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Found 11 papers, 3 papers with code
Static Background Removal in Vehicular Radar: Filtering in Azimuth-Elevation-Doppler Domain
Our proposed algorithm follows a three-step approach: a) preprocessing of back-scattered received radar signal for 4-dimensional (4D) point clouds generation, b) 3-dimensional (3D) radar ego-motion estimation, and c) notch filter-based background removal in the azimuth-elevation-Doppler domain.
Mutual Interference Mitigation for MIMO-FMCW Automotive Radar
We also derive analytical closed-form expressions for probabilities of detection and false alarm.
Multi-Access Point Coordination for Next-Gen Wi-Fi Networks Aided by Deep Reinforcement Learning
Meanwhile, a deep reinforcement learning channel access (DLCA) protocol is developed to replace the binary exponential backoff mechanism in DCF to enhance the network throughput by enabling the coordination of APs.
Efficient PHY Layer Abstraction under Imperfect Channel Estimation
As most existing work investigate the PHY layer abstraction under an assumption of perfect channel estimation, it may become unreliable if there exists channel estimation error in a real communication system.
Learning to Detect Open Carry and Concealed Object with 77GHz Radar
Detecting harmful carried objects plays a key role in intelligent surveillance systems and has widespread applications, for example, in airport security.
Perception Through 2D-MIMO FMCW Automotive Radar Under Adverse Weather
Millimeter-wave (mmWave) radars are being increasingly integrated in commercial vehicles to support new Adaptive Driver Assisted Systems (ADAS) features that require accurate location and Doppler velocity estimates of objects, independent of environmental conditions.
MIMO-SAR: A Hierarchical High-resolution Imaging Algorithm for mmWave FMCW Radar in Autonomous Driving
Millimeter-wave radars are being increasingly integrated into commercial vehicles to support advanced driver-assistance system features.
RAMP-CNN: A Novel Neural Network for Enhanced Automotive Radar Object Recognition
Millimeter-wave radars are being increasingly integrated into commercial vehicles to support new advanced driver-assistance systems by enabling robust and high-performance object detection, localization, as well as recognition - a key component of new environmental perception.
Experiments with mmWave Automotive Radar Test-bed
Millimeter-wave (mmW) radars are being increasingly integrated in commercial vehicles to support new Adaptive Driver Assisted Systems (ADAS) for its ability to provide high accuracy location, velocity, and angle estimates of objects, largely independent of environmental conditions.
Absolving the SSINS of Precision Interferometric Radio Data: A New Technique for Mitigating Faint Radio Frequency Interference
We introduce a new pipeline for analyzing and mitigating radio frequency interference (RFI), which we call Sky-Subtracted Incoherent Noise Spectra (SSINS).
Instrumentation and Methods for Astrophysics Cosmology and Nongalactic Astrophysics
Offline Extraction of Indic Regional Language from Natural Scene Image using Text Segmentation and Deep Convolutional Sequence
Regional language extraction from a natural scene image is always a challenging proposition due to its dependence on the text information extracted from Image.
