Title :
Efficient algorithm for three-dimensional target feature extraction via CLSAR
Author :
Su, Z. ; Peng, Y. ; Wang, X.
Author_Institution :
Dept. of Electron. Eng., Tsinghua Univ., Beijing, China
fDate :
7/22/2004 12:00:00 AM
Abstract :
A lower dimensional position searching (LODIPS) algorithm is proposed for three-dimensional (3-D) target feature extraction via the curvilinear synthetic aperture radar (CLSAR) system. Compared with another similarly structured algorithm RELAX, the LODIPS algorithm dramatically reduces the computational load through the utilisation of lower dimensional FFTs. Simulation results show that the new algorithm can reach CRB at low SNR.
Keywords :
fast Fourier transforms; feature extraction; radar imaging; synthetic aperture radar; Cramer-Rao bounds; LODIPS algorithm; RELAX algorithm; SNR; computational load; curvilinear synthetic aperture radar system; lower dimensional FFT; lower dimensional position searching; three dimensional target feature extraction;
Journal_Title :
Electronics Letters
DOI :
10.1049/el:20040593
