Army 17. 1 Small Business Innovation Research (sbir) Proposal Submission Instructions
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PHASE III DUAL USE APPLICATIONS: In addition to potential Army and DoD customers the use of ITS by other governmental agencies is a rich market area. Law enforcement, disaster preparedness and response are just two such areas. REFERENCES: 1. Dumanoir, P et. al. “The Live-Synthetic Training, Test and Evaluation Enterprise Architecture” 2015 I/ITSEC 2. rippin, B. et. al. “Live Synthetic Training and Test & Evaluation Infrastructure Architecture (LSTTE IA) Prototype”, 2015 I/ITSEC 3. Sottilare, R. et. al., “Antecedents of Adaptive Collaborative Learning Environments”, 2015 IITSEC 4. Sottilare, R., Roessingh, J., “Chapter 6 – The Application Of Intelligent Agents In Embedded Virtual Simulations (EVS)”, STO-TR-HFM-165, NATO Science and Technology Organization, 2014 KEYWORDS: ITS, SOA, adaptive learning, intelligent tutoring
TECHNOLOGY AREA(S): Information Systems OBJECTIVE: Develop a Human Type Target (HTT) that increases realism (realistic portrayal of threat, threat escalation, and threat reduction), durability and usability in the Urban Operations (UO) Training environment. An HTT is a stationary, physical, three dimensional, full body target designed to realistically portray a human being. DESCRIPTION: The HTT would be used in an urban training environment (Shoot Houses, Combined Arms Tactical Training Facilities (CACTFs), etc.). Currently, when current human-type targets need to be reset, a person has to go to the target and physically stand it up. Also, most human-type targets are currently one piece and unrealistically fall straight down when they are killed. The target must be capable the following movements:
The target must incorporate programmable hits to kill, hit detection capabilities, and hit zone definition. The HTT should utilize common off the shelf elements in order to reduce cost and increase availability. The HTT must be capable of integrating into an existing UO training network or operate in stand-alone mode. The HTT will be used in a live fire environment and must detect and be durable enough to sustain hits from 5.56mm Ball, Special Effects Small Arms Marking System (SESAM), and Short Range Training Ammunition (SRTA). The HTT must be capable of surviving live fire environments and be constructed from non-ricocheting, non-fragmenting and repairable materials. The HTT may utilize a product line ideology, where multiple configurations would be available, depending on the use-case. In addition, the HTT should be capable of the following:
PHASE I: Study, research, and develop an architectural framework solution. Synchronization of work being completed by RDECOM, PM ITTS, TACOM, PEO STRI and academia will be required. Determine feasibility of and conduct trade-off study (realism versus durability versus survivability) for material of target mannequin as well as falling and stand-up solutions. PHASE II: At the conclusion of Phase II, the system shall demonstrate:
At a minimum, the demonstration will be at a TRL 6. PHASE III DUAL USE APPLICATIONS: Military application: Transition technology to the Army Program called Future Army System of Integrated Targets (FASIT). Commercial applications include game play applications and law enforcement applications. REFERENCES: 1. Adapting Immersive Training Environments to Develop Squad Resilience Skills; Johnston, Joan; Napier, Samantha; Ross, William 2. CEHNC 1110-1-23 - U.S. Army Corps of Engineers Design Guide for the Sustainable Range Program 3. Field Manual (FM) 3-06, Urban Operations 4. PRF-PT-00468 Performance Specification for the Future Army System of Integrated Targets (FASIT) 5. Training Circular (TC) 25-8, Training Ranges KEYWORDS: Human Type Target; Non-contact hit sensor; FASIT
