Global Navigation Satellite System (GNSS)

Sholarin, Ebenezer A.; Awange, Joseph

doi:10.1007/978-3-319-27651-9_9

Cited by 8 publications

(4 citation statements)

References 13 publications

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“…For single band algorithm in sections 0, we used one of the GPS-band signal that has carrier frequency = 1575.42 , bandwidth = 15 [18]. The signal is bounded between 1567.92 and 1582.92 , the proper sampling frequencies are extracted by the algorithm and shown in VI.…”

Section: A Single-band Algorithm Resultsmentioning

confidence: 99%

Theoretical Analysis and Design Optimization for Multi-GNSS Direct Radio Frequency Sampling Receiver

Elbushra¹,

EL-ROUBY²

2022

IJRASET

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Recently, a considerable amount of research has been conducted on multiple GNSS receivers using the Direct RF sampling concept. This approach greatly reduces the hardware requirements of the traditional receiver by placing the analog-todigital converter as close as possible to the antenna, eliminating the mixer stages. Furthermore, directly sampling the RF signal using the ADC allows for a more efficient design. In this paper, a Multi-GNSS Direct Radio Frequency Sampling Method is designed, optimized, and its performance is presented for several GNSS signals, including GPS L1, GPS L2, and GPS L5. The implemented method is used to find the ranges of valid sampling frequencies in single and multiple band RF signal cases. The algorithm presented results in an easier way to find valid sampling frequencies and a straightforward implementation without the need for complicated mathematical calculations. We consider aliasing issues and computational problems, providing a full theoretical and practical analysis compared to previously presented algorithms in the literature. This paper also examines the relationship between the sampling frequency, noise folding, and its effect on the signal-to-noise ratio (SNR), thus allowing for the selection of the optimal sampling frequency.

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Section: A Single-band Algorithm Resultsmentioning

confidence: 99%

Theoretical Analysis and Design Optimization for Multi-GNSS Direct Radio Frequency Sampling Receiver

Elbushra¹,

EL-ROUBY²

2022

IJRASET

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“…The technology can also be used in a smart city context as demonstrated in (Shi et al, 2017) where a smart parking system was built based on NB-IoT with successful deployment in two cities in the Zhejiang province of China. Global Navigation Satellite Systems (GNSS) consist of four satellite technologies (Sholarin and Awange, 2015):…”

Section: Iot Solutions For Ce and Traceabilitymentioning

confidence: 99%

Towards circular economy in the textiles and clothing value chain through blockchain technology and IoT: A review

et al. 2021

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The textile and clothing industry sector has today a big environmental impact, not only due to the consumption of water and the use of toxic chemicals but also due to the increasing levels of textile waste. One way to reduce the problem is to circularise the, currently linear, textile and clothing value chain, by using discarded clothes as raw material for the production of new clothes, transforming it into a model of circular economy. This way, while reducing the need to produce new raw materials (e.g. cotton), the problem of textile waste produced is also reduced, thus contributing to a more sustainable industry. In this article, we review the current approaches for traceability in the textile and clothing value chain, and study a set of technologies we deem essential for promoting the circular economy in this value chain – namely, the blockchain technology – for registering activities on traceable items through the value chain, and the Internet of Things (IoT) technology, for easily identifying the traceable items’ digital twins.

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“…e most common and widely used Positioning System is the Global Navigation Satellite System (GNSS) [62][63][64], a satellite navigation system with global coverage. ere are several GNSS systems, namely, Global Navigation Satellite System (GLONASS) [65,66], Global Positioning System (GPS) [67][68][69], BeiDou Navigation Satellite System (BDS) [70], Galileo [71], Quasi-Zenith Satellite System (QZSS) [72,73], and others.…”

Section: Positioning Systemmentioning

confidence: 99%

Intelligent Traffic Management System Based on the Internet of Vehicles (IoV)

Mohamed

Al-Shalfan

2021

Journal of Advanced Transportation

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The present era is marked by rapid improvement and advances in technology. One of the most essential areas that demand improvement is the traffic signal, as it constitutes the core of the traffic system. This demand becomes stringent with the development of Smart Cities. Unfortunately, road traffic is currently controlled by very old traffic signals (tri-color signals) regardless of the relentless effort devoted to developing and improving the traffic flow. These traditional traffic signals have many problems including inefficient time management in road intersections; they are not immune to some environmental conditions, like rain; and they have no means of giving priority to emergency vehicles. New technologies like Vehicular Ad-hoc Networks (VANET) and Internet of Vehicles (IoV) enable vehicles to communicate with those nearby and with a dedicated infrastructure wirelessly. In this paper, we propose a new traffic management system based on the existing VANET and IoV that is suitable for future traffic systems and Smart Cities. In this paper, we present the architecture of our proposed Intelligent Traffic Management System (ITMS) and Smart Traffic Signal (STS) controller. We present local traffic management of an intersection based on the demands of future Smart Cities for fairness, reducing commute time, providing reasonable traffic flow, reducing traffic congestion, and giving priority to emergency vehicles. Simulation results showed that the proposed system outperforms the traditional management system and could be a candidate for the traffic management system in future Smart Cities. Our proposed adaptive algorithm not only significantly reduces the average waiting time (delay) but also increases the number of serviced vehicles. Besides, we present the implemented hardware prototype for STS.

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Global Navigation Satellite System (GNSS)

Cited by 8 publications

References 13 publications

Theoretical Analysis and Design Optimization for Multi-GNSS Direct Radio Frequency Sampling Receiver

Theoretical Analysis and Design Optimization for Multi-GNSS Direct Radio Frequency Sampling Receiver

Towards circular economy in the textiles and clothing value chain through blockchain technology and IoT: A review

Intelligent Traffic Management System Based on the Internet of Vehicles (IoV)

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