SPP OBSERVATION DATA

Citation Author(s):
JEAN GERALD VINCENT
ETIBOU
POLYMTL
SAMUEL
PIERRE
POLYMTL
Submitted by:
JEAN GERALD VIN...
Last updated:
Fri, 07/21/2023 - 17:07
DOI:
10.21227/j1ye-bh82
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Abstract 

This paper introduces an assessment of mobile Internet of Things (IoT) devices embedded with Global Positioning Service (GPS) / Global Navigation Satellite System (GNSS) chip, envisioned to enhance positioning accuracy for safety and on-demand location aware user applications and architecture such as mobile payment applications. This paper extends previous works and proposes a detailed Hybrid assessment, coupling design and performance metrics of Global Navigation Satellite System (GNSS) mobile IoT receivers. The performance evaluation of multi-band mobile GPS/GNSS receivers demonstrated accuracy and precision capabilities for the GNSS observables. Upon those findings, a broad list of performance indicators, metrics and designs parameters are suggested in this paper for future modeling of GNSS tools. The raw GNSS measurements on the RINEX-3.00 format are analyzed using the GNSS-Lab data processing tool (gLAB) and Google GNSS analysis tool. The results show that the multi-band embedded GPS IoT mobile devices outperform single band inbuilt GPS. Moreover, multi-embedded GPS IoT devices offer the best geolocation for on-demand location services in mobile payment applications. The work in this paper can be used to identify the best IoT embedded GPS device recommendation in IoT-based architecture applications such as mobile payment.

Instructions: 

Step 1:

Check the GNSS capabilities of your smartphone. Measured parameters including Model name, Android version, Accumulated delta range, Automatic gain control, Navigation messages, HW clock, L5 and GNSS constellations.

Step 2:

Uses the most recent Android API services to log your device's raw GNSS measurement data into a RINEX file including pseudoranges, accumulated delta ranges, doppler frequencies and noise values. So far, it supports GPS/GLONASS/GALILEO/BDS/QZSS for L1/L5/E1B/E1C/E5A (as supported by the device) and has been successfully tested on many devices.

Step 3:

The files are stored in the directory inside the root directory of your internal storage.

Step 4:

To process RINEX data and obtain both GPS standalone or Simple Point Positioning (SPP) solutions : the gLAB tool, Google Gnss analysis tool.

 

Funding Agency: 
Natural Science and Engineering Research Council of Canada

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Submitted by JEAN GERALD VIN... on Fri, 07/21/2023 - 17:00