DocumentCode
1132588
Title
Spectral Analysis and Subtraction of Noise in Radar Signals
Author
Ogura, H. ; Yoshida, Y.
Author_Institution
Kyoto Institute of Technology
Issue
1
fYear
1981
Firstpage
62
Lastpage
71
Abstract
A new method of maximum entropy spectral estimation called the revised maximum entropy method (MEM) is formulated and is applied to the spectral analysis of the echo signals from atmospheric turbulence observed by an incoherent scatter radar. The revised MEM is shown free from many demerits of the other methods for spectral analysis. Further it makes it possible to subtract the white noise usually contained in the data during the processing. Some examples of spectral estimation are shown for the actual radar signals and the simulated data. Another application of the revised MEM is the subtraction of the clutter component which is difficult to do by linear filtering. The method is successfully applied to several data abounding with the clutter to obtain the spectra of the echo signals with less clutter distortion.
Keywords
Atmosphere; Atmospheric waves; Clutter; Entropy; Fluctuations; Radar scattering; Radar signal processing; Radio frequency; Signal processing; Spectral analysis;
fLanguage
English
Journal_Title
Aerospace and Electronic Systems, IEEE Transactions on
Publisher
ieee
ISSN
0018-9251
Type
jour
DOI
10.1109/TAES.1981.309037
Filename
4102443
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