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Found 14 papers, 0 papers with code
Bistatic Doppler Frequency Estimation with Asynchronous Moving Devices for Integrated Sensing and Communications
In this letter, we present for the first time a method to estimate the bistatic Doppler frequency of a target with clock asynchronous and mobile Integrated Sensing And Communication (ISAC) devices.
Sensing in Bi-Static ISAC Systems with Clock Asynchronism: A Signal Processing Perspective
Integrated Sensing and Communications (ISAC) has been identified as a pillar usage scenario for the impending 6G era.
Learned Spike Encoding of the Channel Response for Low-Power Environment Sensing
We underline that existing spike encoding algorithms to do so generally produce inaccurate signal representations and dense (i. e., inefficient) spike trains.
An Experimental Prototype for Multistatic Asynchronous ISAC
We prototype and validate a multistatic mmWave ISAC system based on IEEE802. 11ay.
Attention-Refined Unrolling for Sparse Sequential micro-Doppler Reconstruction
Remarkably, STAR enables human activity recognition with satisfactory accuracy even with 90% of missing channel measurements, for which existing techniques fail.
DISC: a Dataset for Integrated Sensing and Communication in mmWave Systems
In this paper we present DISC, a dataset of millimeter-wave channel impulse response measurements for integrated human activity sensing and communication.
JUMP: Joint communication and sensing with Unsynchronized transceivers Made Practical
We present JUMP, the first system enabling practical bistatic and asynchronous joint communication and sensing, while achieving accurate target tracking and micro-Doppler extraction in realistic conditions.
ORACLE: Occlusion-Resilient and Self-Calibrating mmWave Radar Network for People Tracking
In this work, we present ORACLE, an autonomous system that (i) integrates automatic relative position and orientation estimation from multiple radar devices by exploiting the trajectories of people moving freely in the radars' common fields of view, and (ii) fuses the tracking information from multiple radars to obtain a unified tracking among all sensors.
SPARCS: A Sparse Recovery Approach for Integrated Communication and Human Sensing in mmWave Systems
Our results show that the micro-Doppler signatures obtained by SPARCS enable a typical downstream application such as human activity recognition with more than 7 times lower overhead with respect to existing methods, while achieving better recognition performance.
Human Tracking with mmWave Radars: a Deep Learning Approach with Uncertainty Estimation
mmWave radars have recently gathered significant attention as a means to track human movement within indoor environments.
MilliTRACE-IR: Contact Tracing and Temperature Screening via mm-Wave and Infrared Sensing
Moreover, milliTRACE-IR performs contact tracing: a person with high body temperature is reliably detected by the thermal camera sensor and subsequently traced across a large indoor area in a non-invasive way by the radars.
RAPID: Retrofitting IEEE 802.11ay Access Points for Indoor Human Detection and Sensing
In this work we present RAPID, the first joint communication and radar system based on next-generation IEEE 802. 11ay WiFi networks operating in the 60 GHz band.
Real-time People Tracking and Identification from Sparse mm-Wave Radar Point-clouds
Mm-wave radars have recently gathered significant attention as a means to track human movement and identify subjects from their gait characteristics.
Multi-Person Continuous Tracking and Identification from mm-Wave micro-Doppler Signatures
We build a system that effectively works with multiple persons concurrently sharing and freely moving within the same indoor space.
