469 research outputs found
Ubiquitous Positioning: A Taxonomy for Location Determination on Mobile Navigation System
The location determination in obstructed area can be very challenging
especially if Global Positioning System are blocked. Users will find it
difficult to navigate directly on-site in such condition, especially indoor car
park lot or obstructed environment. Sometimes, it needs to combine with other
sensors and positioning methods in order to determine the location with more
intelligent, reliable and ubiquity. By using ubiquitous positioning in mobile
navigation system, it is a promising ubiquitous location technique in a mobile
phone since as it is a familiar personal electronic device for many people.
However, as research on ubiquitous positioning systems goes beyond basic
methods there is an increasing need for better comparison of proposed
ubiquitous positioning systems. System developers are also lacking of good
frameworks for understanding different options during building ubiquitous
positioning systems. This paper proposes taxonomy to address both of these
problems. The proposed taxonomy has been constructed from a literature study of
papers and articles on positioning estimation that can be used to determine
location everywhere on mobile navigation system. For researchers the taxonomy
can also be used as an aid for scoping out future research in the area of
ubiquitous positioning.Comment: 15 Pages, 3 figure
Towards Ubiquitous Positioning by Leveraging Reconfigurable Intelligent Surface
The received signal strength (RSS) based technique is widely utilized for
ubiquitous positioning due to its advantage of simple implementability.
However, its accuracy is limited because the RSS values of adjacent locations
can be very difficult to distinguish. Against this background, we propose the
novel RSS-based positioning scheme enabled by reconfigurable intelligent
surface (RIS). By modifying the reflection coefficient of the RIS, the
propagation channels are programmed in such a way that the differences between
the RSS values of adjacent locations can be enlarged to improve the positioning
accuracy. New challenge lies in the selection of suitable reflection
coefficients for high-accuracy positioning. To tackle this challenge, we
formulate the RIS-aided positioning problem and design an iterative algorithm
to solve the problem. The effectiveness of the proposed positioning scheme is
validated through simulations
Satellite Navigation for the Age of Autonomy
Global Navigation Satellite Systems (GNSS) brought navigation to the masses.
Coupled with smartphones, the blue dot in the palm of our hands has forever
changed the way we interact with the world. Looking forward, cyber-physical
systems such as self-driving cars and aerial mobility are pushing the limits of
what localization technologies including GNSS can provide. This autonomous
revolution requires a solution that supports safety-critical operation,
centimeter positioning, and cyber-security for millions of users. To meet these
demands, we propose a navigation service from Low Earth Orbiting (LEO)
satellites which deliver precision in-part through faster motion, higher power
signals for added robustness to interference, constellation autonomous
integrity monitoring for integrity, and encryption / authentication for
resistance to spoofing attacks. This paradigm is enabled by the 'New Space'
movement, where highly capable satellites and components are now built on
assembly lines and launch costs have decreased by more than tenfold. Such a
ubiquitous positioning service enables a consistent and secure standard where
trustworthy information can be validated and shared, extending the electronic
horizon from sensor line of sight to an entire city. This enables the
situational awareness needed for true safe operation to support autonomy at
scale.Comment: 11 pages, 8 figures, 2020 IEEE/ION Position, Location and Navigation
Symposium (PLANS
Cooperative localization by dual foot-mounted inertial sensors and inter-agent ranging
The implementation challenges of cooperative localization by dual
foot-mounted inertial sensors and inter-agent ranging are discussed and work on
the subject is reviewed. System architecture and sensor fusion are identified
as key challenges. A partially decentralized system architecture based on
step-wise inertial navigation and step-wise dead reckoning is presented. This
architecture is argued to reduce the computational cost and required
communication bandwidth by around two orders of magnitude while only giving
negligible information loss in comparison with a naive centralized
implementation. This makes a joint global state estimation feasible for up to a
platoon-sized group of agents. Furthermore, robust and low-cost sensor fusion
for the considered setup, based on state space transformation and
marginalization, is presented. The transformation and marginalization are used
to give the necessary flexibility for presented sampling based updates for the
inter-agent ranging and ranging free fusion of the two feet of an individual
agent. Finally, characteristics of the suggested implementation are
demonstrated with simulations and a real-time system implementation.Comment: 14 page
Collaborative navigation as a solution for PNT applications in GNSS challenged environments: report on field trials of a joint FIG / IAG working group
PNT stands for Positioning, Navigation, and Timing. Space-based PNT refers to the capabilities enabled by GNSS, and enhanced by Ground and Space-based Augmentation Systems (GBAS and SBAS), which provide position, velocity, and timing information to an unlimited number of users around the world, allowing every user to operate in the same reference system and timing standard. Such information has become increasingly critical to the security, safety, prosperity, and overall qualityof-life of many citizens. As a result, space-based PNT is now widely recognized as an essential element of the global information infrastructure. This paper discusses the importance of the availability and continuity of PNT information, whose application, scope and significance have exploded in the past 10â15 years. A paradigm shift in the navigation solution has been observed in recent years. It has been manifested by an evolution from traditional single sensor-based solutions, to multiple sensor-based solutions and ultimately to collaborative navigation and layered sensing, using non-traditional sensors and techniques â so called signals of opportunity. A joint working group under the auspices of the International Federation of Surveyors (FIG) and the International Association of Geodesy (IAG), entitled âUbiquitous Positioning Systemsâ investigated the use of Collaborative Positioning (CP) through several field trials over the past four years. In this paper, the concept of CP is discussed in detail and selected results of these experiments are presented. It is demonstrated here, that CP is a viable solution if a ânetworkâ or âneighbourhoodâ of users is to be positionedâ/ânavigated together, as it increases the accuracy, integrity, availability, and continuity of the PNT information for all users
D2D-based Cooperative Positioning Paradigm for Future Wireless Systems: A Survey
Emerging communication network applications require a location accuracy of less than 1m in more than 95% of the service area. For this purpose, 5G New Radio (NR) technology is designed to facilitate high-accuracy continuous localization. In 5G systems, the existence of high-density small cells and the possibility of the device-to-device (D2D) communication between mobile terminals paves the way for cooperative positioning applications. From the standardization perspective, D2D technology is already under consideration (5G NR Release 16) for ultra-dense networks enabling cooperative positioning and is expected to achieve the ubiquitous positioning of below one-meter accuracy, thereby fulfilling the 5G requirements. In this survey, the strengths and weaknesses of D2D as an enabling technology for cooperative cellular positioning are analyzed (including two D2D approaches to perform cooperative positioning); lessons learned and open issues are highlighted to serve as guidelines for future research
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