Implementation of Indoor Positioning Using Measured Signal from Infrastructures

碩士 === 國立高雄應用科技大學 === 電子工程系 === 99 === Real time location system technology is not brand new. The Global Positioning System (GPS) is mature and wildly applied. However, GPS can only be used outdoors. Therefore, the development of indoor positioning technology is required and is of significance. An i...

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Main Authors: Kun-Mu Tu, 杜昆穆
Other Authors: Jeng-Shyang Pan
Format: Others
Language:zh-TW
Published: 2011
Online Access:http://ndltd.ncl.edu.tw/handle/28676250976301300619
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spelling ndltd-TW-099KUAS83930042015-10-16T04:02:40Z http://ndltd.ncl.edu.tw/handle/28676250976301300619 Implementation of Indoor Positioning Using Measured Signal from Infrastructures 基於無線訊號強度與信號平均值之區域定位系統 Kun-Mu Tu 杜昆穆 碩士 國立高雄應用科技大學 電子工程系 99 Real time location system technology is not brand new. The Global Positioning System (GPS) is mature and wildly applied. However, GPS can only be used outdoors. Therefore, the development of indoor positioning technology is required and is of significance. An indoor positioning system integrating RFID and ZigBee is designed and implemented in this study. The system uses hierarchical structure for data transmission. Each level adopts different transmission mode according to its transmission characteristic. The identification badge uses low-power active RFID (Radio Frequency Identification). It conveys data for mobile device identification code and transmission signal intensity. The positioning node uses ZigBee network to transmit the badge ID and signal intensity Strength (RSSI) value to the gateway. The gateway transmits the collected information to the location server via the Internet. All positioning information is computed by server, and then transmits the related positioning result to computers or mobile devices. Positioning algorithms makes use the average of data and compare them with the neighboring nodes in order to locate the mobile device. The proposed system is capable of reducing the multipath interference and other environmental factors. In our implementation, the system performance is assessed by positioning accuracy, scale, fault tolerance, self- adaption, and energy consumption. We had experimented different topology scales, including 10M, 5M and 2M with both static and dynamic modes. The experimental results reveal that the positioning result obtained from the proposed average signal positioning algorithm is stable. Using a hierarchical structure and integrate ZigBee network to build positioning system, the expansion of the system is more convenient, but it doesn’t apply to those requirements which need quick move and rapid response. Jeng-Shyang Pan Chin-Shiuh Shieh 潘正祥 謝欽旭 2011 學位論文 ; thesis 69 zh-TW
collection NDLTD
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description 碩士 === 國立高雄應用科技大學 === 電子工程系 === 99 === Real time location system technology is not brand new. The Global Positioning System (GPS) is mature and wildly applied. However, GPS can only be used outdoors. Therefore, the development of indoor positioning technology is required and is of significance. An indoor positioning system integrating RFID and ZigBee is designed and implemented in this study. The system uses hierarchical structure for data transmission. Each level adopts different transmission mode according to its transmission characteristic. The identification badge uses low-power active RFID (Radio Frequency Identification). It conveys data for mobile device identification code and transmission signal intensity. The positioning node uses ZigBee network to transmit the badge ID and signal intensity Strength (RSSI) value to the gateway. The gateway transmits the collected information to the location server via the Internet. All positioning information is computed by server, and then transmits the related positioning result to computers or mobile devices. Positioning algorithms makes use the average of data and compare them with the neighboring nodes in order to locate the mobile device. The proposed system is capable of reducing the multipath interference and other environmental factors. In our implementation, the system performance is assessed by positioning accuracy, scale, fault tolerance, self- adaption, and energy consumption. We had experimented different topology scales, including 10M, 5M and 2M with both static and dynamic modes. The experimental results reveal that the positioning result obtained from the proposed average signal positioning algorithm is stable. Using a hierarchical structure and integrate ZigBee network to build positioning system, the expansion of the system is more convenient, but it doesn’t apply to those requirements which need quick move and rapid response.
author2 Jeng-Shyang Pan
author_facet Jeng-Shyang Pan
Kun-Mu Tu
杜昆穆
author Kun-Mu Tu
杜昆穆
spellingShingle Kun-Mu Tu
杜昆穆
Implementation of Indoor Positioning Using Measured Signal from Infrastructures
author_sort Kun-Mu Tu
title Implementation of Indoor Positioning Using Measured Signal from Infrastructures
title_short Implementation of Indoor Positioning Using Measured Signal from Infrastructures
title_full Implementation of Indoor Positioning Using Measured Signal from Infrastructures
title_fullStr Implementation of Indoor Positioning Using Measured Signal from Infrastructures
title_full_unstemmed Implementation of Indoor Positioning Using Measured Signal from Infrastructures
title_sort implementation of indoor positioning using measured signal from infrastructures
publishDate 2011
url http://ndltd.ncl.edu.tw/handle/28676250976301300619
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