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Advancements in DroneRF Surveillance - Circuit Cellar

Drones have proven to be invaluable tools for surveillance across a multitude of industries. In the realm of RF surveillance, drones equipped with specialized sensors and SDRs can intercept and analyze wireless signals emitted from various sources. ....

Wide Tuning Range Software , Harnessing High Bandwidth , Wide Tuning Range Software Defined Radios , Signal Detection , Time Analysis , Per Vices Cyan ,

Development of a bionic interface for high-precision controlling of robotic arms and legs accomplished by Professor Sanghoon Lee's team at DGIST! Expected to improve quality of life for amputee patients

Development of a bionic interface for high-precision controlling of robotic arms and legs accomplished by Professor Sanghoon Lee's team at DGIST! Expected to improve quality of life for amputee patients
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South Korea , Sanghoon Lee , Kuk Yang , Asan Medical Center Plastic Surgery Team , Department Of Robotics , Professor Sanghoon Lee , Mechatronics Engineering , President Kuk Yang , Korea Medical Device Development Fund , Signal Detection , Intuitive Control , Robotic Limbs , Asan Medical Center , Plastic Surgery ,

"Blind Grant-Free Random Access with Message Passing Based Matrix Facto" by Zhengdao Yuan, Fei Liu et al.

Grant-free random access is promising in achieving massive connectivity with sporadic transmissions in massive machine type communications (mMTC) for internet of things (IoT) applications, where the hand-shaking between the access point (AP) and users is skipped, leading to high multiple access efficiency. In grant-free random access, the AP needs to identify the active users and perform channel estimation and signal detection. Conventionally, pilot signals are required for the AP to achieve user activity detection and channel estimation before active user signal detection, which may still result in substantial overhead and latency. In this paper, to further reduce the overhead and latency, we investigate the problem of grant-free random access without the use of pilot signals in a millimeter wave (mmWave) multiple input and multiple output (MIMO) system, where the AP performs blind joint user activity detection, channel estimation and signal detection (UACESD). We show that the blind ....

Approximate Message Passing , Channel Estimation , Covariance Matrices , Rant Free Random Access , Nternet Of Things , Massive Machine Type Communications , Message Passing , Illimeter Wave Communication , Millimeter Wave Communications , Imo Communication , Signal Detection , Ser Activity Detection ,