Performance evaluation of six terrain stochastic linearization techniques for TAN

Author

Yu, Fki-jun ; Chen, Zhe ; Hung, James C.

Author_Institution

Automatic Control Dept., Beijing Univ. of Aeronaut. & Astronaut., China

fYear

1991

fDate

20-24 May 1991

Firstpage

382

Abstract

Six terrain stochastic linearization techniques are discussed. Among them are three new ones which were developed for TAN (terrain-aided navigation). These three are the improved full-plane fit (IFPF), the mean tangent-line (MTL), and the two-subgroup fit (TSF) techniques. Performance evaluations for each technique are made and compared. The evaluation for each technique makes use of six measures. Each technique has its merits and demerits. On the whole, the TSF technique appears to be the best

Keywords

Kalman filters; filtering and prediction theory; inertial navigation; linearisation techniques; performance evaluation; stochastic processes; Kalman filtering; TAN; first order Taylor series; full-plane fit; inertial navigation; mean tangent line; mean tangent-line; nine point fit; terrain stochastic linearization; terrain-aided navigation; two-subgroup fit; Analytical models; Equations; Extraterrestrial measurements; Filtering; Kalman filters; Linearization techniques; Navigation; Noise measurement; Stochastic processes; Vehicles;

fLanguage

English

Publisher

ieee

Conference_Titel

Aerospace and Electronics Conference, 1991. NAECON 1991., Proceedings of the IEEE 1991 National

Conference_Location

Dayton, OH

Print_ISBN

0-7803-0085-8

Type

conf

DOI

10.1109/NAECON.1991.165777

Filename

165777