Eigen-decomposition techniques for Loran-C skywave estimation

Author

Bian, Yi ; Last, David

Author_Institution

Univ. Coll. London, UK

Volume

33

Issue

1

fYear

1997

Firstpage

117

Lastpage

125

Abstract

Eigen-decomposition spectral analysis techniques are used to estimate the delays of Loran-C skywaves. Their performance is evaluated and compared with that of Fourier-based techniques. Results using off-air data are presented. This work establishes the basis on which to design a Loran-C receiver capable of adjusting its sampling point adaptively to the optimal value in a constantly changing skywave environment. Such receivers promise to improve significantly the accuracy and reliability of positioning under adverse operational conditions.

Keywords

eigenvalues and eigenfunctions; fast Fourier transforms; matrix decomposition; radiofrequency interference; radionavigation; Fourier-based techniques; Loran-C skywave estimation; adverse operational conditions; constantly changing skywave environment; eigen-decomposition techniques; off-air data; reliability; sampling point; Delay effects; Delay estimation; Frequency estimation; Interference; Multiple signal classification; Pulse measurements; Sampling methods; Satellite navigation systems; Satellites; Signal resolution; Spectral analysis; Systems engineering and theory;

fLanguage

English

Journal_Title

Aerospace and Electronic Systems, IEEE Transactions on

Publisher

ieee

ISSN

0018-9251

Type

jour

DOI

10.1109/7.570714

Filename

570714