碩士 / 國立虎尾科技大學 / 電機工程研究所 / 103 / With the popularity of progress and development of mobile phones communication network technology progress and development, intelligent mobile devices in the function have been given a lot of features. Many positioning applications and mobile applications are constantly being raised, such as applications, multimedia, entertainment, etc. Applications in terms of positioning are rapidly popularization, forming the modern essential function, but the current position generally still use GPS (Global Positioning System) to locate, in the indoor positioning of environmental influences factors often cause ineffective or mistake, now there are many solutions to improve this factor, there are also many improvements this factor solutions such as: Wi-Fi positioning or the use of mobile phones G-Sensor and gyro positioning. The part of WiFi positioning signal strength caused adrift and error, and G-Sensor and Gyro positioning often due to cumulative error problem and for a static environment, must be regularly positioning correction to improve the positioning accuracy. In this master thesis design a based on Wi-Fi and Bluetooth signal area the infrared strengthen auxiliary indoor positioning system. With Wi-Fi RSSI (Received Signal Strength Indicator) as the primary regional location basis, Bluetooth auxiliary positioning signals, IR signals to strengthen the positioning accuracy value, integrating three wireless signal strength values use the Neighboring Weighted Positioning method implement increased position accuracy and wide-area positioning and use IR angle smaller, more accurate principle to strengthen auxiliary positioning. In order to reduce the burden on the space occupied by intelligent devices and operations, build positioning calculation server, the information centralized to make the positioning process, this paper will be sent to the field to collect RSSI signal strength on the server to complete the RSSI training Learning Network Road services (Web Service) processing, and then use the IR signal detection intensity point positioning ,positioning calculation result back to the smart mobile device, navigation and design a user to interact with APP. The system architecture and positioning technology, the future can offer indoor and outdoor tours, such as the tourism industry, amusement parks and so provide the location and product introduction.
| Identifer | oai:union.ndltd.org:TW/103NYPI5441016 |
| Date | January 2015 |
| Creators | Yi-Feng Chen, 陳宜峰 |
| Contributors | 蘇暉凱 |
| Source Sets | National Digital Library of Theses and Dissertations in Taiwan |
| Language | zh-TW |
| Detected Language | English |
| Type | 學位論文 ; thesis |
| Format | 75 |
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