Recursive maximum likelihood estimation of aircraft position using multiple range and bearing measurements

Author

Clements, Joseph H., III

Author_Institution

Univ. of Central Oklahoma, Edmond, OK, USA

fYear

1996

fDate

22-26 Apr 1996

Firstpage

199

Lastpage

204

Abstract

In this paper an algorithm is presented that recursively computes the maximum likelihood (ML) estimates of an aircraft´s position in space. By combining an a priori ML estimate of the aircraft´s state vector and its error covariance matrix with multiple range measurements, updated estimates are obtained. This technique is particularly useful in situations where distance measuring equipment coverage or geometry is poor and VHF OMNI range (VOR) signals are available

Keywords

aircraft navigation; attitude control; covariance matrices; distance measurement; inertial navigation; maximum likelihood estimation; position control; recursive estimation; VHF OMNI range signals; aircraft position estimation; bearing measurements; distance measuring equipment; error covariance matrix; multiple range; range measurements; recursive maximum likelihood estimation; state vector; Aircraft navigation; FAA; Flexible manufacturing systems; Geometry; Mathematics; Maximum likelihood estimation; Position measurement; Recursive estimation; State estimation; Time measurement;

fLanguage

English

Publisher

ieee

Conference_Titel

Position Location and Navigation Symposium, 1996., IEEE 1996

Conference_Location

Atlanta, GA

Print_ISBN

0-7803-3085-4

Type

conf

DOI

10.1109/PLANS.1996.509078

Filename

509078