TECHNOLOGY AREA(S): Information Systems OBJECTIVE: Provide network-enabled casualty treatment device simulators for first-aid / buddy-aid during live training exercises. DESCRIPTION: The Army’s goal has always been to train as they fight. An unfortunate but unavoidable part of battle is injury – the military must prepare for wounds and afflictions of all sizes and severities. The Army’s Live Training Engagement Composition (LTEC) provides a common software core for future tactical engagement simulation systems (TESS) for simulating force-on-force engagement in a live training exercise. LTEC’s open architecture allows TESS’s to connect to the training network via a standardized interface and communicate with other devices. Realistic network-enabled casualty treatment training devices would benefit the Army in two respects: first, they’d better prepare soldiers by providing a more authentic experience while treating “injured” peers in a stressful battlefield environment – soldiers who are better-adjusted during these situations stand a much better chance of saving lives. Second, the sophistication of these devices could provide leadership with metrics to determine the effectiveness of medical training methods. PHASE I: The expected goal of a Phase I SBIR conducted under this effort is to: • Identify suitable soldier-level treatment tools to emulate • Design an LTEC-enabled training device physically similar in weight & dimensions to the treatment tool • Develop standard operating procedures for the device based on medical training doctrine PHASE II: After the scientific & technical merit of such a device is measured and approved, efforts during Phase II should include the development of prototypes of the devices designed in Phase I. Connectivity of such devices to an LTEC-enabled training network should be successful, as should the completion of simulated medical tasks according to Army medical training doctrine. PHASE III DUAL USE APPLICATIONS: In addition to potential Army and DoD customers the use of ITS by other governmental agencies is a rich market area. Law enforcement, disaster preparedness and response are just two such areas. Phase III (commercialization) efforts will be focused on driving down unit costs and implementing features useful for training first responders. REFERENCES: 1. http://www.ems1.com/careers/articles/1178735-The-difference-between-medic-and-army-medic-training/ 2. http://www.businessinsider.com/military-medic-gear-2014-6 KEYWORDS: Casualty, Training, Network-Enabled, Injury, Simulation
TECHNOLOGY AREA(S): Electronics The technology within this topic is restricted under the International Traffic in Arms Regulation (ITAR), which controls the export and import of defense-related material and services. Offerors must disclose any proposed use of foreign nationals, their country of origin, and what tasks each would accomplish in the statement of work in accordance with section 5.4.c.(8) of the Announcement. OBJECTIVE: To develop advanced image processing algorithms for the detection and tracking of small Unmanned Aerial Vehicles (UAVs) and Mortars in low Signal-to-Noise Ratio (SNR) and cluttered environments. DESCRIPTION: Many military weapon systems rely on passive thermal infrared sensors (MWIR/LWIR) for target detection and tracking. In many cases, the maximum detection range of these sensors are limited by the ability of the image processing algorithms to detect and extract a target of interest. Dim targets such as small Unmanned Aerial Vehicles (UAVs) and mortars are extremely difficult to detect and track due to the low contrast in the thermal imagery, or low signal-to-noise ratio (SNR). High clutter environments such as cloud or tree backgrounds also increase the difficulty in target detection and tracking. The challenge is to develop advanced image processing algorithms that can increase the maximum detection and tracking range against UAVs and mortars. The specific challenges to be addressed include: • Target Detection/Tracking at SNRs less than 3dB • Target Detection/Tracking in Cloud and Tree Backgrounds • Unresolved Target Detection/Tracking (target size less than 1 pixel) Targets to be used in the analysis include the DJI Phantom and a 60mm mortar. The proposed algorithms must be able to process imagery in near real-time to be applied to military applications (Threshold: 300Hz bandwidth, Objective: 1kHz bandwidth). The algorithms must be written so that multiple targets (Threshold: 1 target, Objective: 10 targets) can be detected and tracked at a time. If successful, advanced algorithms for target detection and tracking will benefit many military applications. The specific platform of interest for this topic is a ground-based High Energy Laser (HEL) weapon system. Typical HEL acquisition sensors employ a passive MWIR camera with a wide-field of view (3 degrees). The objective camera and lens for this topic is not specified. The offeror must include a demonstration system (camera, lens, etc.) for algorithm performance demonstration during Phase II. The proposed algorithm must address at least one or more of