Characterization of Range and Time Performance of Indoor GNSS Signals

Marathe, Thyagaraja; Broumandan, Ali; Pirsiavash, Ali; Lachapelle, G.

doi:10.1109/euronav.2018.8433236

Cited by 7 publications

(6 citation statements)

References 5 publications

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“…İki işletim sisteminin gereksinimleri ve uygulama geliştirme aşamaları ise farklıdır. Örneğin Android cihazlar için uygulama geliştirmede Java (Oracle, 2023) ya da Kotlin (Kotlin, 2023) dilleri kullanılırken, iOS cihazlar için uygulama geliştirmede Swift (Apple, 2023a) veya Objective C (Apple, 2023b) dilleri kullanılır. Geliştirmede kullanılacak iki dil, iki farklı geliştirme aşaması anlamına gelmekte ve buna bağlı olarak geliştirme zaman maliyeti artmaktadır.…”

Section: Mobil Uygulama Geliştirme (Mobile Application Development)unclassified

Kapali Alanda Beacon Tabanli Navi̇gasyon Uygulamasi

Çakır,

Tanrıverdi,

Sarıkaya

et al. 2024

Mühendislik Bilimleri Ve Tasarım Dergisi

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Günlük yaşamda bir adrese ilerlerken veya insanları bir adrese yönlendirirken konum bilgisine ihtiyaç duyulmaktadır. Bundan dolayı Küresel Konum Belirleme Sistemleri (GNSS-Global Navigation Satellite Systems) gündelik yaşamda oldukça önemlidir. Genel olarak GNSS alıcısının yeteri kadar uydu görmesi halinde navigasyon amaçlı uygulamalar için konum belirlenebilmektedir. Ancak GNSS teknolojisinin sinyal yapısından kaynaklı olarak GNSS alıcıları kapalı alanlarda uydu sinyallerini alamamakta ve iyi performans verememektedir. Bu nedenle kapalı alanlarda alternatif konum belirleme teknolojileri kullanılmaktadır. Bu teknolojilerden biri de Bluetooth tabanlı Beacon teknolojisidir. Bu çalışmada Beacon cihazları kullanılarak kapalı alanlarda navigasyona izin veren bir mobil uygulama geliştirilmiştir. Geliştirilen bu uygulama Pamukkale Üniversitesi Mühendislik Fakültesi giriş katında test edilmiştir. Çalışma kapsamında öncelikli olarak test edilecek olan kapalı alanın haritası çıkarılmış ve Beacon cihazları bu test alanı üzerinde algılama mesafelerine göre konumlandırılmıştır. Sonrasında ise; daha önceden çıkarılan harita üzerinde, Beacon cihazlarının gerçek konumları işaretlenmiştir. Bir sonraki aşamada ise; bina girişinden itibaren hedef odaya kadar olan rotanın belirlenmesi ve gerekli yönlendirmelerin yapılmasıdır. Bu amaç doğrultusunda gidilecek yola en hızlı şekilde ulaşmak için dijkstra algoritması kullanılmıştır. React Native ile geliştirilen mobil uygulamada kullanıcılara rota ve anlık olarak katedilen yol Leaflet kütüphanesi ile gösterilmiştir. Yapılan testler sonucunda bina içi navigasyon uygulaması hedeflenen konumların tespitini %90 doğruluğunda elde etmiştir.

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Section: Mobil Uygulama Geliştirme (Mobile Application Development)unclassified

Kapali Alanda Beacon Tabanli Navi̇gasyon Uygulamasi

Çakır,

Tanrıverdi,

Sarıkaya

et al. 2024

Mühendislik Bilimleri Ve Tasarım Dergisi

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“…Indoor scenarios lead to inferior signal detection and degrade the quality of measurements due to higher noise and multipath effects. The major degradation that the indoor receivers have to cope with is high signal attenuation [ 4 ]. The signal reception is influenced by building materials and the receiver’s location, resulting in attenuation losses of approximately 10 to 20 dB in soft-indoor scenarios, 20 to 35 dB in indoor scenarios, and exceeding 35 dB in deep indoor scenarios [ 3 ].…”

