Air force 14. 1 Small Business Innovation Research (sbir) Proposal Submission Instructions
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4. The controlled emission timing jitter should be less than 100 picoseconds. 5. The temporal emission width should be less than 1 nanosecond. 6. The emission rate should be greater than 1 MHz. 7. The source should be directional with near-diffraction-limited wavefront quality.
PHASE I: Design an on-demand single photon source capable of producing: narrowband photon emission in the spectral range 750-1600nm; single photons at a rate of = 1 MHz. Approach should include a detailed design description & supporting physics based analysis to demonstrate achievement of sub-Poissonian statistics. Prepare a plan for prototype development & testing & determine DoD application feasibility. PHASE II: Prepare and test prototype single photon source with high emission rates, high contrast antibunching and efficiency, photostability and electrostability. Demonstrate achievement of sub-Poissonian statistics by intensity autocorrelation measurements of g(2). Identify packaging and systems integration issues for operation in a LEO environment. PHASE III DUAL USE APPLICATIONS: Military: Encryption technologies are needed for all DoD & NRO spacecraft & many other operational systems. Commercial satellites and ground system will benefit in the same manner as military spacecraft from this technology. Future quantum communications systems will also be derived from this research. REFERENCES: 1. E. Wu, J. R. Rabeau, G. Roger, F. Tresussart, H. Zeng, P. Grangier, S. Prawer and J-F Roch, “Room temperature triggered single-photon source in the near infrared,” New Journal of Physics 9 (2007) 434.
AF141-012 TITLE: Rapid Mission Planning for Desirable Viewing Conditions KEY TECHNOLOGY AREA(S): Space platform 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 solicitation and within the AF Component-specific instructions. Offerors are advised foreign nationals proposed to perform on this topic may be restricted due to the technical data under US Export Control Laws. Please direct questions to the AF SBIR/STTR Contracting Officer, Ms. Kristina Croake, kristina.croake@us.af.mil. OBJECTIVE: To develop a method to optimize scheduling and planning for Space Situational Awareness (SSA) collects. DESCRIPTION: The AFSPC (Air Force Space Command) Space Surveillance Network (SSN) and AFRL (Air Force Research Laboratory) utilizes a number of ground based observatory telescope systems to observe satellites and obtain awareness to support Space Situational Awareness (SSA). These telescope systems can operate in a variety of configurations to collect highly resolved images of Low Earth Orbiting (LEO) satellites and to perform non-resolved detection/astronomy/photometry of both Geosynchronous Earth Orbit (GEO) and LEO satellites. In astronomy, mission planning and scheduling of telescopes is simply a matter of determining whether the object is within the field of regard of the sensor, and is bright enough to be seen by the sensor. Since the brightness usually doesn’t vary, and the line of sight between the object and the sensor can be predicted with great accuracy years in advance, the scheduling is pretty straightforward, other than the variable of weather. However, for satellites, the brightness is highly dependent on the orientation of the satellite and the solar phase angle—the angle between the sun-satellite-sensor. Furthermore, our knowledge of the orbit is not precise enough for us to predict months in advance what the optimal viewing opportunities will be. Current processes are manpower intensive and mostly based on whether the satellite breaks the horizon, and an average brightness that doesn’t account for phase angle. Collecting data under sub-optimal conditions can lead to data that is useless, thus wasting resources that could be devoted elsewhere.