the three challenges of interest. PHASE I: The phase I effort will result in analysis and design of the proposed algorithm. The phase I effort shall include a final report with modeling and simulation results supporting performance claims. The method for determining SNR will be documented. PHASE II: The Phase I designs will be utilized to fabricate, test and evaluate a breadboard system. The designs will then be modified as necessary to produce a final prototype. The final prototype will be demonstrated to highlight the increased detection and tracking capabilities in challenging environments. A complete demonstration system (camera, lens, etc.) must also be provided by the offeror. Phase II will include field testing against a target of interest (ex: small UAV) to validate performance claims. PHASE III DUAL USE APPLICATIONS: Civil, commercial and military applications include short-range counter-RAM and UAV target tracking, remote sensing, and small-satellite tracking. High energy DoD laser weapons offer benefits of graduated lethality, rapid deployment to counter time-sensitive targets, and the ability to deliver significant force either at great distance or to nearby threats with high accuracy for minimal collateral damage. Future laser weapon applications will range from very high power devices used for air defense (to detect, track, and destroy incoming rockets, artillery, and mortars) to modest power devices used for counter-ISR. The Phase III effort would be to design and build a target detection/tracking processor that could be integrated into the Army’s High Energy Laser Mobile Tactical Truck (HEL-MTT) vehicle. Military funding for this Phase III effort would be executed by the US Army Space and Missile Defense Technical Center as part of its Directed Energy research. REFERENCES: 1. C. Gao, D. Meng, Y. Yang, Y. Wang “Infrared Patch-Image Model for Small Target Detection in a Single Image,” IEEE Trans. On Image Processing, Vol. 22, Issue 12, Sep 2013, Pages 4996-5009 2. K. Wang, Y. Liu, X. Sun “Small Moving Infrared Target Detection Algorithm under Low SNR Background,” Information Assurance and Security, 2009, IAS ’09, Vol 2, Aug 2009 3. S. Kim “Min-local-LoG filter for detecting small targets in cluttered background,” Electronics Letters, Vol 47, Issue 2, Pages 105-106 (2011) 4. X. Luo, X. Wu “A Novel Fusion Detection Algorithm for Infrared Small Targets,” Intelligent Information Technology Application, 2009. IITA 2009, Vol 3 (2009) KEYWORDS: Infrared Search and Track, IRST, Unmanned Aerial Vehicle, Mortar, Detection, Signal-to-noise ratio, Signal-to-clutter ratio, cloud background, unresolved target, image processing, algorithm
TECHNOLOGY AREA(S): Electronics The technology within this topic is restricted under the International Traffic in Arms Regulation (ITAR), which controls the export and import of defense-related material and services. Offerors must disclose any proposed use of foreign nationals, their country of origin, and what tasks each would accomplish in the statement of work in accordance with section 5.4.c.(8) of the Announcement. OBJECTIVE: To develop low-cost man-portable RF sensors with reduced Size, Weight and Power consumption (SWaP) for short-range target tracking in degraded visual environments in support of mobile Army tactical platforms. DESCRIPTION: Many military weapon systems rely on passive mid-wave infrared (MWIR) technology for wide-field of view acquisition and precision tracking of targets. These MWIR sensors were selected for operation in clear visibility conditions and provide performance margin down to hazy and light fog conditions, but are severely degraded under heavy fog, rain, snow, sand and dust storm conditions. Recent studies have shown that radio frequency (RF) sensors can perform the same functions as the MWIR sensors, but do not suffer the same performance losses in these degraded visual environments (DVEs). However, current RF technology is too expensive, too large and requires too much power to use as a replacement for these MWIR sensors. The challenge is to develop a truly low cost RF acquisition and tracking sensor with reduced Size, Weight and Power (SWaP). Performance examples are acquisition and tracking of Unmanned Aerial Vehicles (UAVs) and rockets, artillery and mortars (RAM) on the order of 5km or less in clear weather and DVEs. The proposed system must have a field of view and angular accuracy that would enabled replacement of a passive wide-FOV