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作 者:LU ChenXi TAN YunHua ZHU BoCheng ZHOU LeZhu
机构地区:[1]School of Electronics Engineering and Computer Science,Peking University
出 处:《Science China(Information Sciences)》2014年第2期23-32,共10页中国科学(信息科学)(英文版)
基 金:supported by National Natural Science Foundation of China(Grant No.11076001)
摘 要:A reduced-order H∞ filtering algorithm for navigation with carrier phase is presented. By taking advantage of decoupling between filtering states in a navigation solution, this algorithm reduces computational cost and is robust in colored noise. Furthermore, the estimation precision is also improved by taking ambiguities as nuisance states when the filtering process converges. Applications to kinetic simulations under different noise are presented to demonstrate robustness and efficiency of the algorithm.A reduced-order H∞ filtering algorithm for navigation with carrier phase is presented. By taking advantage of decoupling between filtering states in a navigation solution, this algorithm reduces computational cost and is robust in colored noise. Furthermore, the estimation precision is also improved by taking ambiguities as nuisance states when the filtering process converges. Applications to kinetic simulations under different noise are presented to demonstrate robustness and efficiency of the algorithm.
关 键 词:NAVIGATION reduced-order H∞ filtering carrier phase
分 类 号:TN966[电子电信—信号与信息处理]
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