Wireless positioning in indoor multipath environment

Indoor wireless positioning technique is very popular in recent years, and a rapid growth of wireless positioning system has been witnessed in recent years. In this dissertation, we introduce time of arrival (TOA) estimation in multipath environment. To verify the accuracy and applicability of our p...

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Bibliographic Details
Main Author: Cheng, Yanyu
Other Authors: School of Electrical and Electronic Engineering
Format: Thesis
Language:English
Published: 2016
Subjects:
Online Access:http://hdl.handle.net/10356/68975
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author Cheng, Yanyu
author2 School of Electrical and Electronic Engineering
author_facet School of Electrical and Electronic Engineering
Cheng, Yanyu
author_sort Cheng, Yanyu
collection NTU
description Indoor wireless positioning technique is very popular in recent years, and a rapid growth of wireless positioning system has been witnessed in recent years. In this dissertation, we introduce time of arrival (TOA) estimation in multipath environment. To verify the accuracy and applicability of our proposed method, we conduct channel experiment in an indoor environment, the meeting room, for TOA estimation. Space Alternating Generalized Expectation Maximization (SAGE) algorithm is used to estimate TOA based on the data of channel measurement. We also analyze the results of TOA estimation by calculating the estimation error and variance. Finally, TOA positioning algorithm is introduced including Weighted Least Square (WLS) algorithm and Full Search algorithm. For both algorithms, we do the simulation using four reference devices (RDs) and three RDs, and then analysis the results by calculating the mean error and variance for each algorithm using four RDs and three RDs, and drawing the cumulative distribution function (CDF) of error of each situation.
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spelling ntu-10356/689752023-07-04T15:05:04Z Wireless positioning in indoor multipath environment Cheng, Yanyu School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Signal processing Indoor wireless positioning technique is very popular in recent years, and a rapid growth of wireless positioning system has been witnessed in recent years. In this dissertation, we introduce time of arrival (TOA) estimation in multipath environment. To verify the accuracy and applicability of our proposed method, we conduct channel experiment in an indoor environment, the meeting room, for TOA estimation. Space Alternating Generalized Expectation Maximization (SAGE) algorithm is used to estimate TOA based on the data of channel measurement. We also analyze the results of TOA estimation by calculating the estimation error and variance. Finally, TOA positioning algorithm is introduced including Weighted Least Square (WLS) algorithm and Full Search algorithm. For both algorithms, we do the simulation using four reference devices (RDs) and three RDs, and then analysis the results by calculating the mean error and variance for each algorithm using four RDs and three RDs, and drawing the cumulative distribution function (CDF) of error of each situation. Master of Science (Signal Processing) 2016-08-22T02:01:02Z 2016-08-22T02:01:02Z 2016 Thesis http://hdl.handle.net/10356/68975 en 57 p. application/pdf
spellingShingle DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Signal processing
Cheng, Yanyu
Wireless positioning in indoor multipath environment
title Wireless positioning in indoor multipath environment
title_full Wireless positioning in indoor multipath environment
title_fullStr Wireless positioning in indoor multipath environment
title_full_unstemmed Wireless positioning in indoor multipath environment
title_short Wireless positioning in indoor multipath environment
title_sort wireless positioning in indoor multipath environment
topic DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Signal processing
url http://hdl.handle.net/10356/68975
work_keys_str_mv AT chengyanyu wirelesspositioninginindoormultipathenvironment