Radarskin
Intelligentes robustes 320 GHz Radar-Edge-Sensornetzwerk
Intelligent robust 320 GHz radar edge sensor network
(Third Party Funds Group – Overall project)
Title of the overall project:
Project start: 01/07/2022
Acronym: RadarSkin
Funders: BMBF / Verbundprojekt
Abstract
MOTIVATION
The increasing number of networked devices and sensors, the "Internet of Things" (IoT), enables diverse and new applications. However, it also ensures a rapidly growing amount of data. Processing data at its point of origin (edge computing) helps to deal with it efficiently. Edge computing strengthens the functionality, sustainability, trustworthiness and cost-effectiveness of electronic applications through the use of artificial intelligence and networking. The goal of the OCTOPUS projects is to provide application-specific highly innovative electronics to unlock these benefits.
OBJECTIVES AND APPROACH
The goal of the project is to develop radar sensors that can act as artificial sensory organs. The measurement frequency of 320 GHz enables high resolution. It is achieved by a new 90 nm BiCMOS semiconductor fabrication process. Basic circuitry, antenna concepts, and a 160 GHz communication interface for the radar modules are being explored. Attached to objects in large numbers and networked with each other, the sensors form a protective shell that can perceive its environment with the help of intelligent algorithms. The sensor data is distributed and processed in an energy-efficient manner both in the radar modules and in a central computing system. Data compression methods are also being developed for efficient data exchange. The functionality is being tested using automotive scenarios.
INNOVATIONS AND PERSPECTIVES
The protective shell represents a "radar skin" as an artificial sensory organ and holds high potential for future autonomously acting systems such as unmanned vehicles, drones, industrial or household robots. This will allow them to move around in the human environment and interact safely with humans as well as with other autonomous systems.
Publications
2024
Data Compression for Close-Range Radar Imaging
In: IEEE Transactions on Radar Systems 1 (2024), p. 421-433
ISSN: 2832-7357
DOI: 10.1109/TRS.2024.3387288
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