%0 Journal Article
%4 sid.inpe.br/mtc-m21c/2018/09.06.17.09
%2 sid.inpe.br/mtc-m21c/2018/09.06.17.09.53
%@doi 10.1016/j.measurement.2018.08.004
%@issn 0263-2241
%T On the measurement selection for stationary SINS alignment Kalman filters
%D 2018
%8 Dec.
%9 journal article
%A Silva, Felipe O.,
%A Hemerly, Elder M.,
%A Leite Filho, Waldemar de Castro,
%@affiliation Universidade Federal de Lavras (UFLA)
%@affiliation Instituto de Aeronáutica e Espaço (IAE)
%@affiliation Instituto Nacional de Pesquisas Espaciais (INPE)
%@electronicmailaddress felipe.oliveira@deg.ufla.br
%@electronicmailaddress hemerly@ita.br
%@electronicmailaddress waldclf@gmail.com
%B Measurement: Journal of the International Measurement Confederation
%V 130
%P 82-83
%K Stationary fine self-alignment, Inertial navigation, Measurement selection, Nonholonomic constraints, Convergence rate, Kalman filter.
%X This paper presents a comprehensive study aiming at the optimal measurement selection for Kalman filters applied to the stationary fine self-alignment of strapdown inertial navigation systems (SINS). On the basis of the definition of nonholonomic constraints, two very important measurement strategies for alignment purposes are investigated and mathematically derived: the standalone zero velocity update (ZVU) strategy, and an augmented measurement strategy, formed from the ZVU constraint in addition to the constant Earth rate and gravity update (CERGU) constraint. As main contribution of this paper, we analytically prove, trough the Cholesky factorization of the observability information matrix, that the augmented strategy is able to improve the convergence rate of the stationary fine self-alignment Kalman filter. For complying with the SINS rapidity requirement, the augmented measurement strategy is considered superior to the traditional standalone ZVU strategy. Simulated and experimental results confirm the adequacy of the outlined conclusions.
%@language en
%3 silva_on.pdf