COMPASS: Community Optimized Measuring of Positions Associated with Sensing Singnals

• Main Authors: Chu-Seng, Cheng, 鄭竹昇
• Other Authors: Wei-Chyn Chu
• Format: Others
• Language: en_US
• Published: 2009
• Online Access: http://ndltd.ncl.edu.tw/handle/43106135019665257218

碩士 === 國立陽明大學 === 醫學工程研究所 === 97 === In this paper we present COMPASS (Community-Optimized Measuring of Positions Associated with Sensing Signals), a method to improve indoor location sensing accuracy using Radio Frequency Identification (RFID), based on the design using reference tags. The major advantage of COMPASS is that it provides more accuracy location, compared with LANDMARC, and keeps the beauty of true simplicity, giving it the ability to track down moving object in real-time environment. Yet, based on our result, we do see that while improving the average accuracy, some measurements turn out having a larger error, making a bigger maximum error of the algorithm. We find out ways to improve and predict large error observations, forming two types of hybrid systems, one with a dynamic community size and the other with LANDMARC. Both systems succeed a better average positioning accuracy and less maximum error compared with the original COMPASS system. Finally, we point out suggestions for further research and future work.