Section: Introductionmentioning

confidence: 99%

“…GNSS-based applications are increasingly expanding their reach to encompass more demanding scenarios, including urban and light-indoor environments. In areas with weak or compromised signals, they improve the availability of satellite signals [ 1 , 4 ]. This capability enhances the overall reliability and performance of GNSS receivers in diverse settings.…”

Section: Introductionmentioning

confidence: 99%

Implementation of a High-Sensitivity Global Navigation Satellite System Receiver on a System-on-Chip Field-Programmable Gate Array Platform

Majoral,

Arribas,

Fernández-Prades

2024

Sensors

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This paper presents the design, proof-of-concept implementation, and preliminary performance assessment of an affordable real-time High-Sensitivity (HS) Global Navigation Satellite System (GNSS) receiver. Specifically tailored to capture and track weak Galileo E1b/c signals, this receiver aims to support research endeavors focused on advancing GNSS signal processing algorithms, particularly in scenarios characterized by pronounced signal attenuation. Leveraging System-on-Chip Field-Programmable Gate Array (SoC-FPGA) technology, this design merges the adaptability of Software Defined Radio (SDR) concepts with the the robust hardware processing capabilities of FPGAs. This innovative approach enhances power efficiency compared to conventional designs relying on general-purpose processors, thereby facilitating the development of embedded software-defined receivers. Within this architecture, we implemented a modular GNSS baseband processing engine, offering a versatile platform for the integration of novel algorithms. The proposed receiver undergoes testing with live signals, showcasing its capability to process GNSS signals even in challenging scenarios with a carrier-to-noise density ratio (C/N0) as low as 20 dB-Hz, while delivering navigation solutions. This work contributes to the advancement of low-cost, high-sensitivity GNSS receivers, providing a valuable tool for researchers engaged in the development, testing, and validation of experimental GNSS signal processing techniques.

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“…However, the effect of obstacles and Non-Line-Of-Sight (NLOS) propagation [ 3 ] make GNSS essentially unavailable or very inaccurate in indoor scenarios [ 4 ]. This implies a huge barrier for the implementation of many applications of positioning, logistics [ 5 ], games and augmented reality applications [ 6 , 7 ] and even the management of cellular networks [ 8 , 9 , 10 , 11 ] indoors.…”

Section: Introductionmentioning

confidence: 99%

Accurate and Low-Complexity Auto-Fingerprinting for Enhanced Reliability of Indoor Localization Systems

Hatem

Fortes

Colin

et al. 2021

Sensors

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Indoor localization is one of the most important topics in wireless navigation systems. The large number of applications that rely on indoor positioning makes advancements in this field important. Fingerprinting is a popular technique that is widely adopted and induces many important localization approaches. Recently, fingerprinting based on mobile robots has received increasing attention. This work focuses on presenting a simple, cost-effective and accurate auto-fingerprinting method for an indoor localization system based on Radio Frequency Identification (RFID) technology and using a two-wheeled robot. With this objective, an assessment of the robot’s navigation is performed in order to investigate its displacement errors and elaborate the required corrections. The latter are integrated in our proposed localization system, which is divided into two stages. From there, the auto-fingerprinting method is implemented while modeling the tag-reader link by the Dual One Slope with Second Order propagation Model (DOSSOM) for environmental calibration, within the offline stage. During the online stage, the robot’s position is estimated by applying DOSSOM followed by multilateration. Experimental localization results show that the proposed method provides a positioning error of 1.22 m at the cumulative distribution function of 90%, while operating with only four RFID active tags and an architecture with reduced complexity.

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Characterization of Range and Time Performance of Indoor GNSS Signals

Cited by 7 publications

References 5 publications

Kapali Alanda Beacon Tabanli Navi̇gasyon Uygulamasi

Kapali Alanda Beacon Tabanli Navi̇gasyon Uygulamasi

Implementation of a High-Sensitivity Global Navigation Satellite System Receiver on a System-on-Chip Field-Programmable Gate Array Platform

Accurate and Low-Complexity Auto-Fingerprinting for Enhanced Reliability of Indoor Localization Systems

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