Title :
Super-resolution imaging used in chirp scaling algorithm
Author :
Qiu, Xiaohui ; Zhu, Zhaoda
Author_Institution :
Dept. of Electron. Eng., Nanjing Univ. of Aeronaut. & Astron., China
Abstract :
Compared with other methods, the chirp scaling (CS) algorithm is a novel one for compensating the range migration without any interpolation in SAR imaging. However, its resolution ability cannot exceed that of Fourier transformation. To realize the super-resolution ability in the azimuth direction a chirp scaling Burg (CSB) algorithm is proposed in this paper, which can still reserve the advantage of avoiding any interpolation in the process of the space-variant two dimensional correlation in CS algorithm
Keywords :
Doppler radar; FM radar; airborne radar; compensation; inverse problems; matched filters; pulse compression; radar computing; radar cross-sections; radar imaging; radar signal processing; synthetic aperture radar; 1D inverse transform; Burg algorithm; FM signal; SAR imaging; azimuth direction; chirp scaling algorithm; linear prediction and extrapolation; matched filter; quadratic phase perturbation function; range Doppler domain; range migration compensation; side-looking radar; space-variant two dimensional correlation; superresolution imaging; target reflectivity density function; Azimuth; Chirp; Fourier transforms; Image resolution; Interpolation; Matched filters; Radar polarimetry; Radar scattering; Signal resolution; Synthetic aperture radar;
Conference_Titel :
Aerospace and Electronics Conference, 1996. NAECON 1996., Proceedings of the IEEE 1996 National
Conference_Location :
Dayton, OH
Print_ISBN :
0-7803-3306-3
DOI :
10.1109/NAECON.1996.517673
