Award Data

Missile defense takes place in an uncertain and dynamic environment, so multi-sensor fusion must be employed to aggregate and merge disparate data from the battlefield. However, the fusion process is hindered by the vast amount of uncertainty in operational contexts, such as imprecise measurements and varying environmental conditions. Various algorithms and fusion processes have been developed to ...

We are proposing adding several enhancements to this new version of the Multi-Frame Probabilistic Multi-Hypothesis Tracker (MF-PMHT) in order to ready it for testing in the Ballistic Missile Defense (BMD) Benchmark and the X-Lab. During this effort a working prototype will be developed that will include multiple models, track management (initiation, deletion, splitting, and merging), covariance c ...

The MDA is in need of a robust, holistic Electronics Health Monitoring (EHM) solution that can address mission readiness concerns. Nokomis solution to this problem provides unique information to operators and maintainers and a more complete picture of component readiness. Nokomis novel methodologies for determining device health, whereby changes in unintended RF emissions signatures are leverage ...

It is proposed to develop, model, and demonstrate composite case materials with sympathetic responses to slow cookoff. In phase II, the proposed study will focus upon conducting subscale SCO testing on composite case materials and validate a physics based modeling and simulation tool. Subscale motor case dimensions will be analogue to a specific MDA rocket booster.

This Small Business Technology Transfer project will develop a mathematical framework and enabling technologies for context-aware target classification and selection for missile defense systems in the presence of counter-measures and clutter in realistic scenarios. Based on statistical relationship learning (SRL) methodology, the proposed framework can reason simultaneously about multiple entries ...

The proposed effort will develop a new approach to characterize and analyze multiple-sensor decision making under uncertainty. The major focus will be on the decision architecture involving multiple Ballistic Missile Defense (BMD) elements and the evaluation of the performance of various decision architectures for ballistic missile object discrimination. The proposed method will provide a well-d ...

Combining information from disparate sensors can lead to better situational awareness and improved inference performance; unfortunately, traditional multi-sensor fusion cannot capture complex dependencies among different objects in a scene, nor can it exploit context to further boost performance. Integrating context information within a fusion architecture to reason cohesively about scenes of inte ...

Industry needs a high-fidelity propulsion modeling and simulation capability for Insensitive Munitions (IM) hazard analysis in order to quantify the trade space for performance vs. safety. Full-scale testing of large propulsion systems (greater than 20 inch diameter) is too costly and more importantly, not practical due to lack of sufficiently large instrumented test facilities. Currently DoD/OUSD ...

In order to provide the required simulation frame rates we propose to decouple the incident flux calculations from a simple thermal response model. We propose to develop a table-lookup methodology based on high fidelity precomputed environmental and eventually aerothermal fluxes which can be draw in real time to drive the thermal response model. A simple 1-D thermal calculation based on an analyt ...

An innovative, super-miniature, fast-switching array-based photonic time delay device is being developed for the active electronically scanned-array (AESA) MDA and Navy radars. The design is based on the fast electro-optic effect, the super miniature fiber-lens collimation array, and the existing WDM photonic true time delay technologies. In Phase I Agiltron has successfully demonstrated the core ...