An Initial Study of Device-Free Indoor Localization
碩士 === 元智大學 === 電機工程學系 === 104 === We proposed a device-free indoor localization system. People do not have to wear or use any device in this system. People used to execute indoor localization through "Received Signal Strength Indicator(RSSI)". However, there are some shortcomings when we...
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ndltd-TW-104YZU054420022019-05-15T22:34:20Z http://ndltd.ncl.edu.tw/handle/a93yg2 An Initial Study of Device-Free Indoor Localization 無裝置室內定位的初步研究 Hau-Chiang Hu 胡皓強 碩士 元智大學 電機工程學系 104 We proposed a device-free indoor localization system. People do not have to wear or use any device in this system. People used to execute indoor localization through "Received Signal Strength Indicator(RSSI)". However, there are some shortcomings when we execute indoor localization through RSSI. for example, we have to receive multiple access points signal to ensure localization accuracy and there is a multipath effect when we execute it. So, We choose a Multi-input Multi-output(MIMO) system which named Channel State Information(CSI)to overcome this shortcmoings. In the procedure of signal processing, we process signals with "Empirical Mode Decomposition(EMD)". After that, we make the energy return normalization method to fix a specific way to select the Intrinsic Mode Function(IMF). We propose device-free indoor localization system which combines a simple system set up, convenience and a wide range of application level of use, and the localization accuracy error can be within 1.4 meters. Shih-Hau Fang 方士豪 2015 學位論文 ; thesis 60 zh-TW |
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碩士 === 元智大學 === 電機工程學系 === 104 === We proposed a device-free indoor localization system. People do not have to wear or use any device in this system. People used to execute indoor localization through "Received Signal Strength Indicator(RSSI)". However, there are some shortcomings when we execute indoor localization through RSSI. for example, we have to receive multiple access points signal to ensure localization accuracy and there is a multipath effect when we execute it. So, We choose a Multi-input Multi-output(MIMO) system which named Channel State Information(CSI)to overcome this shortcmoings. In the procedure of signal processing, we process signals with "Empirical Mode Decomposition(EMD)". After that, we make the energy return
normalization method to fix a specific way to select the Intrinsic Mode Function(IMF). We propose device-free indoor localization system which combines a simple system set up, convenience and a wide range of application level of use, and the localization accuracy error can be within 1.4 meters.
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author2 |
Shih-Hau Fang |
author_facet |
Shih-Hau Fang Hau-Chiang Hu 胡皓強 |
author |
Hau-Chiang Hu 胡皓強 |
spellingShingle |
Hau-Chiang Hu 胡皓強 An Initial Study of Device-Free Indoor Localization |
author_sort |
Hau-Chiang Hu |
title |
An Initial Study of Device-Free Indoor Localization |
title_short |
An Initial Study of Device-Free Indoor Localization |
title_full |
An Initial Study of Device-Free Indoor Localization |
title_fullStr |
An Initial Study of Device-Free Indoor Localization |
title_full_unstemmed |
An Initial Study of Device-Free Indoor Localization |
title_sort |
initial study of device-free indoor localization |
publishDate |
2015 |
url |
http://ndltd.ncl.edu.tw/handle/a93yg2 |
work_keys_str_mv |
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