Performance Analysis of Compact Position Report for Geodata Storing and Transfering

Nowadays geographic data (geodata) are used in a variety of applications. A compact position report (CPR) is one of the commonly used algorithms for reducing the size of geographic coordinates, which are represented in form of latitude and longitude. CPR grounds on automatic scaling technology which adobes the size of input data to the number of available bits for data storage. In the paper, we study adaptive bit selection in CPR based on precision of input data. The area of uncertainty rectangle and standard deviation error of positioning in horizontal plane are used to analyze the optimal number of bits. A confidence band of 99.7% is used to estimate error ellipsoid for geographic position holding. Also, performance of CPR algorithm is studied for different levels of input data precision.