Our long-term goal is to provide an integrated tool suite that can be used in the Joint Space Operations Center (JSpOC) Mission System (JMS). BENEFIT: The primary goal of our commercialization plan is to incorporate our SSA algorithms into products that the DoD can use in the Joint Space Operations Center (JSpOC) Mission System (JMS) to determine RSO capabilities and intentions by estimating their important characteristics, features, and behaviors.


Grant
Agency: Department of Defense | Branch: Air Force | Program: SBIR | Phase: Phase I | Award Amount: 149.96K | Year: 2012

ABSTRACT: As the number of objects in orbit about the Earth and the capabilities of satellites increase, it becomes more difficult to obtain true space situational awareness (SSA). In many cases, the small size or distance of these resident space objects (RSOs) further complicate this problem because it is beyond the capability of ground-based electro-optical sensors to resolve them. For that reason, novel ways to use time-resolved radiometric, photometric, and polarimetric measurements to estimate relevant characteristics of these RSOs are vital to SSA and protecting our assets in space. To that end, Emergent Space Technologies, Inc. and the University of Texas at Austin propose using Hierarchical Mixtures of Experts (HMEs) to process electro-optical measurements, including apparent magnitude, declination, and right ascension, in order to estimate the size, shape, configuration, attitude, angular velocity, and reflectivity of resident space objects. BENEFIT: Our goal is to increase the utility of unresolved electro-optical measurement data in estimating important characteristics of RSOs. Using the models and algorithms developed in Phase 1, we can estimate the size, shape, configuration, attitude, angular velocity, and attitude of an RSO. This improves SSA because the function and intent of an RSO is more easily inferred when these estimates are available. In Phase 2 we will develop and validate an operational prototype of our system and demonstrate it in the AFRL JMS Test Bed. A validated and tested feature identification system could be used not only by the JMS but by any commercial or government organization that uses optical observations of space objects to estimate their attitude or material properties. The HME could have commercial applications for collaborative GPS tracking applications in which multiple, distributed GPS sensors are operating in degraded environments. The HME may also provide an ability to accomplish integrity monitoring of GPS satellite systems for applications that are life critical and require the highest levels of navigation accuracy, such as in automated precision landing systems. This technology is also applicable to medical imaging, meteorology, and homeland security applications.

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