Integration of GPS and sensor-based step length detection for Personal Locating System

• Main Authors: Cing-kun Chen, 陳慶坤
• Other Authors: Wei-wen Kao
• Format: Others
• Language: zh-TW
• Published: 2011
• Online Access: http://ndltd.ncl.edu.tw/handle/grkt93

碩士 === 國立臺灣科技大學 === 機械工程系 === 99 === Recently, the pedestrian navigation system(PNS) was developed gradually and most sensors of PNS were put around the waist or foot to establish a model to figure out the path and distance. In this study, the researcher put the sensor around the wrist to do the analysis. Many companies developed sport watches with global positioning system(GPS) to provide consumers with their running information. However, the GPS signals in urban or tunnel are often influenced by the environments. To overcome this limitation, this study installed the sensor in wrist watches and combined accelerator measurements with GPS in position calculations. The process includes position locking, extended Kalman Filter and adaptive parameter adjustment. The researcher found that the appropriate parameter adjustment and signal processing algorithms can effectively reduce the positioning, allowed the method to do the estimation without GPS signal, and prove the validity and reliability of data.