Results 11 to 20 of about 961,733 (195)

Parasitic Surveillance Potentialities Based on a GEO-SAR Illuminator

open access: yesRemote Sensing, 2021
Synthetic aperture radar systems operating with satellites in geosynchronous orbits (GEO-SAR) can provide a permanent coverage of wide specific areas of the Earth’s surface.
Fabrizio Santi   +4 more
doaj   +1 more source

The Potential of LEO Satellite-Based Opportunistic Navigation for High Dynamic Applications

open access: yesSensors, 2022
Resilient navigation in Global Navigation Satellite System (GNSS)-degraded and -denied environments is becoming more and more required for many applications. It can typically be based on multi-sensor data fusion that relies on alternative technologies to
Nabil Jardak, Quentin Jault
doaj   +1 more source

Phantom Car Attack Detection via Passive Opportunistic RF Localization

open access: yesIEEE Access, 2023
A novel opportunistic approach of passive RF localization is presented for detecting “phantom car” attacks, i.e., vehicles intentionally reporting false position/velocity information to surrounding vehicles and communication networks ...
Alexander M. Wyglinski   +9 more
doaj   +1 more source

Opportunistic In-Flight INS Alignment Using LEO Satellites and a Rotatory IMU Platform

open access: yesAerospace, 2021
With the emergence of numerous low Earth orbit (LEO) satellite constellations such as Iridium-Next, Globalstar, Orbcomm, Starlink, and OneWeb, the idea of considering their downlink signals as a source of pseudorange and pseudorange rate measurements has
Farzan Farhangian   +2 more
doaj   +1 more source

SCoBi Multilayer: A Signals of Opportunity Reflectometry Model for Multilayer Dielectric Reflections

open access: yesRemote Sensing, 2020
A multilayer module is incorporated into the Signals of Opportunity (SoOp) Coherent Bistatic Scattering model (SCoBi) for determining the reflections and propagation of electric fields within a series of multilayer dielectric slabs.
Dylan Boyd   +8 more
doaj   +1 more source

Device-Free Counting via OFDM Signals of Opportunity [PDF]

open access: yes2018 IEEE International Conference on Communications Workshops (ICC Workshops), 2018
Counting targets (people or things) within a monitored area is an important task in emerging wireless applications for smart environments, safety, and security. Counting via passive radars rely on signals of opportunity (i.e., signal already on air for other purposes) to detect and count device-free targets, which is preferable, in terms of privacy and
Stefania Bartoletti   +2 more
openaire   +2 more sources

PRN Sequence Estimation with a Self-Calibrating 40-Element Antenna Array

open access: yesNavigation, 2023
This work explores the use of a low-cost global navigation satellite system (GNSS) antenna array including front-ends and a global navigation satellite system (GNSS) software receiver to receive signals of opportunity (SoO) whose pseudorandom noise (PRN)
Dominik Dötterböck   +4 more
doaj   +1 more source

A New Differential Positioning Method using Modulation Correlation of Signals of Opportunity [PDF]

open access: yes, 2010
Global Navigation Satellite Systems (GNSS) have become the positioning systems of choice for many applications. However, GNSS signals are susceptible to obstruction, interference and jamming.
Cross, PA   +4 more
core   +1 more source

Improving Inertial Pedestrian Dead-Reckoning by Detecting Unmodified Switched-on Lamps in Buildings

open access: yesSensors, 2014
This paper explores how inertial Pedestrian Dead-Reckoning (PDR) location systems can be improved with the use of a light sensor to measure the illumination gradients created when a person walks under ceiling-mounted unmodified indoor lights. The process
Antonio R. Jiménez   +2 more
doaj   +1 more source

Position Estimation in Mixed Indoor-Outdoor Environment Using Signals of Opportunity and Deep Learning Approach [PDF]

open access: yesInternational Journal of Electronics and Telecommunications, 2022
To improve the user’s localization estimation in indoor and outdoor environment a novel radiolocalization system using deep learning dedicated to work both in indoor and outdoor environment is proposed.
Sebastian Urwan   +3 more
doaj   +1 more source

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