Robust estimation of ionospheric density using multisensor sounding data

Author

Skafidas, E. ; Percival, D.J. ; Evans, R.J.

Author_Institution

Centre for Sensor Signal & Inf. Process., The Levels, SA, Australia

fYear

1996

fDate

21-22 Nov 1996

Firstpage

100

Lastpage

105

Abstract

A robust algorithm for estimating the parameters in a simple model of ionospheric electron density in the presence of model uncertainties and malicious noise is presented. Noisy sounding data is asynchronously recorded by a geographically distributed array of identical ionospheric sounders. The ionospheric dynamics are modelled as a state space system, with a robust H∞ type filter developed to track the evolving ionospheric state as new measurements become available

Keywords

H^∞ optimisation; Kalman filters; array signal processing; atmospheric movements; electron density; geophysical signal processing; ionospheric techniques; noise; parameter estimation; remote sensing; sensor fusion; geographically distributed array; ionospheric density; ionospheric electron density; ionospheric sounders; malicious noise; measurements; model uncertainties; multisensor sounding data; noisy sounding data; parameter estimation; remote sensing; robust H infinity type filter; robust algorithm; robust estimation; state space system; Acoustic noise; Acoustic sensors; Hafnium; Ionosphere; Noise robustness; Power system modeling; Sensor arrays; Signal processing; State estimation; Uncertainty;

fLanguage

English

Publisher

ieee

Conference_Titel

Data Fusion Symposium, 1996. ADFS '96., First Australian

Conference_Location

Adelaide, SA

Print_ISBN

0-7803-3601-1

Type

conf

DOI

10.1109/ADFS.1996.581089

Filename

581089