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Found 9 papers, 0 papers with code
Index Modulation for Integrated Sensing and Communications: A Signal Processing Perspective
A joint design of both sensing and communication can lead to substantial enhancement for both subsystems in terms of size, cost as well as spectrum and hardware efficiency.
Sparse Array Capon Beamformer Design Availing Deep Learning
The paper considers sparse array design for receive beamforming achieving maximum signal-to-interference plus noise ratio (MaxSINR).
Cognitive-Driven Optimization of Sparse Array Transceiver for MIMO Radar Beamforming
Cognitive multiple-input multiple-output (MIMO) radar is capable of adjusting system parameters adaptively by sensing and learning in complex dynamic environment.
Sparse Array Transceiver Design for Enhanced Adaptive Beamforming in MIMO Radar
The proposed approach entails an entwined design, i. e., jointly selecting the optimum transmit and receive sensor locations for accomplishing MaxSINR receive beamforming.
Efficient Near-Field Imaging Using Cylindrical MIMO Arrays
Multiple-input multiple-output (MIMO) array based millimeter-wave (MMW) imaging has a tangible prospect in applications of concealed weapons detection.
RF Sensing for Continuous Monitoring of Human Activities for Home Consumer Applications
Radar for indoor monitoring is an emerging area of research and development, covering and supporting different health and wellbeing applications of smart homes, assisted living, and medical diagnosis.
Motion Classification using Kinematically Sifted ACGAN-Synthesized Radar Micro-Doppler Signatures
The synthetic dataset is used to train a 19-layer deep convolutional neural network (DCNN) to classify micro-Doppler signatures acquired from an environment different from that of the dataset supplied to the adversarial network.
Radar Human Motion Recognition Using Motion States and Two-Way Classifications
We perform classification of activities of daily living (ADL) using a Frequency-Modulated Continuous Waveform (FMCW) radar.
Hand Gesture Recognition based on Radar Micro-Doppler Signature Envelopes
We introduce a simple but effective technique in automatic hand gesture recognition using radar.