PHASE I: Develop a logic tree of factors for mission planning. Assess existing databases, radiometric, atmospheric, noise models and performance data against the logic tree. Formulate an automated method that provides a 6-month schedule, a refined monthly schedule and a detailed weekly schedule to optimize collection opportunities for a variety of sensor systems and runs within 2 minutes. PHASE II: Implement an improved mission planning tool that permits AFSPC and AFRL SSA assets to improve collection efficiency and success. Develop an automated method for mission planning that provides a 6-month schedule, a refined monthly schedule and a detailed weekly schedule to optimize collection opportunities. Demonstrate the mission planning tool using AFRL telescopes at the Maui Space Surveillance and Starfire Optical Range sites. PHASE III DUAL USE APPLICATIONS: Worldwide deployment to AFSPC and AFRL SSA assets. REFERENCES: 1. Hussein, I.I.; DeMars, K.J.; Fruh, C.; Erwin, R.S.; Jah, M.K., "An AEGIS-FISST integrated detection and tracking approach to Space Situational Awareness," Information Fusion (FUSION), 2012 15th International Conference on , vol., no., pp.2065,2072, 9-12 July 2012. 2. Linares, R., Jah, M., Crassidis, J., Leve, F., Kelecy, T., (2012). Astrometric and Photometric Data Fusion for Inactive Space Object Feature Estimation, Journal of the International Academy of Astronautics: Acta Astronautica, Accepted (08/01/12). 3. DeMars, K., Hussein, I., Jah, M., Erwin, R.S., (2012). The Cauchy-Schwarz Divergence for Assessing Situational Information Gain, 15th International Conference on Information Fusion, Singapore, Singapore, July 9 – July 14. KEYWORDS: mission planning, space situational awareness, satellite modeling AF141-013 TITLE: Efficient Photometry TECHNOLOGY AREA(S): Sensors 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 solicitation and within the AF Component-specific instructions. Offerors are advised foreign nationals proposed to perform on this topic may be restricted due to the technical data under US Export Control Laws. Please direct questions to the AF SBIR/STTR Contracting Officer, Ms. Kristina Croake, kristina.croake@us.af.mil. OBJECTIVE: Decrease the time burden of photometric collection using stars serendipitously collected with optical sensors without compromising calibration accuracy and data quality. DESCRIPTION: Photometric data collection techniques have become key for space surveillance. Photometric techniques can be used on most existing electro-optical sensors and have become a routine collection method. Photometric data contributes to space object identification and characterization techniques and are being utilized more than ever. However, current photometric methods are cumbersome, requiring 10-12 stars' calibrations to be collected in addition to the photometric collection of interest. The potential exists to reduce collection time 90% by eliminating this calibration time. Additionally, some data collected cannot be used, because star calibrations were not performed at the time of collection. This has the potential to significantly increase the capacity of operational sensors. New methods of photometric calibration are required that can take any image file, extract stars and any other objects in the field, and precisely (<10% photometric magnitude error) calibrate photometric curves for Maui Space Surveillance Site data types. The new technique should include corrections for star color terms as well as corrections for gain and bias errors. Stellar calibration by astronomers around the world has produced extensive catalogs of calibrated stars. In frame photometric calibration is possible. Current methods perform in frame photometry collected on sensors with a large field of view (FOV) and on objects with a relatively similar velocity relative to the stars. State-of-the-art advancements will provide photometric calibration for data collected on sensors with a 20 arcmin or smaller FOV, and preferably sensors down to a 6 arcsec FOV. Techniques should be applicable at all orbital regimes. Alternatively, new methods of photometric calibration using GPS have been identified. Either technique could be potentially used to make photometry collection more efficient. The best solutions will be low cost, globally applicable, will apply to many sensors and wavelengths, will operate in near real time, and will take no additional collection time. Proposals should identify the expected performance including: calibration accuracy, the sensor FOVs it applies to, the signal to noise ration (SNR) required and any additional benefits the processing technique may have. Include examples of demonstrated experience with photometric, astrometric collections and analysis, experience analyzing imagery, and related software development in the proposal. PHASE I: Assess solutions and design prototype software. Update performance analysis. Include past examples of designing similar software in proposal. PHASE II: Using techniques identified in Phase I, further develop and mature the research code into a standalone software module that is easily integrateable into existing data pipeline. Test and evaluate the software to confirm performance predictions and robustness with different with data collected at Maui Space Surveillance Site.
