Theme 1 Objective
Advancing the capability of mm-wave MIMO radar, passive imaging, and lidar hardware to achieve sensor convergence with adaptation for energy-efficient feature detection.
Goals
- Reduce Power MIMO front – end hardware for sensing
- Combine mm-wave radar, lidar, and passive sensing
- Adopt hybrid analog/digital waveform techniques for power trade space
- Adapt front-end circuitry power for task – specific dynamic range
Task 1.1: Energy Efficient Radar for Sub-Terahertz Bands
Objectives: Invent adaptable transmitter and receiver circuit that reduce the power consumption of the radar for a given set of arbitrary features in over a wide FOV.
Task 1.2: Multi-Wavelength Optical LiDAR
Objectives: Develop and demonstrate adaptable integrated LiDAR sensors and optical phased arrays (OPAs) based on silicon photonics.
Task 1.3: Mm-Wave/THz Passive Imaging
Objectives: Develop holistic noise suppression and signal-to-noise ratio (SNR) enhancement schemes to significantly reduce response time and coherent array based passive imaging to enhance sensing range.
Task 1.4: Feature-Extracting RADAR Front-ends
Objectives: Build efficient receiver front ends to isolate strong features/interference for enhanced dynamic range.
Task 1.5: Converged Radar and Lidar Receiver Array in Low-cost Packaging
