Title :
Multidimensional real aperture radar imaging
Author :
Liang, Xingdong ; Tao, Ran ; Zhou, Shiyong ; Wang, Yue
Author_Institution :
Dept. of Electron. Eng., Beijing Inst. of Technol., China
Abstract :
One drawback of real aperture radar imaging is that closely placed scatterers that can not be separated in range will not be drawn apart in-cross range. An algorithm based on super-resolution spectral estimation and total least squares is proposed in order to solve this problem. The MUSIC algorithm is used to estimate the range position of closely located scatterers with high accuracy and total least squares is used to estimate the cross-range position of scatterers. Theoretical analysis and simulation show this method is capable of resolving closely placed scatterers and is robust to range position estimation error so that a more accurate multidimensional image of the target can be generated
Keywords :
electromagnetic wave scattering; image resolution; least squares approximations; parameter estimation; radar imaging; radar resolution; spectral analysis; MUSIC algorithm; closely placed scatterers; multidimensional image; multidimensional real aperture radar imaging; range position estimation error; super-resolution spectral estimation; total least squares; Analytical models; Estimation error; Image analysis; Image resolution; Least squares approximation; Multidimensional systems; Multiple signal classification; Radar imaging; Radar scattering; Robustness;
Conference_Titel :
Radar, 2001 CIE International Conference on, Proceedings
Conference_Location :
Beijing
Print_ISBN :
0-7803-7000-7
DOI :
10.1109/ICR.2001.984807
