Accurate wi-fi signal strength recovery method using chebyshev wavelet- based approximation for indoor positioning

In many scenarios of everyday life and especially in warehousing, manufacturing and logistics, it is highly desirable to locate objects or persons quickly and accurately. Nowadays, fingerprinting based Wi-Fi positioning system provides enterprises the ability to track their various resources more...

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Main Author:	Nemadaliev, Azamjon
Format:	Thesis
Language:	English
Published:	2016
Subjects:	Computer networks Signal processing Radio frequency allocation
Online Access:	http://psasir.upm.edu.my/id/eprint/69350/1/FSKTM%202016%2016%20IR.pdf
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id	my-upm-ir.69350
record_format	uketd_dc
spelling	my-upm-ir.693502019-07-10T03:50:46Z Accurate wi-fi signal strength recovery method using chebyshev wavelet- based approximation for indoor positioning 2016-04 Nemadaliev, Azamjon In many scenarios of everyday life and especially in warehousing, manufacturing and logistics, it is highly desirable to locate objects or persons quickly and accurately. Nowadays, fingerprinting based Wi-Fi positioning system provides enterprises the ability to track their various resources more efficiently and effectively. The main idea behind fingerprinting is to build signal strength database of target area prior to location estimation. This process is called calibration and the positioning accuracy highly depends on calibration intensity. Unfortunately, calibration procedure requires a huge amount of time and effort and makes large-scale deployments of Wi-Fi based indoor positioning systems non-trivial. In this research, we present a new method of recovering Wi-Fi Radio Map (WRM) database based on few sample received signal strength indicators –RSSI and this recovered data is used as radio map – constructed Wi-Fi RSS based fingerprint database for indoor positing. In contrary to conventional calibration method, our method requires only a few signal samples to be collected and rest of the data are approximated using Chebyshev wavelets. The main goal of our research is to minimize the calibration workload while maintaining recovered data accuracy and achieve acceptable results on positioning accuracy. Compared to the conventional way, proposed a new method to construct accurate Wi- Fi signal strength indicators using Chebyshev wavelet based approximation requires only a few reference RSSI samples, and this significantly will reduce the calibration effort. Also, field test results showed that proposed method achieves better approximation accuracy than existing interpolation methods, such as VORO and MOSM. Also recovered RSSI data - fingerprint database was used with positioning software to evaluate results of positioning accuracy. Results show that positioning accuracy is significantly improved compared with conventional, as well as, other two related methods. Computer networks Signal processing Radio frequency allocation 2016-04 Thesis http://psasir.upm.edu.my/id/eprint/69350/ http://psasir.upm.edu.my/id/eprint/69350/1/FSKTM%202016%2016%20IR.pdf text en public doctoral Universiti Putra Malaysia Computer networks Signal processing Radio frequency allocation
institution	Universiti Putra Malaysia
collection	PSAS Institutional Repository
language	English
topic	Computer networks Signal processing Radio frequency allocation
spellingShingle	Computer networks Signal processing Radio frequency allocation Nemadaliev, Azamjon Accurate wi-fi signal strength recovery method using chebyshev wavelet- based approximation for indoor positioning
description	In many scenarios of everyday life and especially in warehousing, manufacturing and logistics, it is highly desirable to locate objects or persons quickly and accurately. Nowadays, fingerprinting based Wi-Fi positioning system provides enterprises the ability to track their various resources more efficiently and effectively. The main idea behind fingerprinting is to build signal strength database of target area prior to location estimation. This process is called calibration and the positioning accuracy highly depends on calibration intensity. Unfortunately, calibration procedure requires a huge amount of time and effort and makes large-scale deployments of Wi-Fi based indoor positioning systems non-trivial. In this research, we present a new method of recovering Wi-Fi Radio Map (WRM) database based on few sample received signal strength indicators –RSSI and this recovered data is used as radio map – constructed Wi-Fi RSS based fingerprint database for indoor positing. In contrary to conventional calibration method, our method requires only a few signal samples to be collected and rest of the data are approximated using Chebyshev wavelets. The main goal of our research is to minimize the calibration workload while maintaining recovered data accuracy and achieve acceptable results on positioning accuracy. Compared to the conventional way, proposed a new method to construct accurate Wi- Fi signal strength indicators using Chebyshev wavelet based approximation requires only a few reference RSSI samples, and this significantly will reduce the calibration effort. Also, field test results showed that proposed method achieves better approximation accuracy than existing interpolation methods, such as VORO and MOSM. Also recovered RSSI data - fingerprint database was used with positioning software to evaluate results of positioning accuracy. Results show that positioning accuracy is significantly improved compared with conventional, as well as, other two related methods.
format	Thesis
qualification_level	Doctorate
author	Nemadaliev, Azamjon
author_facet	Nemadaliev, Azamjon
author_sort	Nemadaliev, Azamjon
title	Accurate wi-fi signal strength recovery method using chebyshev wavelet- based approximation for indoor positioning
title_short	Accurate wi-fi signal strength recovery method using chebyshev wavelet- based approximation for indoor positioning
title_full	Accurate wi-fi signal strength recovery method using chebyshev wavelet- based approximation for indoor positioning
title_fullStr	Accurate wi-fi signal strength recovery method using chebyshev wavelet- based approximation for indoor positioning
title_full_unstemmed	Accurate wi-fi signal strength recovery method using chebyshev wavelet- based approximation for indoor positioning
title_sort	accurate wi-fi signal strength recovery method using chebyshev wavelet- based approximation for indoor positioning
granting_institution	Universiti Putra Malaysia
publishDate	2016
url	http://psasir.upm.edu.my/id/eprint/69350/1/FSKTM%202016%2016%20IR.pdf
_version_	1747812686723284992

Accurate wi-fi signal strength recovery method using chebyshev wavelet- based approximation for indoor positioning

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