Award Data

YTP will develop technology that provides a high performance, modular Li-ion battery with: redundant safety features, safer thin, metal case cell designs; fin/micro-channel thermal control system; and an evaporating fluid system that rapidly quenches failing cells to prevent thermal runaway and fratricide. The end goal of the proposal is making a lighter, longer lasting, less expensive, safer JSF ...

We propose a Phase I analysis of Signals of Opportunity (SOO), including Magnetic Velocity and Position (MVP) sensing, breakthrough passive geo-referenced navigation technology. MVP leverages classical electromagnetics to determine velocity and position with GPS-level accuracy at any depth or distance from shore. In addition to the SOO analysis, Phase I effort will conduct 3D electromagnetic mod ...

ABSTRACT: Corvid Technologies, in partnership with Clemson University"s combustion modeling group, is pleased to offer a physical sub-model evaluation and development plan for turbulent combustion applications relevant to the Air Force. We will leverage the computational resources and combustion modeling expertise from both parties to evaluate the current state of combustion modeling and then tra ...

ABSTRACT: The effectiveness of adaptive training systems has been repeatedly demonstrated. However, to foster widespread adoption, tools are needed to reduce the level of effort and cost associated with development and sustainment. To respond to this challenge, Sonalysts proposes to develop the Rapid Adaptive Coaching Environment (RACE). Using a guided authoring and maintenance approach, RACE ...

ABSTRACT: The ultimate goal of this SBIR is to provide the Air Force and more specifically, the DMO-S community, with a way to connect the DMON to multiple AFSPC simulated operational environments to support DMO-S exercise activities. Sonalysts proposes to develop a DMO-SST gateway to integrate each SST operational emulator to support DMO-S global exercises. The fielded technical solution will ...

ABSTRACT: The Phase II program will develop and mature a new salient physics-driven solution for CID feature design and classification to support onboard CID and decision fusion for remotely piloted vehicles. Saliency analysis will be used to develop databases of compact, simple geometric features derived from known, discriminative, and robust scattering physics. A new Bayesian probabilistic cla ...

ABSTRACT: The Sonalysts team proposes to develop a solution that facilitates the flow of data between different levels of classification while improving and ensuring both security and data integrity. Our approach involves a set of protocols that provide a unique and disruptive combination of multichannel data dispersion and multi-classification data management techniques to meet our objectives. ...

The implications of the proposed investigations are that radar systems already implemented for the automotive industry can be exploited, adapted and optimized for this application. These radar systems are inexpensive, of small size, employ advanced processing techniques which allow the tracking of threat targets, transmit low average power (10 milliwatts) and are proven to be people safe. We will ...

The DoD is facing significant challenges in training Remotely Piloted Aircraft (RPA) crews. At the same time that the popularity of RPAs is increasing and the need for qualified crews is skyrocketing, airspace restrictions and limitations in simulators are making it increasingly difficult to offer effective training opportunities. To help the DoD meet these challenges, Sonalysts and our teammates ...

ABSTRACT: The Air Force has invested considerable resources into collecting and synthesizing radar data for training and testing ATC/R systems. Significant cost savings may be realized if these existing datasets may be leveraged for training new sensors and modalities. Signal Innovations Group offers a new paradigm for automatically identifying statistically salient features for ATR systems fro ...