Award Data

The recent success of ultra-high speed direct digital synthesizers (DDS) provides excellent solutions to waveform generation directly at radar bands. An arbitrary waveform generators operating at clock frequency close to 52 Gs/s with bandwidth greater than 26 GHz and dynamic range close to 80 dB would greatly improve transmitter performance for applications such as telemetry and multi-purpose RF s ...

ABSTRACT: During Phase I, PaneraTech in partnership with UCLA-TANMS (NSF Center for Translational Applications of Nanoscale Multiferroic Systems) achieved a groundbreaking success by designing a multiferroic small antenna based on continuous spin rotation in ferromagnetic nanoelements in periodic electrode array patterns. Specifically, we developed Finite Elements Method (FEM) models to design nan ...

This work will focus on the development of monolithic SWIR focal plane array technologies using CMOS or CMOS compatible fabrication technology. This will be realized on a Silicon substrate and incorporate APD+TIA arrays and be scalable to Megapixel arrays and coherent receiver operation for capture of the full optical wavefront vector information.

Liquid Crystal Arrayed Microcavities (LCAM) are a new hyperspectral technology initiated by collaboration among Spectral Molecular Imaging, Advanced Microcavity Sensors and Montana State University Spectrum Laboratory.At the core of this revolutionary technology lie picoliter volume optical cavities that exploit liquid crystal birefringence for tuning an effective cavity length.During a Phase I on ...

High-performance low-latency image processing is needed in next-generation DoD vision systems. In LLEVS Phase II, we bring low-latency digital imaging and future fusion applications to the warfighter, in a scalable small-SWaP product footprint leveraging COTS technology.We have a very detailed LLEVS FPGA design resulting from our Phase I efforts. We understand the entire critical path of the desig ...

U.S. forces are benefiting from automation systems of unprecedented sophistication, empowered by advances in artificial intelligence (AI) and human-systems interaction. In air combat operations, onboard intelligent assistants monitor the aircraft, interpret and carry out commands, and report aircraft and system status, mission progress, threats and alerts. Because pilots and agents are part of a n ...

Speech data corrupted by reverberation, especially in combination with noise, has a drastically negative effect on the performance of speaker identification algorithms. Current approaches to the removal of reverb and noise rely on specific knowledge of room characteristics causing the reverb.The team of In-Depth Engineering and the University of Maryland propose to apply an innovative, generalized ...

Echo Ridge proposes to prototype and demonstrate an architecture and key algorithms to support spectrum sharing for Position, Navigation, and Timing (PNT) that focuses on spectrally congested and high likelihood operational scenarios. Four key results are proposed to be delivered: 1) end-to-end Hardware-in-the-Loop (HiTL) lab demonstration of all segments of the solution in Air Force-relevant oper ...

Unmanned aircraft systems (UAS) are increasingly seen as a cornerstone in developing the future Defense infrastructure and it is critical that they collaborate efficiently and execute complex missions in denied environments. Although great progress has been made in GPS-denied navigation, the target handoff problem in GPS-denied environments has not been extensively studied. In this problem, a trac ...

Toyon Research Corp. and the Penn State Univ. propose research and development of innovative algorithms for classifying objects and activities observed in high-dimensional data extracted from multi-sensor motion imagery. The proposed algorithms include novel feature clustering techniques to enable effective characterization of intra-class and inter-class appearance variations in datasets containin ...