scholarly journals Purwarupa Portable Global Positioning System

Author(s):  
Haniah . ◽  
Agfianto Eko Putra

AbstrakTelah dibuat sebuah sistem GPS portable menggunakan receiver GPS serta tampilan LCD 128X64. Sistem ini dapat membantu pengguna untuk mengetahui posisi mereka berada agar tidak tersesat. Sistem ini menampilkan data latitude, longitude, kecepatan dan waktu yang ditampilkan pada LCD 128X64. Sehingga pengguna bisa mengetahui posisi mereka dengan melihat posisi garis lintang dan garis bujur. Sistem ini dibuat dengan menggunakan mikrokontroler ATmega32 sebagai pemroses, GPS receiver Polstar PMB-688 untuk menerima data posisi dari satelit dan LCD 128X64 sebagai penampil. Sistem yang dibuat telah mampu menampilkan posisi garis lintang, garis bujur dan kecepatan secara akurat. Deviasi rata-rata untuk GPS portabel dibanding dengan GPS garmin adalah 1,753449 m ± 0,113532 m sedangkan deviasi rata-rata untuk kecepatan adalah 0,441 km/j ± 0,247 km/j.   Kata kunci— GPS, Posisi, Polstar PMB-688, Atmega32, Mikrokontroler.  Abstract Has created a portable GPS system uses a GPS receiver as well as an LCD display 128X64. This system can help users to identify where they are located so as not to get lost. This system displays the latitude, longitude, speed and time are displayed on the LCD 128X64. So users can know their position by looking at the position of latitude and longitude. This system using microcontroller ATmega32 as processor, GPS receiver Polstar PMB-688 to receive position data from satellites and LCD 128X64 as a viewer. The system is already capable of showing the position of the latitude, longitude and speed accurately. Average deviation for GPS portable than static point is 1.753449 m ± 0.113532 m while the average deviation for speed is 0.441000 kmh ± 0.247000 kmh. Keywords— GPS, Position, Polstar PMB-688, Atmega32, Mikrocontroller.

2019 ◽  
Vol 7 (1) ◽  
pp. 22-33
Author(s):  
Petrisly Perkasa

As been coming ages, modern technology integrates into every life aspect including in field survey. Nowadays, one of the modern technology namely Global Positioning System (GPS). The GPS system was first developed by the US Department of Defense used for both military and civilian purposes. This system is designed to provide threedimensional position, speed, and information about world which is not affected by time and weather. Presently, GPS has been widely used by people all over the world who is need information about position, speed or time. To determine the coordinates of points on earth, the receiver requires at least 4 satellites to capture the signal correctly with the coordinates obtained referring to the global datum such World Geodetic System 1984 (WGS'84). GPS is divided into 3 types: Type of navigation or handheld, generally used in battle field or navigation purposes. Some vehicles have been equipped with GPS for navigation aids by adding a map to guide the rider thus rider know which pathway should be chosen to arrived at the destination. GPS mapping is a GPS tool used to calculate an area or create an important route in transit. Type Mapping has an accuracy level between 1-3 meters and mapping types require a base station serving to receive satellite signals and transmit them to a GPS receiver. Geodetic type is the most meticulous and most sophisticated type than navigation or mapping because it has a level of accuracy below 1 meter. The price of geodetic type is most expensive.


2021 ◽  
pp. 1-18
Author(s):  
Mariusz Specht

Abstract Research into statistical distributions of φ, λ and two-dimensional (2D) position errors of the global positioning system (GPS) enables the evaluation of its accuracy. Based on this, the navigation applications in which the positioning system can be used are determined. However, studies of GPS accuracy indicate that the empirical φ and λ errors deviate from the typical normal distribution, significantly affecting the statistical distribution of 2D position errors. Therefore, determining the actual statistical distributions of position errors (1D and 2D) is decisive for the precision of calculating the actual accuracy of the GPS system. In this paper, based on two measurement sessions (900,000 and 237,000 fixes), the distributions of GPS position error statistics in both 1D and 2D space are analysed. Statistical distribution measures are determined using statistical tests, the hypothesis on the normal distribution of φ and λ errors is verified, and the consistency of GPS position errors with commonly used statistical distributions is assessed together with finding the best fit. Research has shown that φ and λ errors for the GPS system are normally distributed. It is proven that φ and λ errors are more concentrated around the central value than in a typical normal distribution (positive kurtosis) with a low value of asymmetry. Moreover, φ errors are clearly more concentrated than λ errors. This results in larger standard deviation values for φ errors than λ errors. The differences in both values were 25–39%. Regarding the 2D position error, it should be noted that the value of twice the distance root mean square (2DRMS) is about 10–14% greater than the value of R95. In addition, studies show that statistical distributions such as beta, gamma, lognormal and Weibull are the best fit for 2D position errors in the GPS system.


