TY - GEN
T1 - Research on multi-model adaptive hull deformation measurement algorithm
AU - Yanyan, Wang
AU - Ya, Zhang
AU - Kai, Wang
AU - Zhuo, Wang
AU - Jiachong, Chang
AU - DIngjie, Xu
N1 - Publisher Copyright:
© 2020 IEEE.
PY - 2020/4
Y1 - 2020/4
N2 - The multi-model adaptive hull deformation estimation algorithm is proposed for the uncertainty of system parameters and the statistical characteristics of measurement noise. Based on the multi-model idea, a variable parameter multi-model algorithm is designed. By pre-estimating the main frequency, the problem of the main frequency uncertainty in the actual measurement is solved. Based on the Sage-Husa adaptive filtering idea, the adaptive volume Kalman filter algorithm is designed to track and estimate the measurement noise covariance matrix in real time, which effectively solves the problem of statistical uncertainty of measurement noise. The effectiveness of the multi-model adaptive hull deformation estimation algorithm is verified by simulation. When the main frequency and the statistical characteristics of the measurement noise are unknown, the estimation accuracy of the hull deformation angle is better than 0.1 angular.
AB - The multi-model adaptive hull deformation estimation algorithm is proposed for the uncertainty of system parameters and the statistical characteristics of measurement noise. Based on the multi-model idea, a variable parameter multi-model algorithm is designed. By pre-estimating the main frequency, the problem of the main frequency uncertainty in the actual measurement is solved. Based on the Sage-Husa adaptive filtering idea, the adaptive volume Kalman filter algorithm is designed to track and estimate the measurement noise covariance matrix in real time, which effectively solves the problem of statistical uncertainty of measurement noise. The effectiveness of the multi-model adaptive hull deformation estimation algorithm is verified by simulation. When the main frequency and the statistical characteristics of the measurement noise are unknown, the estimation accuracy of the hull deformation angle is better than 0.1 angular.
KW - angular rate matching
KW - hull deformation
KW - multiple model adaptation
UR - https://www.scopus.com/pages/publications/85087087138
U2 - 10.1109/PLANS46316.2020.9109889
DO - 10.1109/PLANS46316.2020.9109889
M3 - 会议稿件
AN - SCOPUS:85087087138
T3 - 2020 IEEE/ION Position, Location and Navigation Symposium, PLANS 2020
SP - 718
EP - 722
BT - 2020 IEEE/ION Position, Location and Navigation Symposium, PLANS 2020
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2020 IEEE/ION Position, Location and Navigation Symposium, PLANS 2020
Y2 - 20 April 2020 through 23 April 2020
ER -