Random weighting filtering algorithm and its application in SINS/SAR Integrated Navigation System
Strap-down Inertial Navigation System (SINS) is a typical navigation system with strong independence. To improve its performance in space, time and precision, a new Random Weighting Filtering algorithm (RWF) is proposed in this paper which adopts random weighting method. By studying its application in SINS/SAR Integrated Navigation System and comparing with other algorithms, it can be seen from the experiments that the proposed Random Weighting Filtering algorithm could significantly improve the performance of SINS/SAR Integrated Navigation System.
SINS/SAR Integrated Navigation random weighting method Kalman Filter
Gu Yu Mei Mi Gu Jian-hua
School of Automatics, Northwestern Polytechnical University, Xian, China School of Computer, Northwestern Polytechnical University, Xian, China
国际会议
2010 IEEE 10th International Conference on Signal Processing(第十届信号处理国际会议 ICSP 2010)
北京
英文
2531-2534
2010-08-24(万方平台首次上网日期,不代表论文的发表时间)