Adaptively robust filtering for kinematic geodetic positioning
By Yuanxi Yang, Haibo He, Guochang Xu. 2001
391 citations recorded by the source corpus.
Subfields: Aerospace Engineering, Artificial Intelligence
View Paper: https://www.semanticscholar.org/paper/5eafb1d4d358f219db7db72cbc411199b95081c0
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In Aerospace Engineering
In Artificial Intelligence
- Zbigniew Wisniewski
- Guobin Chang
- Weiguang Gao
- X. Zhang
- Visa Koivunen
- Yacine Chakhchoukh
- Abdelhak M. Zoubir
- Michael Muma
Citations in the corpus
- An Optimal Adaptive Kalman Filter (2006, methodology): “P k denotes the equivalent weight matrix of l k ,w hich is determined by the robust estimation principle ( Yang et al. 2001a ).”
- Msplit(q) estimation: estimation of parameters in a multi split functional model of geodetic observations (2010, neutral): “The principles of M-estimation also provided a basis to develop a robust Kalman filter (Koch and Yang 1998; Schaffrin 1991; Yang et al. 2001 ), robust collocation”
- Robust Estimation in Signal Processing: A Tutorial-Style Treatment of Fundamental Concepts (2012, methodology): “Classical and frequently used robust filters are the robust Wiener and Kalman filters, see [13] for a survey up to 1985 and [70], [71] and references therein for some recent advances on robust Kalman filtering.”
- Robust Kalman filtering with constraints: a case study for integrated navigation (2010, methodology): “We start with the discrete linear system ( Yang et al. 2001 ),”
- Estimation of parameters in a split functional model of geodetic observations (Msplit estimation) (2008, methodology): “The principles of M-estimation were also applied to develop robust Kalman filters (e.g., Koch and Yang 1998; Yang et al. 2001 ), robust collocation (Yang 1992), robust estimation of variance–covariance matrices (Yang 1997), and to derive robust estimation of variance coefficients (Wi´ sniewski 1999”
- Robust Kalman filtering based on Mahalanobis distance as outlier judging criterion (2014, methodology): “The method proposed by Yang et al. (2001) is essentially a kind of filter with both adaptiveness and robustness, but under special conditions, and this adaptive and robust method is currently employed in Huang and Zhang (2012) to estimate the satellite clock offset in satellite positioning.”