Pulse Doppler Radar Target Recognition Using a Two-Stage SVM Procedure
Cetin, A. E.
IEEE Trans on Aerospace and Electronic Systems
1450 - 1457
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Eryildirim, A., & Onaran, I. (2011). Pulse doppler radar target recognition using a two-stage SVM procedure. Aerospace and Electronic Systems, IEEE Transactions on, 47(2), 1450-1457.
Please cite this item using this persistent URLhttp://hdl.handle.net/11693/12048
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.