Search results for: Simone Di Domenico

Items from 1 to 7 out of 7 results

article

CSI-based fingerprinting for indoor localization using LTE Signals

Giovanni Pecoraro, Simone Di Domenico, Ernestina Cianca, Mauro De Sanctis

EURASIP Journal on Advances in Signal Processing > 2018 > 2018 > 1 > 1-18

This paper addresses the use of channel state information (CSI) for Long Term Evolution (LTE) signal fingerprinting localization. In particular, the paper proposes a novel CSI-based signal fingerprinting approach, where fingerprints are descriptors of the “shape” of the channel frequency response (CFR) calculated on CSI vectors, rather than direct CSI vectors. Experiments have been carried out to...

chapter

LTE signal fingerprinting localization based on CSI

Giovanni Pecoraro, Simone Di Domenico, Ernestina Cianca, Mauro De Sanctis

2017 IEEE 13th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob) > 1 - 8

2017 IEEE 13th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob)

This paper investigates the possibility to use Channel State Information (CSI) extracted from Long Term Evolution (LTE) signals for signal fingerprinting localization. Being the first work in this direction, several types of signal fingerprinting-based approaches have been compared (e.g., CSI-based vs RSSI-based, statistic vs deterministic matching rule). In particular, the paper proposes a novel...

chapter

Unveiling Access Point Signal Instability in WiFi-Based Passive Sensing

Giuseppe Bianchi, Simone Di Domenico, Mauro De Sanctis, Laura Liberati, more

2017 26th International Conference on Computer Communication and Networks (ICCCN) > 1 - 9

2017 26th International Conference on Computer Communication and Networks (ICCCN)

In the last few years, there has been a growing interest on the usage of passive WiFi signals for detecting and classifying human behavior activities. In most generality, the idea underlying most state of the art approaches is to monitor changes in the Channel State Information (CSI) or equivalent spectral metrics, caused by the different multi- path conditions (and their temporal variations) induced...

chapter

LTE-based passive device-free crowd density estimation

Simone Di Domenico, Mauro De Sanctis, Ernestina Cianca, Paolo Colucci, more

2017 IEEE International Conference on Communications (ICC) > 1 - 6

ICC 2017 - 2017 IEEE International Conference on Communications

In the last few years, there has been a growing interest in developing sensing systems using RF signals of opportunity, especially exploiting radar-based techniques. Long Term Evolution (LTE) signals are excellent candidates as signals of opportunity thanks to their wide availability and penetration in indoor environments. This is the first work investigating the possibility to use LTE signals for...

article

Radios as Sensors

Ernestina Cianca, Mauro De Sanctis, Simone Di Domenico

IEEE Internet of Things Journal > 2017 > 4 > 2 > 363 - 373

Radio receivers, besides acting as wireless network nodes participating to the Internet of Things (IoT) communication task, may act as opportunistic sensors participating to the IoT sensing task. In particular, a radio receiver is intrinsically an electronic sensor which may be used for device-free human activity recognition. In this paper, we analyze recent results on how the identification of the...

chapter

Trained-once device-free crowd counting and occupancy estimation using WiFi: A Doppler spectrum based approach

Simone Di Domenico, Giovanni Pecoraro, Ernestina Cianea, Mauro De Sanctis

2016 IEEE 12th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob) > 1 - 8

2016 IEEE 12th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob)

This paper presents a WiFi-based device-free crowd counting and occupancy estimation system that can be used in rooms/environments different from the ones in which the training process has been performed. Therefore, crowd counting is achieved without requiring another training phase in each new environment. The proposed approach analyzes the shape of the Doppler spectrum of the received signal which...

article

PCA-based artifact removal algorithm for stroke detection using UWB radar imaging

Elisa Ricci, Simone di Domenico, Ernestina Cianca, Tommaso Rossi, more

Medical & Biological Engineering & Computing > 2017 > 55 > 6 > 909-921

Stroke patients should be dispatched at the highest level of care available in the shortest time. In this context, a transportable system in specialized ambulances, able to evaluate the presence of an acute brain lesion in a short time interval (i.e., few minutes), could shorten delay of treatment. UWB radar imaging is an emerging diagnostic branch that has great potential for the implementation of...

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Search results for: Simone Di Domenico

CSI-based fingerprinting for indoor localization using LTE Signals

LTE signal fingerprinting localization based on CSI

Unveiling Access Point Signal Instability in WiFi-Based Passive Sensing

LTE-based passive device-free crowd density estimation

Radios as Sensors

Trained-once device-free crowd counting and occupancy estimation using WiFi: A Doppler spectrum based approach

PCA-based artifact removal algorithm for stroke detection using UWB radar imaging

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