AN IMPROVED SATELLITE SELECTION ALGORTHM BASED ON FUZZY COMPREHENSIVE EVALUATION METHOD AND THE ENTROPY METHOD FOR DETERMINING THE WEIGHT OF EVALUATION INDICATORS
In Global Navigation Satellite Systems (GNSS), the satellite selection algorithm is very important for increasing navigation location precision, in which visible satellite geometry is the most crucial factor. There are two algorithms for selecting stars: one is by calculating GDOP such as classical optimal algorithm, best GDOP algorithm and so on. However, it requires a long time for the computing procedure and must reselect stars to compute every 15 minutes. By comparison, the other is fuzzy selecting star algorithm, which has an advantage on a shorter computing time and almost the same performance as classical optimal algorithm. But it refers to the determination of weight of evaluating indicators which always takes the experience value but doesn’t have the religious mathematical model as a support. Based on fuzzy selecting star algorithm, this paper proposes an improved algorithm by using the Entropy method for determination of weight of evaluating indicators. Simulation results indicate that the algorithm in this paper has almost the same performance as the previous algorithm, but less time-consuming and better position accuracy.
GNSS Satellite Selection algorithm Entropy method Fuzzy Comprehensive Evaluation Method
Lu Zhang Zhongliang Deng Lei Yang
Beijing Key Laboratory of Information Photonics and Optical Communications,Beijing University of Posts and Telecommunications, Beijing 100876, China
国际会议
深圳
英文
652-655
2011-10-28（万方平台首次上网日期，不代表论文的发表时间）