MWIR sensor (>3° FOV; <300 urad accuracy). Interferometers are preferred (in order to achieve the angular resolution needed), but other RF concepts will be considered. Because these RF sensors will be used to replace infrared cameras, which require very little SWaP, reducing the total system footprint is extremely important. Man-portability would be ideal. The proposed sensor must be capable of integration onto a mobile platform with other military capabilities such as a Stryker, and require minimal power that can be supplied through the vehicle’s on-board power system. For example, multiple small flat panel RF arrays can be integrated into the side of a tactical vehicle. If successful, low-cost reduced SWaP RF sensors would significantly benefit many military and commercial applications such as High Energy Laser weapon platforms, small-satellite tracking applications, and the commercial aviation industry. Requirements: - Detection Range (RAM & UAV) – T: 5km; O: 10km - FOV (Search Volume) - T: 3°; O: 90° - Angular Accuracy – T: 300urad; O: 30urad - Size & Weight – T: Mountable on Mobile Vehicle; O: Mountable on a Beam Director - Power Consumption – T: 1kW; O: 500W - Low-Cost PHASE I: The phase I effort will result in the analysis and design of new SWaP and cost reducing technologies for RF sensors. The selected RF sensor architecture, measures of expected performance and laboratory testing results will be documented in a final report. The phase I effort shall include modeling and simulation results supporting performance claims. PHASE II: The Phase I designs will be utilized to fabricate, test and evaluate a breadboard system. The designs will then be modified as necessary to produce a final prototype. The final prototype will be demonstrated to highlight the SWaP and cost reductions as well as acquisition and tracking performance parameters. PHASE III DUAL USE APPLICATIONS: Civil, commercial and military applications include short-range counter-RAM and UAV target tracking, remote sensing, small-satellite tracking, satellite communication, and other communication efforts. High energy DoD laser weapons offer benefits of graduated lethality, rapid deployment to counter time-sensitive targets, and the ability to deliver significant force either at great distance or to nearby threats with high accuracy for minimal collateral damage. Future laser weapon applications will range from very high power devices used for air defense (to detect, track, and destroy incoming rockets, artillery, and mortars) to modest power devices used for counter-ISR. The Phase III effort would be to design and build a low-cost reduced SWaP RF acquisition and tracking sensor that could be integrated into the Army’s High Energy Laser Mobile Tactical Truck (HEL-MTT) vehicle. Military funding for this Phase III effort would be executed by the US Army Space and Missile Defense Technical Center as part of its Directed Energy research. REFERENCES: 1. P. A. Isaksen, E. Lovli “Multi Pulse Sweep System A New Generation Radar System,” Radar 97, 14 - 16 October 1997, Publication No. 449, lEE 1997 2. D. M. Vavriv, V. A. Volkov, S. V. Sosnytskiy, A. V. Shevchenko, R. V. Kozhyn, A. A. Kravtsov, M. P. Vasilevskiy, D. I. Zaikin, “Development and Surveillance and Tracking Radar,” IEEE, Ultrawideband and Ultrashort Impulse Signals, 18-22 September, 2006, Sevastopol, Ukraine pp. 26-31 3. Yi-cheng Jiang, Chun-xi Yu, “A Novel Approach for Angle Measuring Improvement in Monopulse Tracking,” IEEE, Sixth International Conference on Fuzzy Systems and Knowledge Discovery, 2009 4. Y. Zhang, W. Zhai, X Zhang, X. Shi, X Gu, J. Jiang, “Moving target imaging by both Ka-band and Ku-band high-resolution Radars,” SAR Image Analysis, Modeling, and Techniques XI, Proc. of SPIE Vol. 8179, 81790R, 2011 5. H. Zhou, F. Aryanfar, “A Planar Ka-Band Phased Array with Configurable Polarizations,” IEEE, 978-1-4673-5317-5/13, Pg 1638-1639, AP-S 2013 6. Ann Marie Raynal*, Douglas L. Bickel, Michael M. Denton, Wallace J. Bow, Armin W. Doerryl, “Radar Cross Section Statistics of Ground Vehicles at Ku-band,” Radar Sensor Technology XV, Proc. of SPIE Vol. 8021, 80210E, 2010 7. D. W. Kang, J. G. Kim, B. W. Min, G. M. Rebeiz, “Single and Four-Element Ka-Band Transmit/Receive Phased-Array Silicon RFICs With 5-bit Amplitude and Phase Control,” IEEE TRANSACTIONS ON MICROWAVE THEORY AND TECHNIQUES, VOL. 57, NO. 12, DECEMBER 2009 8. A. J. Abumunshar, W. Yeo, N. K. Nahar, D. J. Hyman, and K. Sertel, “Tightly Coupled Ka-Band Phased Array Antenna with Integrated MEMS Phase Shifters,” IEEE, URSI 2014 9. B. W. Min, G. M. Rebeiz , “Single-Ended and Differential Ka-Band BiCMOS Phased Array Front-Ends,” IEEE JOURNAL OF SOLID-STATE CIRCUITS, VOL. 43, NO. 10, OCTOBER 2008 10. A. Vosoogh, K. Keyghobad, A. Khaleghi, S. Mansouri , “A High-Efficiency Ku-Band Reflectarray Antenna Using Single-Layer Multiresonance Elements,” IEEE ANTENNAS AND WIRELESS PROPAGATION LETTERS, VOL. 13, 2014 KEYWORDS: Phased Array; Interferometer; Flat Panel; Low Cost; Man Portable; Reduced SWaP; Acquisition; Fine Tracking
