Pulse doppler radar target recognition using a two-stage SVM procedure

Date
2010-07-07
Authors
Eryildirim, A.
Onaran, I.
Editor(s)
Advisor
Supervisor
Co-Advisor
Co-Supervisor
Instructor
Source Title
IEEE Transactions on Aerospace and Electronic Systems
Print ISSN
0018-9251
Electronic ISSN
Publisher
IEEE
Volume
47
Issue
2
Pages
1450 - 1457
Language
English
Journal Title
Journal ISSN
Volume Title
Series
Abstract

It is possible to detect and classify moving and stationary targets using ground surveillance pulse-Doppler radars (PDRs). A two-stage support vector machine (SVM) based target classification scheme is described here. The first stage tries to estimate the most descriptive temporal segment of the radar echo signal and the target signal is classified using the selected temporal segment in the second stage. Mel-frequency cepstral coefficients of radar echo signals are used as feature vectors in both stages. The proposed system is compared with the covariance and Gaussian mixture model (GMM) based classifiers. The effects of the window duration and number of feature parameters over classification performance are also investigated. Experimental results are presented.

Course
Other identifiers
Book Title
Citation
Published Version (Please cite this version)