DocumentCode :
476538
Title :
Point scatterers target identification using frequency domain signal processing
Author :
Konovaluk, Maxim ; Kuznetsov, Yury ; Baev, Andrey
Author_Institution :
Moscow Aviation Inst., State Tech. Univ., Moscow
fYear :
2008
fDate :
19-21 May 2008
Firstpage :
1
Lastpage :
4
Abstract :
The coherent ultra short pulse radar provides high resolution image of the target. A model of this image is composed in the superposition form by complex envelope of signals returned from point scatterers. In accordance with their positions and reflection coefficients the values of complex envelope are distributed over radar image coordinate plane. Radar image model is based on the known radar pulse envelope and a pattern of the antenna. The parameters of the target point scatterers are processed in the frequency domain using one dimensional data extracted from the complex discrete Fourier transform of the radar image. The Matrix pencil algorithm is used for the parametrical target identification. This approach is characterized by the ambiguity of the point scatterers positioning in the coordinate plane. Rotation of the image axes is used to provide a disambiguation.
Keywords :
Fourier transforms; feature extraction; image resolution; matrix algebra; radar imaging; Matrix pencil algorithm; antenna pattern; coherent ultra short pulse radar; complex discrete Fourier transform; frequency domain signal processing; high resolution image; parametrical target identification; point scatterers target identification; radar image coordinate plane; radar image model; reflection coefficients; Frequency domain analysis; Image resolution; Radar antennas; Radar imaging; Radar scattering; Radar signal processing; Reflection; Scattering parameters; Signal processing; Signal resolution;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Microwaves, Radar and Wireless Communications, 2008. MIKON 2008. 17th International Conference on
Conference_Location :
Wroclaw
Print_ISBN :
978-83-906662-8-0
Type :
conf
Filename :
4630189
Link To Document :
بازگشت