A Fast and High-precision Orientation Algorithm for BeiDou Based on Dimensionality Reduction

• Main Authors: ZHAO Jiaojiao, QU Jianghua, YUAN Hong
• Format: Article
• Language: zho
• Published: Surveying and Mapping Press 2015-05-01
• Series: Acta Geodaetica et Cartographica Sinica
• Subjects: BeiDou; orientation; dimensionality reduction; ambiguity function
• Online Access: http://html.rhhz.net/CHXB/html/2015-5-488.htm
• ISSN: 1001-1595; 1001-1595

A fast and high-precision orientation algorithm for BeiDou is proposed by deeply analyzing the constellation characteristics of BeiDou and GEO satellites features.With the advantage of good east-west geometry, the baseline vector candidate values were solved by the GEO satellites observations combined with the dimensionality reduction theory at first.Then, we use the ambiguity function to judge the values in order to obtain the optical baseline vector and get the wide lane integer ambiguities. On this basis, the B1 ambiguities were solved. Finally, the high-precision orientation was estimated by the determinating B1 ambiguities. This new algorithm not only can improve the ill-condition of traditional algorithm, but also can reduce the ambiguity search region to a great extent, thus calculating the integer ambiguities in a single-epoch.The algorithm is simulated by the actual BeiDou ephemeris and the result shows that the method is efficient and fast for orientation. It is capable of very high single-epoch success rate(99.31%) and accurate attitude angle (the standard deviation of pitch and heading is respectively 0.07°and 0.13°)in a real time and dynamic environment.