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
Link To Document :
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