Real-time averaging of position data from multiple GPS receivers

Schrader, Daniel K.; Min, Byung‐Cheol; Matson, Eric T.; Dietz, J. Eric

doi:10.1016/j.measurement.2016.04.028

Cited by 10 publications

(2 citation statements)

References 9 publications

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“…In addition to using Kalman Filter to stabilize GPS devices, the other interesting method was averaging outcomes from more than one GPS device for more statistically accurate results and for the inaccuracy distribution to be nearer to Normal Distribution compared with using only one GPS device [18]. The third experiment was using Extended Kalman Filter with several Low-cost GPS receivers to increase the efficiency of GPS devices on UAVs by installing one u-box GPS receiver on each arm of the quadrotor, and one more on the center point, totaling five receivers.…”

Section: Introductionmentioning

confidence: 99%

An Experiment for Outdoor GPS Localization Enhancement using Kalman Filter with Multiantenna Consumer-Grade Sensors

Singkhamfu¹,

Suwansrikham²

2021

IJACSA

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Consumer-Grade global positioning system (GPS) is widely used in many domains. The obvious issue of this consumer-grade device is low accuracy and reading fluctuation results. In terms of using an application that requires a more precise location, the output could be difficult. In this study, the authors deploy various methods to reduce the global positioning system data fluctuation and present field test results. Two main types of the device worked together to collect data from global positioning systems, such as Microcontroller for algorithm processing and presenting data and global positioning system receivers for receiving data from a satellite. We combine three global positioning system modules to received signals in a single device and test calculated data compared with the Kalman filtering methods in many cases, including moving and static devices. Implementing the Standard Kalman Filter to multiple global positioning system Modules has improved the constancy of cheap global positioning system equipment. The experiment algorithm is presented significant improvement to overcome the retrieved data fluctuation problem. This study's contribution will enable creating a cheap global positioning system locator device for various applications that require more accuracy than the standard consumer-grade receiver.

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Section: Introductionmentioning

confidence: 99%

An Experiment for Outdoor GPS Localization Enhancement using Kalman Filter with Multiantenna Consumer-Grade Sensors

Singkhamfu¹,

Suwansrikham²

2021

IJACSA

View full text Add to dashboard Cite

show abstract

“…The use of additional similar observations improves estimation accuracy by averaging the effect from different errors in observation. In [17,18], inexpensive multiple GPS receivers were integrated by simply averaging the calculated positions and incorporating raw measurements into them in open sky conditions. The results showed that position performance improved in terms of accuracy and availability.…”

Section: Introductionmentioning

confidence: 99%

Performance Enhancement of Land Vehicle Positioning Using Multiple GPS Receivers in an Urban Area

Song

Jee

2016

Sensors

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The Global Positioning System (GPS) is the most widely used navigation system in land vehicle applications. In urban areas, the GPS suffers from insufficient signal strength, multipath propagation and non-line-of-sight (NLOS) errors, so it thus becomes difficult to obtain accurate and reliable position information. In this paper, an integration algorithm for multiple receivers is proposed to enhance the positioning performance of GPS for land vehicles in urban areas. The pseudoranges of multiple receivers are integrated based on a tightly coupled approach, and erroneous measurements are detected by testing the closeness of the pseudoranges. In order to fairly compare the pseudoranges, GPS errors and terms arising due to the differences between the positions of the receivers need to be compensated. The double-difference technique is used to eliminate GPS errors in the pseudoranges, and the geometrical distance is corrected by projecting the baseline vector between pairs of receivers. In order to test and analyze the proposed algorithm, an experiment involving live data was performed. The positioning performance of the algorithm was compared with that of the receiver autonomous integrity monitoring (RAIM)-based integration algorithm for multiple receivers. The test results showed that the proposed algorithm yields more accurate position information in urban areas.

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Technique for order performance by similarity to ideal solution for solving complex situations in multi-criteria optimization of the tracking channels of GPS baseband telecommunication receivers

Jumaah

Zaidan

et al. 2017

Telecommun Syst

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Real-time averaging of position data from multiple GPS receivers

Cited by 10 publications

References 9 publications

An Experiment for Outdoor GPS Localization Enhancement using Kalman Filter with Multiantenna Consumer-Grade Sensors

An Experiment for Outdoor GPS Localization Enhancement using Kalman Filter with Multiantenna Consumer-Grade Sensors

Performance Enhancement of Land Vehicle Positioning Using Multiple GPS Receivers in an Urban Area

Technique for order performance by similarity to ideal solution for solving complex situations in multi-criteria optimization of the tracking channels of GPS baseband telecommunication receivers

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