123 citations · 277 across the 25 of their papers we have counts for
27 papers
Reliable Doppler Estimation in Asynchronous Moving ISAC Devices via IMU Integration
Zaman Bhalli, Jacopo Pegoraro, Gianmaria Ventura +2
We present an Integrated Sensing And Communication (ISAC) framework for the joint estimation of the Doppler frequency of a passive mobile target in a bistatic scenario with clock-a…
Beyond Point Targets: Experimental Analysis of Frequency Anisotropy for Multi-band ISAC in FR3
Jacopo Pegoraro, Andrea Bedin, Dario Tagliaferri +1
As Integrated Sensing And Communication (ISAC) systems push toward higher sensing resolution, multi-band processing has emerged as a key enabler, with Frequency Range 3 (FR3) (7-24…
Zero-Overhead Unambiguous Velocity Estimation in Multiband ISAC Systems Under Random Traffic
Aurora Peloso, Michele Rossi, Jacopo Pegoraro
This paper proposes an original method for estimating the velocity of a target by leveraging the multiband capabilities of modern Integrated Sensing And Communication (ISAC) system…
Sparse Spike Encoding of Channel Responses for Energy Efficient Human Activity Recognition
Eleonora Cicciarella, Riccardo Mazzieri, Jacopo Pegoraro +1
ISAC enables pervasive monitoring, but modern sensing algorithms are often too complex for energy-constrained edge devices. This motivates the development of learning techniques th…
Compressed Sensing-Driven Near-Field Localization Exploiting Array of Subarrays
Sai Pavan Deram, Jacopo Pegoraro, Javier Lorca Hernando +2
Near-field localization for ISAC requires large-aperture arrays, making fully-digital implementations prohibitively complex and costly. While sparse subarray architectures can redu…
Toward Multiband Sensing in FR3: Frequency Anisotropy Characterization and Non-Contiguous Bands Aggregation Algorithms
Jacopo Pegoraro, Gianmaria Ventura, Dario Tagliaferri +4
Frequency Range 3 (FR3) in the 7-24 GHz band will be the new spectrum for 6G wireless networks. The bandwidth availability and diversity of FR3 offer unprecedented opportunities fo…
Spatiotemporal Radar Gesture Recognition with Hybrid Spiking Neural Networks: Balancing Accuracy and Efficiency
Riccardo Mazzieri, Eleonora Cicciarella, Jacopo Pegoraro +2
Radar-based Human Activity Recognition (HAR) offers privacy and robustness over camera-based methods, yet remains computationally demanding for edge deployment. We present the firs…
LightSNN: Lightweight Architecture Search for Sparse and Accurate Spiking Neural Networks
Yesmine Abdennadher, Giovanni Perin, Riccardo Mazzieri +2
Spiking Neural Networks (SNNs) are highly regarded for their energy efficiency, inherent activation sparsity, and suitability for real-time processing in edge devices. However, mos…
Open-Set Gait Recognition from Sparse mmWave Radar Point Clouds
Riccardo Mazzieri, Jacopo Pegoraro, Michele Rossi
The adoption of Millimeter-Wave (mmWave) radar devices for human sensing, particularly gait recognition, has recently gathered significant attention due to their efficiency, resili…
Hierarchical Coherent Imaging of Composite Anisotropic Moving Targets in ISAC
Jacopo Pegoraro, Dario Tagliaferri, Joerg Widmer
In Integrated Sensing and Communication (ISAC) networks, distributed devices can cooperate to produce radio images of the surrounding environment by exploiting phase-coherent signa…
Using Deep Reinforcement Learning to Enhance Channel Sampling Patterns in Integrated Sensing and Communication
Federico Mason, Jacopo Pegoraro
In Integrated Sensing And Communication (ISAC) systems, estimating the micro-Doppler (mD) spectrogram of a target requires combining channel estimates retrieved from communication…
AsyMov: Integrated Sensing and Communications with Asynchronous Moving Devices
Gianmaria Ventura, Michele Rossi, Jacopo Pegoraro
