Sandia Labs FY22 Laboratory Directed Research & Development Annual Report

FY22 ANNUAL REPORT

NEW 2.5D NEUROMORPHIC DISCOVERY PLATFORM WILL ENABLE AI-ENHANCED CO-DESIGN. Novel material and device concepts previously took years for iteration. Discoveries in this LDRD project will now allow them to be iterated on in weeks thanks to a new easy

microelectronics co-design software, CrossSim 2.0 , a GPU-accelerated, Python-based crossbar simulator that allows researchers to take experimental data from the discovery platform and immediately model system level performance for sensor processing mission applications. A strong relationship with Arizona State University and a

fabrication substrate platform for novel devices. The team designed and taped out a microelectronics discovery platform or a “lab-on-a-chip” that has high-speed pulsing and high-resolution sensing that permits researchers

partnership with former Sandian, Matt Marinella, is providing a talent pipeline

to gauge fundamental limits of atomic switching in novel microelectronic devices including ECRAM and ReRAM. Additionally, the team released an updated

to multiple U.S. citizen students working on microelectronics co design. (PI: Sapan Agarwal)

AI-enhanced co-design will be enabled through Sandia’s 2.5D neuromorphic discovery platform.

TWITCHER: MOTOR DITHER CORRELATION FOR THE SURVIVAL OF GLOBAL NAVIGATION SATELLITE SYSTEM SPOOFING ATTACKS. Global navigation satellite system (GNSS) receivers are vulnerable to deception jamming attacks

through modification to GNSS receivers: (1) a Constellation Binner tracks duplicate peaks that purport themselves to be the same signal, and then organizes those signals into unique position solutions, and (2) a Jitter detector identifies which signal is true and which is false. The Constellation Binner has been validated in anechoic chamber

(e.g., spoofers, repeaters), that inject false signals into receivers to change perceived position and time. In this LDRD, Sandia researchers developed a methodology of defending GNSS receivers from complex deception jamming attacks

tests on a hardware platform to produce two position solutions from a GPS receiver in the event of spoofer attacks, and both solutions can be parsed through

various spoofer detection algorithms to identify true and spoofed solutions. (PI: Connor Brashar)

Geometric mapping of candidate scores

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