Comparative Analysis of Low-Cost GNSS OEM Board K706 AND BX316 (Case Study: Bulusidokare Village Sidoarjo Regency)

Self Cite

Global Navigation Satellite System (GNSS) is a tool that can assist community activities, especially in navigation and positioning for mapping surveys. This tool has an accuracy of up to millimeters for determining the position of latitude and longitude, but to get this accuracy requires an expensive cost, which is more than 200 million rupiah. Currently the development of GNSS receivers is very rapid, one of which is a low-cost GNSS product. The advantages of this receiver are that it has a low cost, light weight and an accuracy of up to centimeters for determining latitude and longitude positions. In this study, we have conducted trials using a low-cost GNSS receiver from several products such as U-blox, Trimble, and Comnav. For products from U-blox in this study, the F9P and F9R series were used. The F9R series is one of the receivers that has been integrated with the inertial measurement unit (IMU)/inertial navigation system (INS), the benefit of this integration is to improve position accuracy when data collection using the kinematic method. Products from U-blox have position accuracy below 1 meter. Meanwhile, the series used in Trimble and Comnav products are Trimble BD982 and Comnav Oem Board K708 which have accuracy below 1 centimeter. The purpose of this activity is to compare all these receivers by using Comnav OEM Board K708 data as validation data. Several parameters in this study will be analyzed such as the number of satellites obtained by the receiver, position accuracy and various other analyzes. The measurement methods that will be carried out in this study are static differential and Real Time Kinematic (RTK) measurements that utilize direct corrections from Continuously Operating Reference Stations (CORS) and deformation observations. The results of the first analysis obtained in this activity are the number of satellites obtained by the U-blox F9 series receiver which is more stable to receive satellites, namely as many as 24-29 satellites, then Trimble BD982 as many as 2-32 satellites, and Comnav K708 receivers as many as 3-28 satellites. Meanwhile, the Dilution Of Precision (DOP) values for 4 receivers, namely K708, F9P, and F9R, have stable values ranging from 0.5-1 compared to the BD982 receiver which fluctuated in several observation epochs, especially in the last observation epoch. In observations using the static differential method, using corrections from CORS for positioning this receiver can be used because the difference in position data is in the range of 0.009 m - 0.040 m from reference data (receiver K708). Meanwhile, the data receiver that has been integrated with IMU/INS (F9R) kinematic method has the smallest position difference value (K708) compared to other receivers, which is from 0.001 m - 8.091 m. In testing for deformation measurements, further research needs to be done because the data obtained is still in the form of a simulation.

Section: Preliminarymentioning

confidence: 99%

Section: Experiments 1 (Static Survey and Monitoring Deformation)mentioning

confidence: 99%

Low Cost GNSS Trimble BD982 and U-blox Performance Test Analysis F9 Series for Several Measurement Methods (Case Study: Sidoarjo Regency)

Ubaidillah¹,

Cahyadi²

2022

Self Cite

“…Besides that, there has been a solution to reduce the cost of GNSS observation through the increasing availability of low-cost GNSS in recent years. In specific applications, low-cost instruments can perform satisfactorily comparable to geodetic instruments [7][8][9]. Although GNSS positioning works well in real-world applications, GNSS signals may suffer from satellite signal outage, jamming, interference, and multipath, especially in urban canyons, tunnels, and/or similar environments, which poses a major challenge for high-accuracy positioning [10].…”

Section: Introductionmentioning

confidence: 99%

GNSS/IMU Sensor Fusion Performance Comparison of a Car Localization in Urban Environment Using Extended Kalman Filter

Erfianti

Asfihani

Suhandri

2023

Global Navigation Satellite System (GNSS) and Inertial Measurement Unit (IMU) are popular navigation sensor for position fixing technique and dead reckoning system that complement each other. GNSS can provide accurate position and velocity information when it establishes a Line of Sight (LOS) with a minimum of four satellites. However, this accuracy can decrease due to signal outage, jamming, interference, and multipath effects. On the other hand, the IMU has the advantage of measuring the platform’s orientation with a high-frequency update and is not affected by environmental conditions. However, a drift effect causes the measurement errors to accumulate. Several studies have demonstrated the fusion of both sensors in terms of the Extended Kalman Filter (EKF). This study conduct sensor fusion for car localization in an urban environment based on the loosely coupled integration scheme. In order to improve the sensor fusion performance, pre-processing GNSS and IMU data were applied. The result shows that pre-processing DGNSS and IMU filtering can increase the accuracy of the integrated navigation solution up to 80.02% in the east, 80.13% in the north, and 89.45% in the up direction during the free outage period.

“…Low-cost GNSS has also been used in several studies. Some of them are land measurements, I-boat navigation and various other measurement activities with accuracy reaching the order of centimeters in real-time kinematic measurements [3][4][5][6].…”

Section: Introductionmentioning

confidence: 99%

Asset Monitoring of Water Meters Using Integration of GIS and Low-Cost GNSS

Susanto

Raharjo

Haq

2023

The high growth rate of the City of Surabaya increases the use of clean water services. The Regional Drinking Water Company (PDAM) of Surya Sembada, as the main provider of clean water in the city of Surabaya and its surroundings needs to carry out optimal asset management to maintain the expected level of service. In this study, an analysis of the condition of PDAM Surabaya’s assets will be carried out on a WebGIS platform that is connected to a database for optimal and sustainable PDAM water meter asset management. Location, water consumption history, and condition data of water meter assets from January to April 2022 are recorded using an Android-based GIS application that is connected to low-cost GNSS. The data recorded in the android application is integrated with WebGIS in real time for accurate positioning and cost-effective asset monitoring. Analysis of asset conditions will be carried out in the form of risk analysis to determine the risk of an asset in each service zone. The resulting data shows that zone 102, 104 and 105 was categorized as a very high risk zone for meter failure. This means, that there are a higher probability of a meter failure incident within that subzones