Opportunities to reduce random error satellite geolocation due to averagement of data received by U-BLOX NEO-6M-0-001 gps receiver with external active antenna
Petro Hryhorovsky, S. Inosov, Mykola Samoilenko, Andriy Wolters, Andriy Zaprivoda
{"title":"Opportunities to reduce random error satellite geolocation due to averagement of data received by U-BLOX NEO-6M-0-001 gps receiver with external active antenna","authors":"Petro Hryhorovsky, S. Inosov, Mykola Samoilenko, Andriy Wolters, Andriy Zaprivoda","doi":"10.32347/2412-9933.2023.55.186-191","DOIUrl":null,"url":null,"abstract":"In our time, problems of accurate positioning of objects, equipment and cargo arise more and more often. These are the tasks of logistics and precision farming and, a separate group of tasks, positioning during earthworks in construction: pits, arrangement of pile fields, etc. If a positioning accuracy of 10 m is quite sufficient for logistics tasks, monitoring the movement of transport and cargo, then for construction tasks, an accuracy of 10 cm is required, and building monitoring tasks require a millimeter accuracy. This work is devoted to increasing the accuracy of satellite geolocation by reducing the random error of the receiver. A budget receiver with a price of about $5 was chosen for the study, from which data on the current geolocation was recorded. The data from the receiver contains a random error, which was eliminated by averaging the result. Studies have shown that with small averaging intervals, the error remains, although it decreases; as the averaging interval increases, the error decreases, however, up to a certain width of the interval; a further increase in the averaging interval ceases to affect the magnitude of the error. It is optimal to average the results in the interval from 1000 to 2000.","PeriodicalId":321731,"journal":{"name":"Management of Development of Complex Systems","volume":"18 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2023-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Management of Development of Complex Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.32347/2412-9933.2023.55.186-191","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
In our time, problems of accurate positioning of objects, equipment and cargo arise more and more often. These are the tasks of logistics and precision farming and, a separate group of tasks, positioning during earthworks in construction: pits, arrangement of pile fields, etc. If a positioning accuracy of 10 m is quite sufficient for logistics tasks, monitoring the movement of transport and cargo, then for construction tasks, an accuracy of 10 cm is required, and building monitoring tasks require a millimeter accuracy. This work is devoted to increasing the accuracy of satellite geolocation by reducing the random error of the receiver. A budget receiver with a price of about $5 was chosen for the study, from which data on the current geolocation was recorded. The data from the receiver contains a random error, which was eliminated by averaging the result. Studies have shown that with small averaging intervals, the error remains, although it decreases; as the averaging interval increases, the error decreases, however, up to a certain width of the interval; a further increase in the averaging interval ceases to affect the magnitude of the error. It is optimal to average the results in the interval from 1000 to 2000.