Award Data

The first sentinel of ABL’s present target acquisition suite is a passive infrared search and track sensor of 1970s vintage, which we propose replacing with HyPAWS. HyPAWS is a low-cost passive wide-field of view staring sensor. Several such units suffice to provide full 360-degree view coverage. Leveraging revolutionary sensing techniques in ongoing development, HyPAWS offers advanced detect ...

The TSC team proposes to develop a new generalized Space-Time Adaptive Processing (Generalized STAP) algorithm that discriminates among classes of scatterers. The new generalized formalism is applied to the problem of 3D ISAR imaging of the reentry vehicle (RV) or another object in the ballistic missile threat complex that suppresses radar dipole clutter, using multiple ground-based radars operat ...

The insider threat remains one of the most difficult to detect -- left alone to mitigate -- threats against information systems. The overall objective of the effort (Phase I and Phase II) is to produce and prototype a Distributed Insider Threat Detection System (DITDS) for distributed environments, capable of identifying and quantifying emerging insider threats against the network, allowing for t ...

A critical aspect of exoskeleton control that has to date introduced a performance limitation is the ability of the exoskeleton to recognize the intent of the operator so it can apply assistance to their desired motion. This intent recognition effort is typically solved using ad-hoc methods where subject matter experts make design decisions and tune transitions to identify intended maneuvers as re ...

Our proposed second order uncertainty (SOU) product is a decision making software solution that addresses the problem of providing accurate and precisely defined decision courses of action (COAs) of complex, time-constrained problems in a fraction of the time required by alternative methods striving to achieve the same level of precision. Complex decision situations can deal with large volume of ...

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 ...

It is proposed to investigate an innovative mitigation technique for insensitive munitions through a new rocket motor case design. The proposed study will focus upon developing a motor case with sympathetic responses to unplanned thermal stimuli. This particular motor case design will be according to current operating mission parameters for a specific MDA rocket booster.

This Phase-I STTR MDA Proposal proposes the use of a new class of diamond-seeded solid-state material system for the manufacture of virtually all heat-generating solid-state electronics in X-band and Ballistic Missile Defense radar components and systems. In this proposal wherein much preliminary (DARPA- and MDA-funded) work has been demonstrated hitherto by the authors, all or most of the basic s ...

We propose a novel computational framework for discrimination that incorporates sensor data from observations of the engagement and from kill assessment (KA) that such sensors can provide. The KA information is combined with data from other sensors to improve the discrimination decision and to reduce the probability of correlated shots. Approved for Public Release 16-MDA-8620 (1 April 16)

The goal of this program is to design a lightweight optical bench capable of remaining stable under temperature and moisture changes, while isolating the precision optical array from vibrations such as engine noise and air turbulence. By integrating a customizable periodic stack in the bench, vibrations are attenuated more effectively than commercially available mounts. Additionally, the periodic ...