DocumentCode
1487045
Title
Signal Identification and Trace Extraction for the Vertical Ionogram
Author
Fanfan Su ; Zhengyu Zhao ; Shipeng Li ; Ming Yao ; Gang Chen ; Yiyan Zhou
Author_Institution
Key Lab. of Earthquake Geodesy, China Earthquake Adm., Wuhan, China
Volume
9
Issue
6
fYear
2012
Firstpage
1031
Lastpage
1035
Abstract
Vertical ionograms suffer from artifacts and distortion due to other users of the high-frequency channel and the ionosphere. The traces of each layer have variable shapes, so the automatic scaling of the vertical ionograms is rather complicated. New algorithms for signal identification and trace extraction are developed to support automatic scaling. Different features of the signals, such as signal-to-noise ratio, Doppler shift, and virtual height, are converted to certainty factors and combined to identify signals. Kalman filtering, which is widely used in trace extracting, is introduced to form traces and separate the ordinary trace and the extraordinary trace. These algorithms are effective without using information on the wave polarization and can be applied to the ionograms recorded by single-antenna systems.
Keywords
Kalman filters; geophysical signal processing; ionospheric techniques; Doppler shift; Kalman filtering; automatic scaling; high-frequency channel; ionosphere; signal identification; signal-to-noise ratio; single-antenna systems; trace extraction; vertical ionogram; virtual height; wave polarization; Doppler shift; Feature extraction; Ionosphere; Kalman filters; Real time systems; Signal to noise ratio; Automatic scaling; Kalman filtering; ionogram scaling; ionosphere;
fLanguage
English
Journal_Title
Geoscience and Remote Sensing Letters, IEEE
Publisher
ieee
ISSN
1545-598X
Type
jour
DOI
10.1109/LGRS.2012.2189350
Filename
6179304
Link To Document