Method of indoor navigation and collaborative semi-automatic Wi-Fi radiomap construction

2018 ◽  
pp. 95-104
Author(s):  
M. S. Shchekotov
Keyword(s):  
Model Calibration ◽  
Path Loss ◽  
Indoor Navigation ◽  
Low Energy ◽  
Loss Model ◽  
Bluetooth Low Energy ◽  
Path Loss Model ◽  
Automatic Construction ◽  
Map Construction ◽  
Radio Map

Introduction:An important and complicated problem related to the multilateration of Wi-Fi or Bluetooth Low Energy signals as well as Wi-Fi fingerprinting is the procedure of infrastructure adjustment which includes Wi-Fi radio map construction and Wi-Fi or Bluetooth Low Energy radio signal path loss model calibration.Purpose:Developing a method for navigation and Wi-Fi radio map construction, which would provide user’s indoor navigation, Bluetooth Low Energy path loss model calibration and Wi-Fi radio map collaborative semi-automatic construction.Results:The paper presents a collaborative semi-automatic Wi-Fi radio map construction method based on the combination of Bluetooth Low Energy multilateration, Wi-Fi fingerprinting, Wi-Fi radio map collaborative semiautomatic construction procedure and semi-automatic Bluetooth Low Energy path loss model calibration. For the semi-automatic calibration procedure of the Bluetooth Low Energy signal propagation model and for the method of collaborative semi-automatic construction of Wi-Fi radio map and indoor navigation, a calibration algorithm and an algorithm of collaborative semi-automatic construction of Wi-Fi radio map and indoor navigation were proposed, respectively. A mobile application has been developed which implements the proposed algorithms in order to test them and analyze the results.Practical relevance:The proposed method allows you to avoid time-consuming procedures of constructing a map of Wi-Fi radio signals and semi-automatic calibration of Bluetooth Low Energy signal propagation in the offline phase.

scholarly journals Fast Radio Map Construction by using Adaptive Path Loss Model Interpolation in Large-Scale Building

Sensors ◽  
2019 ◽  
Vol 19 (3) ◽  
pp. 712 ◽  
Author(s):  
Jingxue Bi ◽  
Yunjia Wang ◽  
Zengke Li ◽  
Shenglei Xu ◽  
Jiapeng Zhou ◽  
...  
Keyword(s):  
Small Area ◽  
Least Squares Method ◽  
Path Loss ◽  
Reference Points ◽  
Kriging Interpolation ◽  
Positioning Accuracy ◽  
Loss Model ◽  
Path Loss Model ◽  
Map Construction ◽  
Radio Map

The radio map construction is usually time-consuming and labor-sensitive in indoor fingerprinting localization. We propose a fast construction method by using an adaptive path loss model interpolation. Received signal strength (RSS) fingerprints are collected at sparse reference points by using multiple smartphones based on crowdsourcing. Then, the path loss model of an access point (AP) can be built with several reference points by the least squares method in a small area. Afterwards, the RSS value can be calculated based on the constructed model and corresponding AP’s location. In the small area, all models of detectable APs can be built. The corresponding RSS values can be estimated at each interpolated point for forming the interpolated fingerprints considering RSS loss, RSS noise and RSS threshold. Through combining all interpolated and sparse reference fingerprints, the radio map of the whole area can be obtained. Experiments are conducted in corridors with a length of 211 m. To evaluate the performance of RSS estimation and positioning accuracy, inverse distance weighted and Kriging interpolation methods are introduced for comparing with the proposed method. Experimental results show that our proposed method can achieve the same positioning accuracy as complete manual radio map even with the interval of 9.6 m, reducing 85% efforts and time of construction.

scholarly journals Evaluation of Distance Error with Bluetooth Low Energy Transmission Model for Indoor Positioning

2021 ◽  
Author(s):  
Pichaya Supanakoon ◽  
Sathaporn Promwong
Keyword(s):  
Path Loss ◽  
Multipath Fading ◽  
Indoor Positioning ◽  
Low Energy ◽  
Location Based Services ◽  
Loss Model ◽  
Bluetooth Low Energy ◽  
Path Loss Model ◽  
Distance Error ◽  
Proposed Model

