Highlighting the F2 trace on an ionogram to improve Autoscala performance
This work describes a linear regression based method for highlighting the cuspidal trace on an ionogram. This method was initially thought to smooth out cases in which the autoscaling of the ionogram performed by Autoscala was erroneous because the F2 ordinary ray was identified as the extraordinary...
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Published in | Computers & geosciences Vol. 36; no. 9; pp. 1168 - 1177 |
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Main Authors | , |
Format | Journal Article |
Language | English |
Published |
Kidlington
Elsevier Ltd
01.09.2010
Elsevier |
Subjects | |
Online Access | Get full text |
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Summary: | This work describes a linear regression based method for highlighting the cuspidal trace on an ionogram. This method was initially thought to smooth out cases in which the autoscaling of the ionogram performed by Autoscala was erroneous because the F2 ordinary ray was identified as the extraordinary ray. The development of this method is very useful for filtering out noise and assisting the main algorithm of Autoscala to not be misled by multiple-hop sporadic E layer echoes. Applying the algorithm to different ionograms recorded by different ionosondes showed that the application of this method considerably improved the Autoscala performance. The role that this method plays in the light of existing algorithms is also discussed. |
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Bibliography: | ObjectType-Article-2 SourceType-Scholarly Journals-1 ObjectType-Feature-1 content type line 23 |
ISSN: | 0098-3004 1873-7803 |
DOI: | 10.1016/j.cageo.2010.01.010 |