TECHNOLOGY AREA(S): Electronics The technology within this topic is restricted under the International Traffic in Arms Regulation (ITAR), which controls the export and import of defense-related material and services. Offerors must disclose any proposed use of foreign nationals, their country of origin, and what tasks each would accomplish in the statement of work in accordance with section 5.4.c.(8) of the Announcement. OBJECTIVE: To design and build a prototype pulsed laser in the 1550 nm wavelength region with variable pulse parameters of 500 Hz to 5 kHz and 50 mJ to 300 mJ. The pulse parameters shall be met such that the average power ranges between 150 and 250 Watts, or the 300 mJ pulse at 500 Hz and 50 mJ pulse at 5 kHz. The prototype laser must prove design capability. DESCRIPTION: Current state of the art tracking Illuminator lasers (TILs) are insufficient for a wide variety of expected high energy laser weapon system engagements. Success has been made in TIL technology in recent efforts, however, additional efforts are necessary to support a versatile tracking system capable of tracking a wide dynamic range of engagements. Targets at close range require a faster pulse duration and less energy per pulse than long range targets. A TIL with variable pulse parameters is desired to achieve constant radiometric conditions in the return scattered light from a target to a tracking sensor. Pulsed Tracking Illuminator Lasers (TILs) are an integral element of a directed energy targeting and tracking system (TTS). The versatility of the TIL for target detection, target identification, pose estimation 3D LIDAR and aim point tracking requires a pulsed laser with variable performance parameters that at present are not available in any pulsed laser architecture, especially in the spectral region between 1.48-1.62 microns. TIL wavelengths must be capable of transmitting through the atmosphere with minimum absorption. The TIL must operate over a broad pulse repetition rate range (500Hz-5kHz). The TIL shall also have variable energy per pulse that coincide with the repetition rate such tracking sensors with limited adaptive gain detect close to the same light scattered from near and far targets. The laser must be capable of generating high pulse energies of 300mJ at the lower rep rates and maintain a reasonable pulse energy output of 50mJ at the higher rep rates. Versatility in pulse width is desired to maintain the ability of this laser to use in a LIDAR system where the pulse width needs to be between 1 ns and 10 ns, while the higher pulse energies required may need 50nsec pulse widths to achieve 300mJ pulse energies. A critical performance requirement for the TIL is a short coherence length in order to minimize speckle at the target. Directory: osbp -> sbir -> solicitations -> sbir20171 solicitations -> Army 14. 1 Small Business Innovation Research (sbir) Proposal Submission Instructions solicitations -> Navy small business innovation research program submitting Proposals on Navy Topics solicitations -> Navy small business innovation research program solicitations -> Armament research, development and engineering center solicitations -> Navy 11. 3 Small Business Innovation Research (sbir) Proposal Submission Instructions solicitations -> Department of the navy (don) 16. 2 Small Business Innovation Research (sbir) Proposal Submission Instructions introduction sbir20171 -> Air force 17. 1 Small Business Innovation Research (sbir) Phase I proposal Submission Instructions sbir20171 -> Department of the navy (don) 17. 1 Small Business Innovation Research (sbir) Proposal Submission Instructions introduction sbir20171 -> Department of the navy (don) 17. 1 Small Business Innovation Research (sbir) Proposal Submission Instructions introduction Download 1.01 Mb. Share with your friends:
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