Currently, an indoor positioning is a challenge application for location-based services (LBS) and proximity-based services (PBS). However, the indoor channel has dense multipath fading, causing more distance error than outdoor positioning. In this paper, the distance error analysis model is proposed for indoor positioning. The indoor channel is modeled as the sum of path loss model and multipath fading model. The path loss model is a linear regression model (LRM) based on Friis’ transmission formula, used for estimating the distance from received signal strength (RSS). The multipath fading is a Gaussian statistical model with zero mean, used for characterizing the multipath fading effect. The normalized distance error is evaluated and defined. The indoor channel with Bluetooth low energy (BLE) beacons is measured and compared with the proposed model. From the results, the normalized distance error obtained from the proposed model corresponds very well to measurement. This proposed model can be used as a tool for designing an indoor positioning system to obtain the specific distance error.

A low cost radio platform for path loss model calibration

2018 ◽  
Author(s):  
Liliana Anchidin ◽  
Razvan Tamas ◽  
Antonio Sorin TASU ◽  
Mirel Paun ◽  
Ana Savu ◽  
...  
Keyword(s):  
Model Calibration ◽  
Low Cost ◽  
Path Loss ◽  
Loss Model ◽  
Path Loss Model

Radio map fingerprint algorithm based on a log-distance path loss model using WiFi and BLE

2016 ◽  
Vol 40 (1) ◽  
pp. 62-68 ◽  
Author(s):  
Ju-Hyeon Seong ◽  
Teak-Gu Gwun ◽  
Seung-Hee Lee ◽  
Jeong-Woo Kim ◽  
Dong-hoan Seo
Keyword(s):  
Path Loss ◽  
Loss Model ◽  
Path Loss Model ◽  
Fingerprint Algorithm ◽  
Radio Map

Path Loss Model in Crowded Outdoor Environments Considering Multiple Human Body Shadowing of Multipath at 4.7GHz and 26.4GHz

2019 ◽  
Vol E102.B (8) ◽  
pp. 1676-1688 ◽  
Author(s):  
Mitsuki NAKAMURA ◽  
Motoharu SASAKI ◽  
Wataru YAMADA ◽  
Naoki KITA ◽  
Takeshi ONIZAWA ◽  
...  
Keyword(s):  
Human Body ◽  
Path Loss ◽  
Loss Model ◽  
Path Loss Model ◽  
Outdoor Environments

A new path loss model based on the volumetric occupancy rate for the pine forests at 5G frequency band

2020 ◽  
pp. 1-10
Author(s):  
Abdullah Genc
Keyword(s):  
Path Loss ◽  
Forest Area ◽  
Occupancy Rate ◽  
Loss Model ◽  
Path Loss Model ◽  
Model Based ◽  
Proposed Model ◽  
Pine Trees ◽  
Foliage Density ◽  
Reference Measurements

Abstract In this paper, a new empirical path loss model based on frequency, distance, and volumetric occupancy rate is generated at the 3.5 and 4.2 GHz in the scope of 5G frequency bands. This study aims to determine the effect of the volumetric occupancy rate on path loss depending on the foliage density of the trees in the pine forest area. Using 4.2 GHz and the effect of the volumetric occupancy rate contributes to the literature in terms of novelty. Both the reference measurements to generate a model and verification measurements to verify the proposed models are conducted in three different regions of the forest area with double ridged horn antennas. These regions of the artificial forest area consist of regularly sorted and identical pine trees. Root mean square error (RMSE) and R-squared values are calculated to evaluate the performance of the proposed model. For 3.5 and 4.2 GHz, while the RMSEs are 3.983 and 3.883, the values of R-squared are 0.967 and 0.963, respectively. Additionally, the results are compared with four path loss models which are commonly used in the forest area. The proposed one has the best performance among the other models with values 3.98 and 3.88 dB for 3.5 and 4.2 GHz.

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