scholarly journals Optimal GPS Satellite Selection using Stochastic Optimization and Volumes of Tetrahedrons for High Precision Positioning

A possibility of utilizing the Global Positioning System (GPS) depends on the positioning accuracy. Two decisive factors of position accuracy are User Range Error (URE) value and dimensionless Dilution of Precision (DOP), related to number of visible satellites. Several error modeling and correction techniques are available to improve the accuracy by optimizing the errors. While finding the GDOP at every instant, satellite selection plays predominant role. Satellite geometry with more satellites gives the good GDOP. However, due to limited receiver tracking channels and smaller size memories and other problems, it may not be possible to use all satellites in view for positioning. In GPS navigation, position of user requires minimum of four visible satellites. The selection of four satellites has a considerable impact on the position accuracy and GDOP shows the order of this impact. By using the concept of relation between GDOP and volume of tetrahedron optimal four satellites are selected to improve the position accuracy. Genetic Algorithm is used to select best ten combinations based on GDOP. For experimental validation the data collected at Andhra University, Visakhapatnam, located at (706970.9093, 6035941.0226, 1930009.5821) (m) is used. It is observed that selected satellites which are arranged in tetrahedron by following the work done by M Kihara on satellite selection method and accuracy for the GPS, using GA gives the best position values.

CISM journal ◽  
1990 ◽  
Vol 44 (3) ◽  
pp. 233-249
Author(s):  
B. Merminod1 ◽  
D.B. Grant2 ◽  
C. Rizos

In the planning of a GPS survey, one of the basic tasks is to answer these questions: Which satellites should I observe? How long should I observe for? What time of day should I schedule observations? To answer such questions it is necessary to have an objective measure of the precision attainable for position determination by GPS techniques. At present, the indicators of precision commonly available are based on notions of relative satellite geometry as borrowed from GPS navigation principles, and are only of limited use in GPS surveying. In particular, for short baselines, the reliable resolution of the carrier cycle ambiguities during the phase reduction stage is the key to precise relative GPS surveying. The authors have developed a number of precision indicators for GPS surveying which could be used to maximise the probability of resolving ambiguities. The computation of these proposed indicators will assist in satellite selection and estimating the appropriate observation session times and length for GPS surveying. The utility of these indicators has been supported by studies that have shown that not only is the internal precision of the coordinate results maximised, but the sensitivity to systematic errors is also to a large extent reduced. Strategies for the use of these indicators are suggested.


Author(s):  
David P. Aguilar ◽  
Sean J. Barbeau ◽  
Miguel A. Labrador ◽  
Alfredo J. Perez ◽  
Rafael A. Perez ◽  
...  

2014 ◽  
Vol 556-562 ◽  
pp. 3313-3316
Author(s):  
Hao Ran Song

Currently, GPS global positioning system has been in the areas of precise positioning, navigation, timing has been widely used. By GPS-OEM combined with computer and communications technologies, users are able to easily and independently developed to meet the specific needs of GPS systems. Design system based on GPS navigation navigation system requirements package, in-depth study of the main factors affecting the precision of navigation. Several factors made corresponding solutions, implements navigation navigation system the main functions of the software.


2014 ◽  
Vol 4 (1) ◽  
Author(s):  
H. Mehrabi ◽  
B. Voosoghi

AbstractPrecision, reliability and cost are the major criteria applied in optimization and design of geodetic networks. The terrestrial networks are being replaced quickly by permanent and campaign Global Positioning System (GPS) networks. These networks must be optimized using the same three criteria. In this article the optimization of the observational plan of local GPS networks (Second Order Design (SOD)) is considered using the precision criterion. This study is limited to the selection of optimal numbers and the best distribution of the non-trivial baselines throughout the network. This objective is accomplished based on the SOD solution through the analytical method in operational research by the means of quadratic programming algorithm. This presented method is tested on a real GPS network and appears to be a useful technique in terms of cost reduction in the field work by the provided observational plan and optimal distribution of the baselines throughout the network. Results indicate that weights of almost 36% of the baselines are negligiblewhen compared to the weights of the rest of the baselines; therefore, they could be eliminated fromthe observational plan, resulting in a 36% saving in the fieldwork cost.


