Survey on signal processing for GNSS under ionospheric scintillation: Detection, monitoring, and mitigation
Ionospheric scintillation is the physical phenomena affecting radio waves coming from the
space through the ionosphere. Such disturbance is caused by ionospheric electron-density …
space through the ionosphere. Such disturbance is caused by ionospheric electron-density …
Indoor tracking: Theory, methods, and technologies
In the last decade, the research on and the technology for outdoor tracking have seen an
explosion of advances. It is expected that in the near future, we will witness similar trends for …
explosion of advances. It is expected that in the near future, we will witness similar trends for …
A review of advanced localization techniques for crowdsensing wireless sensor networks
The wide availability of sensing modules and computing capabilities in modern mobile
devices (smartphones, smart watches, in-vehicle sensors, etc.) is driving the shift from mote …
devices (smartphones, smart watches, in-vehicle sensors, etc.) is driving the shift from mote …
An efficient pipeline to obtain 3D model for HBIM and structural analysis purposes from 3D point clouds
The aim of this work is to identify an efficient pipeline in order to build HBIM (heritage
building information modelling) and create digital models to be used in structural analysis …
building information modelling) and create digital models to be used in structural analysis …
Network experimentation for cooperative localization
This paper introduces the notion of network experimentation and proposes an
experimentation methodology particularly suited for cooperative wireless networks. Based …
experimentation methodology particularly suited for cooperative wireless networks. Based …
Single-Anchor Localization and Orientation Performance Limits Using Massive Arrays: MIMO vs. Beamforming
In the next generation of cellular networks, it is desirable to use single access points both for
communication and localization. This could be made possible thanks to the combination of …
communication and localization. This could be made possible thanks to the combination of …
Sybil attack detection in internet of flying things-ioft: A machine learning approach
Sybil attack refers to the situation when a malicious node falsely claims to have numerous
identities and is known to be one of the security threats to the Internet of Things (IoT). Due to …
identities and is known to be one of the security threats to the Internet of Things (IoT). Due to …
Two-timescale joint precoding design and RIS optimization for user tracking in near-field MIMO systems
In this paper, we propose a novel framework that aims to jointly design the reflection
coefficients of multiple reconfigurable intelligent surfaces and the precoding strategy of a …
coefficients of multiple reconfigurable intelligent surfaces and the precoding strategy of a …
RSS-based sensor localization in the presence of unknown channel parameters
This correspondence studies the received signal strength-based localization problem when
the transmit power or path-loss exponent is unknown. The corresponding maximum …
the transmit power or path-loss exponent is unknown. The corresponding maximum …
Deep learning of GNSS acquisition
Signal acquisition is a crucial step in Global Navigation Satellite System (GNSS) receivers,
which is typically solved by maximizing the so-called Cross-Ambiguity Function (CAF) as a …
which is typically solved by maximizing the so-called Cross-Ambiguity Function (CAF) as a …