Title :
Random weighting filtering algorithm and its application in SINS/SAR Integrated Navigation System
Author :
Yu, Gu ; Mi, Mei ; Jian-Hua, Gu
Author_Institution :
Sch. of Automatics, Northwestern Polytech. Univ., Xian, China
Abstract :
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.
Keywords :
airborne radar; filtering theory; inertial navigation; radar signal processing; synthetic aperture radar; SINS/SAR integrated navigation system; random weighting filtering algorithm; strap-down inertial navigation system; Accuracy; Equations; Filtering; Filtering algorithms; Mathematical model; Navigation; Silicon compounds; Kaiman Filter; SINS/SAR Integrated Navigation; random weighting method;
Conference_Titel :
Signal Processing (ICSP), 2010 IEEE 10th International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-5897-4
DOI :
10.1109/ICOSP.2010.5656934