以類神經網路實作無線定位系統

Neural-Network Approach for Wireless Positioning System

梁偉誠(Wei-Cheng Liang)

指導教授 ： 虞台文

大同大學/電機資訊學院/資訊工程學系所/碩士(2007年)

摘要

近年來手持式行動裝置以及無線網路發展迅速，這使得兩者間的應用得到很
大的關注，而行動定位服務，就是其中一個議題。手持式行動裝置有重量輕、體
積小以及富運算能力等優點，但往往都只被使用於數位記事本和衛星導航用途
上，這使得裝置上原有的無線網路功能亦被限制了其應用與發展。無線網路設備
便宜且容易取得，已廣泛被使用於各種場合，並且由於其訊號強弱的衰減特性，
已有許多研究將之用於室內區域定位。
本篇論文將直接使用筆記型電腦和市售無線基地台作為開發工具，由生活上的
實用面切入，在經驗法則的定位架構下，整合自組織類神經網路與半徑式函數網路
作為定位決策核心，並實際驗證其定位成效。

關鍵字

無線定位系統 ； 類神經網路

並列摘要

Handheld mobile devices and wireless network are developed rapidly in recent
years. It makes both of the applications are getting very great concern. The location
based service is a subject in the local area wireless network. The handheld mobile
devices have the advantages of light weight, small size and rich operational capability.
But it usually just be used for the digital date book or the satellite navigate. This
situation limits the appliance and development of the wireless network. The wireless
products are cheap and obtain easily, so it has already been used in various situations.
And because of the attenuation characteristic of signal strength, there has existed
many researches is used for its indoor location problem.
This thesis will use the laptop and 802.11b/g wireless access points which are
retail product in the market as the develop tool. Based on the architecture of empirical
model, my research takes the integrated solution of Self-Organizing Map (SOM) and
Radial Basis Function Neural Network (RBFN) as the scheme of positioning problem.
Finally, the positioning effect will be verified.

並列關鍵字

wireless positioning system ； neural network

參考文獻

[1] Introduction to IEEE 802.11,

[2] Wang Y. et al., “An indoors wireless positioning system based on wireless local area network infrastructure”, The University of New South Wales, July 2003.

[5] SOM tutorial part1, http://www.ai-junkie.com/ann/som/som1.html

[6] Microsoft MSDN RSSI Indications,

[7] Radial Basis Function Network,