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