Award Data

The Missile Defense Agency (MDA) advanced technology microsat missions require secure space-to-ground data and space-to-space links. Present day spacecraft cryptology devices were not designed for small satellite or responsive space use, and as a result, this has a significant impact on the performance and cost of the mission. Today's responsive and affordable missions require an NSA approved Type ...

We will develop a life model for a battery consisting of twenty-four 15 Ah cells connected in a mixed series and parallel configuration. The battery life model will be used to provide high fidelity predictions of the charge and discharge performance of each individual cell in a battery over an extended battery life time. Testing will account for variables such as non-uniform cell temperatures, unb ...

The MTS system will encompass a conical target payload that will provide a threat representative radar return. This target will be an inflatable structure, which will be packaged around the exterior of the spacecraft bus and within the ESPA ring volume allotment. The payload will use the work hardening of aluminum to rigidize the shape upon deployment and inflation to its final shape. Inside th ...

This Phase-II STTR proposal proposes the use of a new class of diamond-seeded solid-state material system for the manufacture of virtually all packaged intense heat-generating solid-state electronics in X-band and Ballistic Missile Defense radar components and systems. In this proposal wherein much preliminary (also MDA-funded) work has been demonstrated hitherto by the authors, Gallium Nitride-on ...

In Phase I, TSC and the University of Arizona developed a new generalized Space-Time Adaptive Processing (Generalized STAP) algorithm that discriminates among classes of scatterers that move on generalized space-time paths. The new formalism was applied to three-dimensional (3D) imaging of objects in the missile threat complex while suppressing radar dipole clutter by means of adaptive complex we ...

Overhead Persistent Infrared (OPIR) platforms observe challenging threat and scene phenomenology. Toyon Research Corporation developed an image processing framework for clutter estimation/suppression and track-before-detect to jointly detect and track targets. The Target Extraction and Conjoint Tracking application, developed under initial Phase II funding and demonstrated using real-world data so ...

ExoAnalytic Solutions is developing DEEPR (Deep Learning with Whole-Scene Contextual Reasoning for Object Characterization), an advanced multi-sensor multi-object classifier for integrated object characterization. The overall objective of DEEPR is to develop a suite of advanced, novel techniques that combine innovative advances in deep, hierarchical machine learning together with recurrent Deep L ...

Improving capabilities of telemetry systems for next generation e.g. (MOKV) missile defense launch vehicles, kill vehicles, and test/target vehicles subsystems can transform operational testing of such systems and has the potential to increase capabilities of systems that rely on radio communications. As these systems, and their test scenarios become get more complex they will require unprecedente ...

The multidisciplinary area of GEOINT is changing and becoming more complex. A major driver of innovation in GEOINT collection and processing is artificial intelligence (AI). AI is being leveraged to help accomplish spatial analysis, change detection, and image or video triage tasks where filtering objects of interest from large volumes of data is critical. NGA is confronting the changing GEOINT l ...

As the orbital space around the earth gets more and more crowded with civilian and military reconnaissance, weather, tracking, communication, and navigation satellites - civilian and military users become increasingly dependent on the services provided by these spacecraft. This situation increases the possibility of offense actions against some or all of these spacecraft. The possibility calls for ...