PHASE III DUAL USE APPLICATIONS: Software will be of use to government and astronomical entities. This product can reduce collection time by 90% and save significant dollars by automating photometric calibration to operate in real time and eliminate the manpower required to reduce data that is later discovered unusable. REFERENCES: 1. “Space situational awareness applications of the PS1 AP catalog,” Monet, D. AMOS Conference Proceedings, p 40 (2006).
AF141-014 TITLE: Decision Aid to Threat Identification and Intent Modeling KEY TECHNOLOGY AREA(S): Space platform 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 solicitation and within the AF Component-specific instructions. Offerors are advised foreign nationals proposed to perform on this topic may be restricted due to the technical data under US Export Control Laws. Please direct questions to the AF SBIR/STTR Contracting Officer, Ms. Kristina Croake, kristina.croake@us.af.mil. OBJECTIVE: Develop a method to monitor satellite observables using optical and other data sources to predict, and understand, future activities of operational satellites in orbit. DESCRIPTION: Determine future space activities by data mining to link disparate data together to determine patterns and trends that may be indicators of future events that might threaten our satellites. To accomplish this, determine if available data and models of human behavior are sufficient to provide a probabilistic prediction of what deviations in the data might indicate. The goal would be to develop an understanding of what observables are vailable to establish a baseline of normal space operations, what deviations are significant and how this data can be used to develop a decision aid to identify and confirm with high confidence that operations have deviated from normal behavior. It requires an assessment of what types of information may be available to feed the model, whether the information can be collected with sufficient accuracy or timeliness and whether the data can be processed quickly enough to be meaningful. Please include any requested data sources needed to accomplish the research in the proposal. Include references in proposals on how similar approaches to the proposed technique have been validated, particularly if they have been validated by the government. State-of-the-art advancements will identify potential threats several hours prior to threat event occurrence. Proposals should detail the experience in information theory, or behavior modeling and experience in validating theoretical approaches similar to the one proposed. Proposals should also include what existing data sources would be utilized. If needed, DoD High-Performance Computing resources would be available to support this research and development. PHASE I: The initial step will be to develop a logic tree of factors that can be measured and or observed that might affect standard operations of a satellite control network. The next step would be to identify potential approaches to aggregating the individual observables into a model that might be used to assess operating modes and deviations thereto. PHASE II: Develop a model or decision aid used to interpret data sources identified in Phase I. Predict potential future satellite operations, both near term and long term if possible. Quantification and probability of generating false positives (a deviation identified when none exists) vs. false negatives (a deviation not identified) will be assessed. Measure performance against notional scenarios and timelines. PHASE III DUAL USE APPLICATIONS: Decision aids and threat identification; modeling of intent. REFERENCES: 1. Hussein, I.I.; DeMars, K.J.; Fruh, C.; Erwin, R.S.; Jah, M.K., "An AEGIS-FISST integrated detection and tracking approach to Space Situational Awareness," Information Fusion (FUSION), 2012 15th International Conference on, pp. 2065,2072, 9-12 July 2012. 2. Linares, R., Jah, M., Crassidis, J., Leve, F., Kelecy, T., (2012). Astrometric and Photometric Data Fusion for Inactive Space Object Feature Estimation, Journal of the International Academy of Astronautics: Acta Astronautica, Accepted (08/01/12). 3. DeMars, K., Hussein, I., Jah, M., Erwin, R.S., (2012). The Cauchy-Schwarz Divergence for Assessing Situational Information Gain, 15th International Conference on Information Fusion, Singapore, Singapore, July 9 – July 14. KEYWORDS: modeling, threat identification, space situational awareness, data fusion AF141-015 TITLE: Strategic Collection for Rapid Return to Continuous Monitoring for Deep Space Wide Area Search and Tasked Sensors
