A Fast Rotating Partition Satellite Selection Algorithm Based on Equal Distribution of Sky

• DOI: 10.1017/s0373463318001145
• Publication Date: 2019-02-21T02:47:59Z
• Authors: Fangchao Li; Zengke Li; Jingxiang Gao; Yifei Yao
• Keywords: Dilution of precision; Selection algorithm; GNSS augmentation; GLONASS; Precise Point Positioning; Real Time Kinematic

To achieve fast satellite selection for a multi-Global Navigation Satellite System (GNSS), thereby reducing the burden on receiver's processing element and cost of hardware, improving utilisation ratio receiver signal channels, relationship between number satellites Geometric Dilution Of Precision (GDOP), selected computation time is analysed. A rotating partition algorithm based equal distribution sky proposed. The divides process into two parts: rough detailed selection. Unhealthy satellites, according to health identifier, low elevation angle with large troposphere delay are eliminated during process. During process, divided rotated match average distance central line. Static data from International GNSS Service (IGS) station dynamic collected at China University Mining Technology were used verify algorithm, results demonstrated that an inverse matrix could be avoided reduce complexity. Additionally, new has merit there little effect when in field increased. single system Global Positioning (GPS) double GPS/Globalnaya Navigazionnaya Sputnikovaya Sistema (GLONASS) both passed hypothesis test each epoch. By including BeiDou (BDS) data, increased more than 95% using algorithm. Also, GDOP positioning performance optimal (DOP) compared this paper, analysis result shows algorithms have only small difference comparable performance.