2010 ◽  
Vol 37 (7) ◽  
pp. 941-954 ◽  
Author(s):  
E. de Rocquigny

Within the larger domain of risk or environmental assessment, uncertainty treatment is gaining growing interest in the fields of hydrological and hydraulic modeling. A generic approach to quantitative uncertainty is suggested, putting together the applicable decision-making framework and associated probabilistic formulations involving uncertainty modeling (possibly through an inverse approach), uncertainty propagation, and the ranking of importance or sensitivity analysis. Accordingly, a number of generic statistical, physical, and numerical methods could be more largely disseminated in the water domain. Two axes of particular potential interest are outlined: the tricky choice of differentiating according to the epistemological nature of the uncertainty, with considerable impact on the formulation of the risk criterion and the associated level of complexity; the challenges posed by uncertainty modeling in the context of data scarcity, and the corresponding calibration and inverse probabilistic techniques, bound to be developed to best value hydro-monitoring and data acquisition systems under uncertainty.


2012 ◽  
Vol 39 (9) ◽  
pp. 1083-1088 ◽  
Author(s):  
Xuesong Shen ◽  
Ming Lu

The state-of-the-art tracking technologies, such as the global positioning system (GPS) and the radio frequency identification (RFID), lend themselves well to applications in relatively open areas, while falling short of accuracy and reliability in indoor or partially covered application settings due to signal blockage, distortion or deterioration. This research aims to address this challenge in construction engineering by exploring a cost-effective positioning methodology to realize automated and continuous tracking of construction resources. The emerging ZigBee-based wireless sensor networks (WSN) technology is introduced. A framework of WSN application is proposed for indoor construction resources tracking, which consists of a group of stationary and mobile sensor nodes that can communicate with one another. Real-time locations of the mobile nodes can be determined by applying the localization method based on received signal strength indicator (RSSI) and geometric trilateration.


1983 ◽  
Vol 6 (6) ◽  
pp. 472-476 ◽  
Author(s):  
W. T. Higgins ◽  
D. C. Mossman ◽  
J. L. McClurg

The accurate localization of Internet of Vehicle (IoV) is essential for promoting safety on roads. IoVs are evolving Vehicular Adhoc NETwork (VANETs). The objective is to automate various security aspects and efficiency features in vehicular networks. In this study, we conduct a review of literature and investigate the techniques used for localization of IoVs on roads. This study identifies major issues occurring in localization of IoVs using Global Positioning Systems (GPS). The major challenges are; 1) To achieve high accuracy in localization. 2) To obtain Error free localization of IoVs. 3) Verification of location of IoVs. 4) Security and privacy of vehicle. In order to develop robust IoVs, these issues are to be addressed efficiently. Various researchers have made the contribution by developing numerous algorithms and techniques. This paper reviews the techniques being deployed to overcome the challenges and reports the trends and patterns already set in the field of localization of IoVs. Our paper summarizes the worthy work done by researchers in this field and lays the necessary foundation for the improved implementation of novel and more efficient techniques.


2021 ◽  
Author(s):  
Zoë Antonia Lepiano

Over her forty-year career photographer Sally Mann (b. 1951) has become synonymous with black-and white large format photography and nineteenth-century processes, used to depict her family, their environment, and the landscapes of the southern U.S.A. Yet Mann has worked with a variety of processes including colour. This thesis focuses on the printed Cibachromes and unprinted colour transparencies, taken between 1990 and 1994, that make up Mann’s Family Color collection, part of Family Pictures series, the well-known black-and-white photographs of her three children. It outlines work done in situ in the artist’s archive, the consequent discovery of a number of unprinted colour transparencies, and their integration into Mann’s studio through digitization and organization of the collection. An exploration of the production and exhibition history of Family Color is followed by a close-reading of a selection of printed colour photographs from the series, as well as the newly discovered, unprinted images. These comparisons enable the series to be situated within Mann’s larger practice opening up areas for future research.


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