DocumentCode :
3416328
Title :
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
Link To Document :
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