By Topic

Nonlinear filtering algorithm with its application in INS alignment

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Rui Zhao ; Dept. of Precision Instrum. & Mechanology, Tsinghua Univ., Beijing, China ; Qitai Gu

The application of optimal nonlinear/non-Gaussian filtering to the problem of inertial navigation system (INS) alignment is described. This approach is made possible by a new technique called particle filtering (PF). PF theory is introduced and nonlinear error equations of INS alignment on a stationary base in the case of large initial error angles are used. An algorithm for solving the problem of optimal estimation of the state vector described by nonlinear equations from linear measurements has been developed. Simulation results exhibit the superior performance of this approach when compared with classical suboptimal techniques such as extended Kalman filtering (EKF)

Published in:

Statistical Signal and Array Processing, 2000. Proceedings of the Tenth IEEE Workshop on

Date of Conference: