Research Repository

Initial State Estimation for Boost Phase Object Based on 8-State Gravity Turn Model using Pseudo-linear Estimator

Zhao, Yan, Yi, Dongyun, Li, Yongqiang and Zhang, Qian (2010) Initial State Estimation for Boost Phase Object Based on 8-State Gravity Turn Model using Pseudo-linear Estimator. In: 2010 International Conference on Intelligent Control and Information Processing (ICICIP) 2010 : 13 - 15 Aug. 2010, Dalian, China : proceedings. IEEE, Piscataway, N.J., pp. 112-116.

Full text for this resource is not available from the Research Repository.

Abstract

For space-based bearing-only observations, the initial state estimation of the boost phase object is the solution to the nonlinear Least squared estimation (LSE) problem. This paper transformed the nonlinear problem into a linear LSE problem using the linearization of the bearing-only measurement and the target trajectory, which facilitated the direct estimation of initial state whilst avoiding to use the Gauss-Newton iteration. In particular, the explicit derivation of the pseudo-linear measurement and its statistical moments are deduced, which helped to determine the applying conditions of the proposed method. The numerical simulations illustrated the advantage of the proposed method with respect to precision and efficiency.

Item Type: Book Section
ISBN: 9781424470471 (print)
Uncontrolled Keywords: ResPubID20787, ballistics, least squares approximations, missiles, nonlinear estimation, target tracking, boost phase object, pseudo-linear estimator, state gravity turn model, acceleration, postal services, robustness, variable speed drives
Subjects: FOR Classification > 0102 Applied Mathematics
Faculty/School/Research Centre/Department > School of Law
SEO Classification > 970101 Expanding Knowledge in the Mathematical Sciences
Depositing User: VUIR
Date Deposited: 20 Jun 2013 07:17
Last Modified: 20 Jun 2013 07:17
URI: http://vuir.vu.edu.au/id/eprint/9847
DOI: https://doi.org/10.1109/ICICIP.2010.5565275
ePrint Statistics: View download statistics for this item
Citations in Scopus: 1 - View on Scopus

Repository staff only

View Item View Item

Search Google Scholar