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The Improved Method of Sage Adaptive Filtering

XU Tian he,YANG Yuan xi(Institute of Surveying and Mapping of Information Engineering University,66 Longhai Road,Zhengzhou,China,450052)  
After a brief introduction of sage adaptive filtering, the shortcomings of covariance matrix adaptive estimation based on the residual vectors, innovation vectors and correction vectors of kinematic state are analyzed. Then, the improved method of sage adaptive filtering is proposed in this paper. The theoretical analysis and numerical results show that the method can efficiently control the kinematic state disturbing.
【Fund】: 国家杰出青年科学基金!编号 4982 5 10 7
【CateGory Index】: P228
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