DocumentCode
2750283
Title
Local bispectra based high-resolution radar target classification
Author
Shi, Yu ; Zhang, Xian-Da
Author_Institution
Dept. of Autom., Tsinghua Univ., Beijing, China
Volume
3
fYear
2000
fDate
2000
Firstpage
1968
Abstract
Shift invariant features-local bispectra of range profiles-are proposed for application to high-resolution radar target recognition. The local bispectra are selected through the Fisher´s class separability discriminant measure on the bi-frequency plane. The selected features are evaluated using range profiles of three scaled aircraft models. It is shown that they are highly discriminative
Keywords
radar resolution; radar target recognition; radar theory; spectral analysis; Fisher´s class separability discriminant measure; bi-frequency plane; high-resolution radar target recognition; local bispectra; radar target classification; range profiles; scaled aircraft models; shift invariant features; Atomic measurements; Automation; Fourier transforms; Gaussian noise; Intelligent systems; Laboratories; Radar applications; Radar imaging; Radar scattering; Target recognition;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing Proceedings, 2000. WCCC-ICSP 2000. 5th International Conference on
Conference_Location
Beijing
Print_ISBN
0-7803-5747-7
Type
conf
DOI
10.1109/ICOSP.2000.893491
Filename
893491
Link To Document