Using MEMS Sensors to Enhance Positioning When the GPS Signal Disappears

Grzechca, Damian; Tokarz, Krzysztof; Paszek, Krzysztof; Poloczek, Dawid

doi:10.1007/978-3-319-67077-5_25

Cited by 6 publications

(3 citation statements)

References 14 publications

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“…Values about delay and information about movement direction (using e.g. MEMS sensors [7]) can be used for position prediction between the successive position from UWB system.…”

Section: Measure the Value Of The Resultsmentioning

confidence: 99%

“…There are technologies that, due to their accuracy, play an assisting role (e.g. Microelectromechanical systems (MEMS) [7], Wi-Fi [8][9][10] or GSM [11] as GPS assist systems). Finally, there are attempts to use various other systems for the role of localization systems such as Bluetooth [12][13][14][15], Zigbee [16,17], Infrared [18], Vision systems [19][20][21] etc.. As you can see, most of the available systems are implemented in IPS, and their use outside closed spaces meets with many limitations, such as operating range (Bluetooth, Zigbee, Infrared), stability (MEMS) or required technical facilities (vision systems).…”

Section: Introductionmentioning

confidence: 99%

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The Concept of Comprehensive Data Analysis from Ultra-Wideband Subsystem for Smart City Positioning Purposes

Grzechca¹,

Hanzel²,

Paszek³

2018

Preprint

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As a part of the proposed article, the authors presented comprehensive data analysis for movement data that comes from a positioning system based on ultra-wide band (UWB) technology. For purpose of this article, a test was carried out during which the car equipped with cruise control overcame the given path at a speed from 10 km/h to 60 km/h. The obtained motion models (information about position) have been filtered through a series of filters - from fundamentals filters with a variable window (median, moving average, Savitzky-Golay filter), through more complex ones like the Wiener or Kalman filter. As a result, the authors proposed a form of data analysis and filtration depending on the speed of the moving object. In addition, the maximum accuracy that can be obtained for a given traffic model was also determined. The whole research proves that it is possible to use a system based on UWB technology in positioning objects for urban applications - smart city, in industry 4.0 applications as well as for positioning autonomous vehicles in urban applications, such as well as on highways to maintain cohesion of convoys vehicles.

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“…Values about delay and information about movement direction (using e.g. MEMS sensors [7]) can be used for position prediction between the successive position from UWB system.…”

Section: Measure the Value Of The Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

The Concept of Comprehensive Data Analysis from Ultra-Wideband Subsystem for Smart City Positioning Purposes

Grzechca¹,

Hanzel²,

Paszek³

2018

Preprint

Self Cite

View full text Add to dashboard Cite

show abstract

“…It uses the RSS indicator (RSSI) to show the wireless signal strength according to the presence of a node. Additionally, in order to improve the positioning accuracy, it fuses with many MEMS sensors [ 9 ] including accelerometer, gyroscope, etc. The other one is non–node-based localization, which is based on geomagnetic strength [ 10 , 11 , 12 ] and does not need a separate transmitter/receiver.…”

Section: Introductionmentioning

confidence: 99%

Real-Time Recursive Fingerprint Radio Map Creation Algorithm Combining Wi-Fi and Geomagnetism

Seong

Seo

2018

Sensors

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Fingerprint is a typical indoor-positioning algorithm, which measures the strength of wireless signals and creates a radio map. Using this radio map, the position is estimated through comparisons with the received signal strength measured in real-time. The radio map has a direct effect on the positioning performance; therefore, it should be designed accurately and managed efficiently, according to the type of wireless signal, amount of space, and wireless-signal density. This paper proposes a real-time recursive radio map creation algorithm that combines Wi-Fi and geomagnetism. The proposed method automatically recreates the radio map using geomagnetic radio-map dual processing (GRDP), which reduces the time required to create it. It also reduces the size of the radio map by actively optimizing its dimensions using an entropy-based minimum description length principle (MDLP) method. Experimental results in an actual building show that the proposed system exhibits similar map creation time as a system using a Wi-Fi–based radio map. Geomagnetic radio maps exhibiting over 80% positioning accuracy were created, and the dimensions of the radio map that combined the two signals were found to be reduced by 23.81%, compared to the initially prepared radio map. The dimensions vary according to the wireless signal state, and are automatically reduced in different environments.

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Modern Warehouse and Delivery Object Monitoring – Safety, Precision, and Reliability in the Context of the Use the UWB Technology

Hanzel

2023

Information Systems

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Using MEMS Sensors to Enhance Positioning When the GPS Signal Disappears

Cited by 6 publications

References 14 publications

The Concept of Comprehensive Data Analysis from Ultra-Wideband Subsystem for Smart City Positioning Purposes

The Concept of Comprehensive Data Analysis from Ultra-Wideband Subsystem for Smart City Positioning Purposes

Real-Time Recursive Fingerprint Radio Map Creation Algorithm Combining Wi-Fi and Geomagnetism

Modern Warehouse and Delivery Object Monitoring – Safety, Precision, and Reliability in the Context of the Use the UWB Technology

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