Multifunction radar systems have evolved to perform a host of tasks from surveillance to target tracking, realising complex electronic support measures with high precision. At the heart of these ...
Space-Time Adaptive Processing (STAP) has emerged as a pivotal technique in enhancing the performance of modern airborne radar systems through the simultaneous exploitation of spatial and temporal ...
Emerging radar and signal processing technology is enabling Navy surface ships to achieve a ground-breaking measure of radar-detection range and precision--all while enabling ship defense systems to ...
The Flexible Distributed Array Radar, or FlexDAR, combines digital beam forming, network coordination and precise time synchronization to perform multiple missions at the same time, with a single ...
Automation in automotive electronics has driven the next leap of innovation in transportation, fueled by a fundamental premise: In automotive applications, vehicles must be able to sense their ...
Engineers have developed a new signal analysis technology that enhances radar range resolution and is applicable to various radar systems. The joint research team led by Sangdong Kim and Bongseok Kim ...
A new technical paper titled “Signal processing architecture for a trustworthy 77GHz MIMO Radar” was published by researchers at Fraunhofer FHR, Ruhr University Bochum, and Wavesense Dresden GmbH.
How self-driving cars are adding new capabilities as they move from Layer 2 (L2) to L2+ and beyond. How automotive radar systems are designed, and what this means for processors and other components.
An introduction to Amberella’s 4D Imaging Radar System. Details regarding the system’s features and software. Autonomous vehicles and robots rely on radar to detect its surrounding environment with ...
WILMINGTON, Mass. & SAN DIEGO--(BUSINESS WIRE)--Analog Devices, Inc. (Nasdaq: ADI) today announced Apollo MxFE, its most advanced software-defined, direct RF-sampling, wideband mixed signal front end ...
Advanced driver-assistance systems (ADAS) and autonomous-driving technologies rely heavily on sensors, including LiDAR, radar and cameras. Recently, there have been significant advancements in these ...