caa a22 4500 606162216 CHVBK 20210128100638.0 cr unu---uuuuu 210128e20150101xx s 000 0 eng 10.1007/s10291-014-0363-y doi (NATIONALLICENCE)springer-10.1007/s10291-014-0363-y GNSS windowing navigation with adaptively constructed dynamic model [Elektronische Daten] [Zebo Zhou, Bofeng Li] The conventional dynamic model in the Kalman filtering-based GNSS navigation usually contains the state information of only one previous epoch, which can hardly reflect the real complex dynamic characteristics of motion behaviors. To improve the adaptability and accuracy of GNSS applications, a window-based polynomial fitting method is used to construct the dynamic model. In the given window with multiple state epochs, all candidate dynamic models with different model orders are self-constructed by using these multiple state epochs in real time. Then, based on the model selection theory, a model evaluation criterion is derived in the Bayesian framework to choose the optimal dynamic model. With this optimal constructed dynamic model, the improved navigation solution then can be obtained by a window-recursive approach. We test the proposed strategies by using the simulation and real GNSS vehicular experiments. All results demonstrate the validity and efficiency of the presented method. Springer-Verlag Berlin Heidelberg, 2014 GNSS navigation nationallicence Moving window nationallicence Dynamic model nationallicence Model selection nationallicence Kalman filtering nationallicence Zhou Zebo School of Aeronautics and Astronautics, University of Electronic Science and Technology of China, 611731, Chengdu, China aut Li Bofeng College of Surveying and Geo-Informatics, Tongji University, 200092, Shanghai, China aut GPS Solutions Springer Berlin Heidelberg 19/1(2015-01-01), 37-48 1080-5370 19:1<37 2015 19 10291 https://doi.org/10.1007/s10291-014-0363-y text/html Onlinezugriff via DOI BK010053 XK010053 XK010000 Metadata rights reserved Springer special CC-BY-NC licence nationallicence 1 research-article jats NATIONALLICENCE NATIONALLICENCE NL-springer NATIONALLICENCE 856 40 https://doi.org/10.1007/s10291-014-0363-y text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Zhou Zebo School of Aeronautics and Astronautics, University of Electronic Science and Technology of China, 611731, Chengdu, China aut NATIONALLICENCE 700 1- Li Bofeng College of Surveying and Geo-Informatics, Tongji University, 200092, Shanghai, China aut NATIONALLICENCE 773 0- GPS Solutions Springer Berlin Heidelberg 19/1(2015-01-01), 37-48 1080-5370 19:1<37 2015 19 10291