Title :
A Novel Range Alignment Algorithm for Real Time ISAR Imaging
Author :
Mingjing, Liu ; Meiguo, Gao ; Xiongjun, Fu
Author_Institution :
Sch. of Inf. Sci. & Technol., Beijing Inst. of Technol.
Abstract :
Translational motion compensation is the key problem in inverse synthetic aperture radar (ISAR) imaging. It is usually accomplished in two steps: range alignment and phase compensation. The calculation load of range alignment is the heaviest in ISAR imaging processing. In order to meet the requirements of real time ISAR imaging, a novel range alignment algorithm is proposed in this paper. This algorithm is a combination of the frequency domain algorithm and the accumulated cross correlation algorithm and is implemented in two steps. The analysis of its computational complexity and the tests with real data demonstrate the efficiency and the accuracy of the algorithm
Keywords :
computational complexity; frequency-domain analysis; motion compensation; radar imaging; synthetic aperture radar; accumulated cross correlation algorithm; computational complexity; frequency domain algorithm; inverse synthetic aperture radar imaging; phase compensation algorithm; range alignment algorithm; real time ISAR imaging; translational motion compensation; Computational complexity; Doppler radar; Entropy; Frequency domain analysis; High-resolution imaging; Image resolution; Inverse synthetic aperture radar; Motion compensation; Radar imaging; Signal resolution;
Conference_Titel :
Signal Processing, 2006 8th International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7803-9736-3
Electronic_ISBN :
0-7803-9736-3
DOI :
10.1109/ICOSP.2006.346032
