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篇目详细内容

【篇名】 Multi-scale Kalman filters algorithm for GPS common-view observation data based on correlation structure of discrete wavelet coefficients
【刊名】 Frontiers of Electrical and Electronic Engineering in China
【刊名缩写】 Front. Electr. Electron. Eng. China
【ISSN】 1673-3460
【EISSN】 1673-3584
【DOI】 10.1007/s11460-007-0059-y
【出版社】 Higher Education Press and Springer-Verlag
【出版年】 2007
【卷期】 2 卷3期
【页码】 317-321 页,共 5 页
【作者】 OU Xiaojuan; ZHOU Wei;
【关键词】 communication; multi-scale Kalman filters; 1/? fractal characteristic; correlation structure; fractal increment

【摘要】
Global positioning system (GPS) common-view observation data were processed by using the multi-scale Kalman algorithm based on a correlative structure of the discrete wavelet coefficients. Suppose that the GPS common-view observation data has the 1/? fractal characteristic, the algorithm of wavelet transform was used to estimate the Hurst parameter H of GPS clock difference data. When 0
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