Estimating the Doppler frequency shift caused by moving targets is one of the key objectives of Integrated Sensing And Communication (ISAC) systems, as it enables applications such…
HiSAC: High-Resolution Sensing with Multiband Communication Signals
Jacopo Pegoraro, Jesus O. Lacruz, Michele Rossi +1
Integrated Sensing And Communication (ISAC ) systems are expected to perform accurate radar sensing while having minimal impact on communication. Ideally, sensing should only reuse…
Bistatic Doppler Frequency Estimation with Asynchronous Moving Devices for Integrated Sensing and Communications
Gianmaria Ventura, Zaman Bhalli, Michele Rossi +1
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 Communicatio…
Sensing in Bi-Static ISAC Systems with Clock Asynchronism: A Signal Processing Perspective
Kai Wu, Jacopo Pegoraro, Francesca Meneghello +9
Integrated Sensing and Communication (ISAC) has been identified as a pillar usage scenario for the impending 6G era. Bi-static sensing, a major type of sensing in ISAC, is promisin…
Learned Spike Encoding of the Channel Response for Low-Power Environment Sensing
Eleonora Cicciarella, Riccardo Mazzieri, Jacopo Pegoraro +1
Radio Frequency (RF) sensing holds the potential for enabling pervasive monitoring applications. However, modern sensing algorithms imply complex operations, which clash with the e…
An Experimental Prototype for Multistatic Asynchronous ISAC
Marco Canil, Jacopo Pegoraro, Jesus O. Lacruz +4
We prototype and validate a multistatic mmWave ISAC system based on IEEE802.11ay. Compensation of the clock asynchrony between each TX and RX pair is performed using the sole LoS w…
Attention-Refined Unrolling for Sparse Sequential micro-Doppler Reconstruction
Riccardo Mazzieri, Jacopo Pegoraro, Michele Rossi
The reconstruction of micro-Doppler signatures of human movements is a key enabler for fine-grained activity recognition wireless sensing. In Joint Communication and Sensing (JCS)…
DISC: a Dataset for Integrated Sensing and Communication in mmWave Systems
Jacopo Pegoraro, Pablo Saucedo, Jesus Omar Lacruz +2
This paper presents DISC, a dataset of millimeter-wave channel impulse response measurements for integrated human activity sensing and communication. This is the first dataset coll…
JUMP: Joint communication and sensing with Unsynchronized transceivers Made Practical
Jacopo Pegoraro, Jesus O. Lacruz, Tommy Azzino +4
Wideband millimeter-wave communication systems can be extended to provide radar-like sensing capabilities on top of data communication, in a cost-effective manner. However, the dev…
ORACLE: Occlusion-Resilient and Self-Calibrating mmWave Radar Network for People Tracking
Marco Canil, Jacopo Pegoraro, Anish Shastri +2
Millimeter wave (mmWave) radar sensors are emerging as valid alternatives to cameras for the pervasive contactless monitoring of people in indoor spaces. However, commercial mmWave…
Human Tracking with mmWave Radars: a Deep Learning Approach with Uncertainty Estimation
Jacopo Pegoraro, Michele Rossi
mmWave radars have recently gathered significant attention as a means to track human movement within indoor environments. Widely adopted Kalman filter tracking methods experience p…
SPARCS: A Sparse Recovery Approach for Integrated Communication and Human Sensing in mmWave Systems
Jacopo Pegoraro, Jesus Omar Lacruz, Michele Rossi +1
A well established method to detect and classify human movements using Millimeter-Wave ( mmWave) devices is the time-frequency analysis of the small-scale Doppler effect (termed mi…
MilliTRACE-IR: Contact Tracing and Temperature Screening via mm-Wave and Infrared Sensing
Marco Canil, Jacopo Pegoraro, Michele Rossi
Social distancing and temperature screening have been widely employed to counteract the COVID-19 pandemic, sparking great interest from academia, industry and public administration…