Title :
Stistical relax method for super resolution ISAR imaging
Author :
Zhang, Long ; He, Xiaohui
Author_Institution :
Coll. of Electron. & Inf., Xi´´an Polytech. Univ., Xi´´an, China
Abstract :
An effective statistical method of detecting the scatterers center for super-resolution ISAR imaging is presented. By exploiting the statistics of background noise and clutters, Gaussianity test(GT) is applied to extract the scatterers center in range cells under desired constant false alarm rate(CFAR). Combined with extended Relax algorithm, super resolution ISAR image of target is generated. Theoretical analysis and experimental results of real data show that proposed method exhibit better performance with expected to conventional high resolution method.
Keywords :
image resolution; radar imaging; statistical analysis; synthetic aperture radar; Gaussianity test; background clutters; background noise; constant false alarm rate; statistical relax method; super resolution ISAR imaging; Aircraft; Clutter; Image resolution; Imaging; Marine vehicles; Noise; Statistical analysis; Gaussianity test(GT); ISAR; Relax; constant false alarm rate(CFAR); styling;
Conference_Titel :
Signal Processing Systems (ICSPS), 2010 2nd International Conference on
Conference_Location :
Dalian
Print_ISBN :
978-1-4244-6892-8
Electronic_ISBN :
978-1-4244-6893-5
DOI :
10.1109/ICSPS.2010.5555617