DESCRIPTION: The potential exists to maintain consistent awareness of all man-made objects extending to Geosynchronous Earth Orbits (GEOs) and super-synchronous regimes by combining the use of multiple telescopes: one tasked to observe known or newly discovered objects (uncorrelated targets or UCTs), and one repeatedly surveying the sky to detect changes and discover new objects. Scheduling these sensors is not straight forward as they have limitations on sensitivity, field of view, required revisit time, operation in inclement weather, and maintenance downtime. Solutions are needed that can maximize awareness of man-made objects over a region by building a scheduler that adapts to real-time operational status changes and is robust enough to follow up on UCTs and meet high priority satellite needs. Scheduling strategies to optimize search patterns for 2 or more telescopes need to be developed so that they can operate in "search mode” where most appropriate and efficient and look for specific objects in a "tasked mode" mode when most efficient. Solutions need to maximize the coverage area and minimize the number of lost objects, providing a complete picture of objects overhead. State-of-the-art solutions will detect and correlate 90% of all objects above the sensors' threshold sensitivity within the sensors' field of regard within 8 hours of continuous sensor ready status. Examine potential solutions in Phase I. Establish a simulation to quantify the information and performance gains that can be achieved by candidate mission planning and tasking methods. The simulation should consider existing sensors of varying field of view, sensitivity, and search rate capability but may include other sensors as well. Consider varying the scan rates, integration times and operating in a search mode or tasked mode to maximize coverage area, repeat observations, object velocities handled, to maintain custody of all man-made objects on orbit, detect changes, detect new dim objects, and follow up/correlate/determine orbits/and characterize new dim objects. Quantify the probability of follow-up detection. In the proposal, detail your simulation capability and how it has been validated. Techniques will be demonstrated at the Maui Space Surveillance Site (MSSS). Revisit rates and duration of collections for tasked objects and MSSS sensor specifics available at award. For the software development in Phase II: 1. Build real-time mission planning software for scheduling search-based in concert with tasked sensors to reduce the number of UCTs near GEO orbits. Include a user interface that accepts input on weather, sensor outages, and is modular enough to incorporate advanced processing algorithms to determine search rate. Software development must be modular to accept future improvements in the processing algorithm without significant code rewrite. It will start with a nominal sensitivity and coverage rate search sensor but can be configured for operational desires (increase repeat frequency, increase coverage area, increase range of velocities, etc.) and based on the analysis accomplished in Phase I. 2. Build real-time mission planning software for collection with tasked sensors to maximize coverage area/sensitivity/revisit/number of objects near GEO. Accounting for weather and sensor outages, collect frequently enough to maintain custody, detect changes, and detect new dim objects, and follow up/correlate/determine orbits/and characterize new dim objects. Software development must be modular to complement future improvements in this area. It should be able to be initially configured by the sensor parameters and operational tasking (increase repeat frequency, increase tasked list, wider FOV sensor, increase range of velocities, etc.). PHASE I: Accomplish the simulation. Identify scheduling and tasking strategies for efficiently maintaining custody, detecting changes and new dim objects, and follow up/correlate/determine orbits/and characterize cued and uncued targets. Simulate candidate techniques and quantify the likelihood of follow-up detection. Document parameters used and results in final report. Directory: wp-content -> uploads -> 2016 2016 -> 2017 afoCo Landmark Scholarship Program 2016 -> Instructions for the Preparation of Camera-Ready Contributions to the Conference Proceedings 2016 -> Step student Scholarships for Year 10-13 2016 -> The united church of canada 2016 -> Idan raichel biography – May 2016 Brief Producer, keyboardist, Lyricist, composer and Performer Idan Raichel 2016 -> An introduction to centre’s interventions expanding access to justice 2016 -> Sanchar Shakti 2016 -> Unit analysis should help here. We want number of bananas 2016 -> The Autobiography of Elder Joseph Bates 2016 -> The Great Heat and the Rhode Island Deep Water Bay Scallop (Argopecten irradians) Fishery 1875-1905 Download 1.72 Mb. Share with your friends:
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