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SBC: MAXENTRIC TECHNOLOGIES LLC Topic: AF18AT015
To meet the requirements of the AF18A-T015 solicitation, MaXentric and University of California San Diego are proposing the development of a low loss, high linearity capacitor. The tunable capacitor target is a compact integrated design, capable of a tuning range up to 4:1, with a minimum Q of 80 at 4 GHz, and handling up to 20W CW. During phase I, UCSD studied a novel varactor structure to improv ...STTR Phase II 2019 Department of DefenseAir Force
SBC: Quinc.tech Inc. Topic: AF18AT001
The Biomagnetics Micro Dosimetry System (BMDS) program will design, model, and simulate a microdosimetry system that can measure and create a three dimensional map of weak radiofrequency signals in biological organisms. The heart of the BMDS project is the front end that delivers very sensitive, broad band measurements with high spatial resolution. The front end is a valuable tool in the investiga ...STTR Phase II 2019 Department of DefenseAir Force
SBC: NUTRONICS, INC. Topic: AF18AT006
Through the execution of our Phase 1 effort, Nutronics, Inc. and Montana State University developed an improved means to optimize the Pellizzarri cost functional for coherent imaging using digital holography. Our algorithm developed during the Phase 1 effort accelerates convergence times by a factor of 20-40 for the majority of scenarios evaluated. Our proposed Phase 2 effort has a two-fold focus: ...STTR Phase II 2019 Department of DefenseAir Force
SBC: POLARIS SENSOR TECHNOLOGIES INC Topic: AF18AT007
The Phase II effort will be to clearly demonstrate the feasibility and build a prototype of a noncontact, high-quality holographic polarimetry system with pixel level depth and Mueller matrix information with a user-friendly interface to image and display this data. The measurements of each data product will be validated with trusted truth samples. The system will be reproducible and will have a d ...STTR Phase II 2019 Department of DefenseAir Force
SBC: Data Fusion & Neural Networks, LLC Topic: AF17CT02
The problem addressed in this effort is to automatically learn historical ephemeris space catalog time, position, and velocity entity track update error uncertainties (i.e., without track error covariances) and to automatically (e.g., without expert event labeling) produce: â€“ unmodeled non-gravitational space catalog update flags â€“ abnormal unmodeled catalog update flags with abnorma ...STTR Phase II 2019 Department of DefenseAir Force