DocumentCode :
2701279
Title :
Comparison study on high resolution radar target recognition
Author :
Tang, Jinsong ; Zhu, Zhaoda
Author_Institution :
Dept. of Electron. Eng., Nanjing Univ. of Aeronaut. & Astron., China
Volume :
1
fYear :
1996
fDate :
20-23 May 1996
Firstpage :
250
Abstract :
This paper studies high resolution radar target by range profile. Three methods of recognition are tested using the data of an off-line ISAR experiment. They are two correlation filters (one in space domain (range) and another in frequency domain) and radial basis function (RBF) network in frequency domain. The ratios of recognition for three methods are given for different SNR
Keywords :
correlation methods; feedforward neural nets; frequency-domain analysis; motion compensation; radar computing; radar imaging; radar signal processing; radar target recognition; synthetic aperture radar; Gaussian kernel function; ISAR; aircraft detection; clustering algorithm; correlation filters; frequency domain; high resolution radar target recognition; learning; least mean squares method; motion compensation; radar imaging; radial basis function network; recognition ratios; space domain; target by range profile; Filters; Frequency domain analysis; Image recognition; Neural networks; Prototypes; Radar imaging; Radial basis function networks; Synthetic aperture radar; Target recognition; Testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Aerospace and Electronics Conference, 1996. NAECON 1996., Proceedings of the IEEE 1996 National
Conference_Location :
Dayton, OH
ISSN :
0547-3578
Print_ISBN :
0-7803-3306-3
Type :
conf
DOI :
10.1109/NAECON.1996.517652
Filename :
517652
Link To Document :
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