A method of GPS static single point positioning based on clustering algorithm

作者：Liu, Sheng; Zhang, Qing Chun^*; Zhang, Lan Yong

来源：Journal of Harbin Institute of Technology, 2012, 44(11): 71-74.

• Clustering centers
• Combination method
• Degree of accuracy
• Fuzzy c-means clustering algorithms
• Geographical coordinates
• Kalman-filtering
• Low costs
• Single-point positioning
• Static point

This paper presents a combination method based on fuzzy C-means clustering algorithm and Kalman filter, which effectively improves the GPS static point positioning accuracy. Firstly, the latitude and longitude data collected by GPS was filtered by Kalman filtering, which could eliminate large fluctuations in the data. Secondly, the fuzzy C-means clustering algorithm was used to find the clustering center as the final positioning coordinate. The experimental result shows that, this method can effectively promote the degree of accuracy of GPS static single point positioning with low cost, and the coordinates of the positioning is more close to the true geographical coordinates.

• 出版日期2012
• 单位哈尔滨工程大学