INSIST ◽  
2019 ◽  
Vol 4 (1) ◽  
pp. 195
Author(s):  
Malikul Fanani ◽  
Kukuh Priambodo ◽  
Iklil Sulaiman ◽  
Sumardi Sumardi

In Indonesia, the number of death of accident is still pretty high with most of 70% the traffic accident is motorcycle driver who is late in getting aid and the head injury is the first order of all types of experiencing by the accident victim. Prehospital Care is an emergency service when the victim is firstly found, during the process of the transportation until the patient arrives at the hospital Thus, the purpose of this research is the application of GPS (Global Positioning System) and SMS gateway on the safety helmet in order to increase the aid post-accident. The application of GPS has an advantage to receive data from the satellite which next will be stored on arduino microcontroller. Microcontroller will retrieve the driver location data in the forms of latitude, longitude and time. Next, the driver location will be sent by microcontroller via SMS gateway service to the nearest hospital and the victim's family to make the evacuation process easy. This research is tested along the travel of Jember-Lumajang regency. The result of this research is the GPS application on the safety helmet can be applied well. The transmission of driver position coordinate data if the accident happened via sending media of SMS can be applied along with GSM signal from the provider so that the SMS sending works well.


2013 ◽  
Vol 6 (1) ◽  
pp. 767-793
Author(s):  
A. Barreto ◽  
E. Cuevas ◽  
B. Damiri ◽  
P. M. Romero ◽  
F. Almansa

Abstract. In this paper we present the preliminary results of atmospheric column integrated water vapor (PWV) obtained with a new Lunar Cimel photometer (LC) at the high mountain Izaña Observatory in the period July–August, 2011. We have compared nocturnal PWV from LC with PWV from a Global Positioning System (GPS) receiver and nighttime radiosondes (RS92). LC data have been calibrated using the Lunar Langley Method (LLM). We complemented this comparative study using quasi-simultaneous daytime PWV from Cimel AERONET (CA), GPS and RS92. Comparison of daytime PWV from CA shows differences against GPS and RS92 up to 0.18 cm. Two different filters, with and approximate bandwidth of 10 nm and central wavelengths at 938 nm (Filter#1) and 937 nm (Filter#2), were mounted into the LC. Filter#1 is currently used in operational AERONET sunphotometers. PWV obtained with LC-Filter#1 showed an overestimation above 0.18 and 0.25 cm compared to GPS and RS92, respectively, meanwhile Filter#2, with a reduced out-of-band radiation, showed very low differences compared with the same references (≤0.03 cm). These results demonstrate the ability of the new lunar photometer to obtain accurate and continuous PWV measurements at night in addition to the notably influence of the filter's transmissivity response on PWV determination at nighttime. The use of enhanced bandpass filters in lunar photometry, which is affected by more important inaccuracies than sun-photometry, is necessary to infer PWV with similar precision than AERONET.


2009 ◽  
Vol 20 (7) ◽  
pp. 075105 ◽  
Author(s):  
Ta-Kang Yeh ◽  
Cheinway Hwang ◽  
Guochang Xu ◽  
Chuan-Sheng Wang ◽  
Chien-Chih Lee

Author(s):  
P.J. Zabinski ◽  
B.K. Gilbert ◽  
P.J. Zucarelli ◽  
D.V. Weninger ◽  
T.W. Keller

Author(s):  
Kirstin L. Rock ◽  
Sven A. Beiker ◽  
Shad Laws ◽  
J. Christian Gerdes

The increasingly widespread use of the Global Positioning System (GPS) in determining the location of vehicles raises the possibility of using the information provided by GPS for vehicle control purposes. The use of a multi-antenna GPS system provides the ability to measure not only position and velocity, but vehicle heading and sideslip as well. This paper presents a validation of a GPS based system with an automotive grade two-axis optical sensor. The results show excellent agreement between the two sensor systems, confirming the accuracy of the GPS based system even in highly dynamic situations. Although any GPS based system is subject to dropouts from driving under trees and bridges, cornering stiffness estimates obtained when GPS is available enable construction of a vehicle state observer for use in the absence of GPS.


Author(s):  
Thobias Sando ◽  
Renatus Mussa ◽  
John Sobanjo ◽  
Lisa Spainhour

Global positioning system (GPS) has been identified as a potential tool for capturing crash location data. This study quantifies factors that could affect the accuracy of GPS receivers. The results showed that GPS receiver orientation, site obstructions, and weather have significant effects on the accuracy of GPS receivers. Time of day and number of satellites were not found to significantly affect the accuracy of GPS receivers. HDOP values of 1.2 or less were found to be adequate for crash location purposes. An accuracy improvement of 20.7% was realized by filtering GPS data based on HDOP values.


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