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The proposed method can not only minimize the variance of the importance density distribution to resist the disturbances of systematic noises, but it also fully takes advantage of present measurement information to avoid particle degeneration. Experiments and comparison analysis with the existing methods demonstrate the improved filtering accuracy of the proposed method.<\/p>","DOI":"10.4018\/ijrat.2014010102","type":"journal-article","created":{"date-parts":[[2015,1,20]],"date-time":"2015-01-20T20:27:40Z","timestamp":1421785660000},"page":"19-34","source":"Crossref","is-referenced-by-count":0,"title":["Robust Adaptive Central Difference Particle Filter"],"prefix":"10.4018","volume":"2","author":[{"given":"Li","family":"Xue","sequence":"first","affiliation":[{"name":"School of Physics and Electronics Information Engineering, Ningxia University, Yin Chuan, China"}]},{"given":"Shesheng","family":"Gao","sequence":"additional","affiliation":[{"name":"School of Automatics, Northwestern Polytechnical University, Xi'an, China"}]},{"given":"Yongmin","family":"Zhong","sequence":"additional","affiliation":[{"name":"School of Aerospace, Mechanical and Manufacturing Engineering, RMIT Univeristy, Bundoora, Australia"}]},{"given":"Reza","family":"Jazar","sequence":"additional","affiliation":[{"name":"School of Aerospace, Mechanical and Manufacturing Engineering, RMIT Univeristy, Bundoora, Australia"}]},{"given":"Aleksandar","family":"Subic","sequence":"additional","affiliation":[{"name":"School of Aerospace, Mechanical and Manufacturing Engineering, RMIT Univeristy, Bundoora, Australia"}]}],"member":"2432","reference":[{"key":"ijrat.2014010102-0","doi-asserted-by":"publisher","DOI":"10.1016\/j.jedc.2011.04.007"},{"key":"ijrat.2014010102-1","doi-asserted-by":"publisher","DOI":"10.1109\/78.978374"},{"key":"ijrat.2014010102-2","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2007.4286566"},{"key":"ijrat.2014010102-3","doi-asserted-by":"crossref","unstructured":"Cappe, O., Godsill, S. 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