Effect of ZigBee Positioning by Differents Algorithm

• Main Authors: Chien-Ming Huang, 黃健銘
• Other Authors: Huang-Chu Huang
• Format: Others
• Language: zh-TW
• Published: 2011
• Online Access: http://ndltd.ncl.edu.tw/handle/33461728408411573824

碩士 === 國立高雄海洋科技大學 === 海洋工程科技研究所 === 99 === In current techniques of positioning technology, there are various position metnod. For example, Global Position System (GPS) has been used for outdoor positioning. Handphone base station's triangulation (A-GPS) has also been used extensively. Both techniques have been applied to de-termine position in a large scale, such as GPS car navigation system, lo-cating stolen cars, and find the location when lost. The aim of the present study is to investigate how to apply fast and low-cost to method and the algorithm for positioning. Especially, the cur-rent study applied fuzzy theory and back-propagation neural network to e ZigBee short distanc positioning system. The main purpose of this study is to explore how to develop an effi-cient positioning system from various way and prospective. Based on the ZigBee system, signal intensity was actually measured and a database is established. Then, the fuzzy theory and back-propagation neural network were applied respectively to compare both positioning method. Finally, the influences of different algorithms on the results of positioning were also discussed.