Robust adaptive Kalman filter for strapdown inertial navigation system dynamic alignment

[1]  G. Chang Robust Kalman filtering based on Mahalanobis distance as outlier judging criterion , 2014, Journal of Geodesy.

[2]  Bing Zhu,et al.  Robust adaptive unscented Kalman filter and its application in initial alignment for body frame velocity aided strapdown inertial navigation system. , 2018, The Review of scientific instruments.

[3]  M. S. Grewal,et al.  Application of Kalman filtering to the calibration and alignment of inertial navigation systems , 1991 .

[4]  Fangjun Qin,et al.  A Novel Autonomous Initial Alignment Method for Strapdown Inertial Navigation System , 2017, IEEE Transactions on Instrumentation and Measurement.

[5]  Peter M. G. Silson,et al.  Coarse Alignment of a Ship's Strapdown Inertial Attitude Reference System Using Velocity Loci , 2011, IEEE Transactions on Instrumentation and Measurement.

[6]  Qi Chen,et al.  Robust adaptive UKF based on SVR for inertial based integrated navigation , 2020 .

[7]  Y. Bar-Shalom,et al.  The interacting multiple model algorithm for systems with Markovian switching coefficients , 1988 .

[8]  Yong Wang,et al.  Location Accuracy of INS/Gravity-Integrated Navigation System on the Basis of Ocean Experiment and Simulation , 2017, Sensors.

[9]  Andrew P. Sage,et al.  Adaptive filtering with unknown prior statistics , 1969 .

[10]  Lubin Chang,et al.  An Improved Optimal Method For Initial Alignment , 2014, Journal of Navigation.

[11]  Liu Jianye Adaptive Filtering Algorithm for SINS/GPS Integrated Navigation System , 2008 .

[12]  Jinling Wang,et al.  Adaptive estimation of multiple fading factors in Kalman filter for navigation applications , 2008 .

[13]  A. H. Mohamed,et al.  Adaptive Kalman Filtering for INS/GPS , 1999 .

[14]  Jacob Benesty,et al.  Study of the General Kalman Filter for Echo Cancellation , 2013, IEEE Transactions on Audio, Speech, and Language Processing.

[15]  Wei Wang Status and Development Trend of Inertial Technology: Status and Development Trend of Inertial Technology , 2014 .

[16]  Wei Gao,et al.  Adaptive Kalman Filtering with Recursive Noise Estimator for Integrated SINS/DVL Systems , 2014, Journal of Navigation.

[17]  Robert J. Elliott,et al.  Discrete-Time Nonlinear Filtering Algorithms Using Gauss–Hermite Quadrature , 2007, Proceedings of the IEEE.

[18]  Bing Zhu,et al.  Integrated navigation for doppler velocity log aided strapdown inertial navigation system based on robust IMM algorithm , 2020 .

[19]  Wanli Li,et al.  A Novel Scheme for DVL-Aided SINS In-Motion Alignment Using UKF Techniques , 2013, Sensors.

[20]  R. Mehra On the identification of variances and adaptive Kalman filtering , 1970 .

[21]  Bing Zhu,et al.  Huber-Based Adaptive Unscented Kalman Filter with Non-Gaussian Measurement Noise , 2018, Circuits Syst. Signal Process..

[22]  Xiaodong Wang,et al.  Kalman-Filtering-Based In-Motion Coarse Alignment for Odometer-Aided SINS , 2017, IEEE Transactions on Instrumentation and Measurement.

[23]  Baiqing Hu,et al.  Huber-based novel robust unscented Kalman filter , 2012 .

[24]  Lubin Chang,et al.  Initial Alignment for a Doppler Velocity Log-Aided Strapdown Inertial Navigation System With Limited Information , 2017, IEEE/ASME Transactions on Mechatronics.