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LSS-RM: Using Multi-Mounted Devices to Construct a Lightweight Site-Survey Radio Map for WiFi Positioning
- Source :
- Micromachines, Vol 9, Iss 9, p 458 (2018), Micromachines, Volume 9, Issue 9
- Publication Year :
- 2018
- Publisher :
- MDPI AG, 2018.
-
Abstract
- A WiFi-received signal strength index (RSSI) fingerprinting-based indoor positioning system (WiFi-RSSI IPS) is widely studied due to advantages of low cost and high accuracy, especially in a complex indoor environment where performance of the ranging method is limited. The key drawback that limits the large-scale deployment of WiFi-RSSI IPS is time-consuming offline site surveys. To solve this problem, we developed a method using multi-mounted devices to construct a lightweight site-survey radio map (LSS-RM) for WiFi positioning. A smartphone was mounted on the foot (Phone-F) and another on the waist (Phone-W) to scan WiFi-RSSI and simultaneously sample microelectromechanical system inertial measurement-unit (MEMS-IMU) readings, including triaxial accelerometer, gyroscope, and magnetometer measurements. The offline site-survey phase in LSS-RM is a client&ndash<br />server model of a data collection and preprocessing process, and a post calibration process. Reference-point (RP) coordinates were estimated using the pedestrian dead-reckoning algorithm. The heading was calculated with a corner detected by Phone-W and the preassigned site-survey trajectory. Step number and stride length were estimated using Phone-F based on the stance-phase detection algorithm. Finally, the WiFi-RSSI radio map was constructed with the RP coordinates and timestamps of each stance phase. Experimental results show that our LSS-RM method can reduce the time consumption of constructing a WiFi-RSSI radio map from 54 min to 7.6 min compared with the manual site-survey method. The average positioning error was below 2.5 m with three rounds along the preassigned site-survey trajectory. LSS-RM aims to reduce offline site-survey time consumption, which would cut down on manpower. It can be used in the large-scale implementation of WiFi-RSSI IPS, such as shopping malls, hospitals, and parking lots.
- Subjects :
- Computer science
lcsh:Mechanical engineering and machinery
Real-time computing
02 engineering and technology
01 natural sciences
Article
law.invention
MEMS-IMU accelerometer
Indoor positioning system
law
0202 electrical engineering, electronic engineering, information engineering
Calibration
lcsh:TJ1-1570
Electrical and Electronic Engineering
zero-velocity update
Mechanical Engineering
010401 analytical chemistry
ComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKS
Process (computing)
indoor positioning
020206 networking & telecommunications
Gyroscope
Ranging
0104 chemical sciences
WiFi-RSSI radio map
Control and Systems Engineering
step detection
Trajectory
Step detection
Timestamp
stride length estimation
Subjects
Details
- Language :
- English
- Volume :
- 9
- Issue :
- 9
- Database :
- OpenAIRE
- Journal :
- Micromachines
- Accession number :
- edsair.doi.dedup.....fcd945fac96f1c57d3854a1df4160d69