Title :
Phase compensation in ISAR imaging: comparison between maximum likelihood-based approach and minimum entropy-based approach
Author :
Qiu, Xiaohui ; Zhao, Yang ; Cheng, Alice Heng Wang ; Yeo, Siew Yam
Author_Institution :
Dept. of Inf. Eng., Nanjing Post & Tele. Univ., China
Abstract :
Inverse synthetic aperture radar (ISAR) imaging is a powerful tool in microwave imaging for moving targets. In this paper, an analysis and comparison between maximum likelihood-based and minimum entropy-based approaches for phase compensation in ISAR imaging have been carried out. Moreover, real ISAR data processing is presented and some results like the autofocusing effect, computation complexity and convergence performance are discussed.
Keywords :
computational complexity; convergence of numerical methods; maximum likelihood estimation; minimum entropy methods; motion compensation; radar imaging; radar resolution; synthetic aperture radar; ISAR data processing; ISAR imaging; ISAR phase compensation; autofocusing effect; computation complexity; convergence; inverse synthetic aperture radar imaging; maximum likelihood-based method; minimum entropy-based method; motion compensation; moving target microwave imaging; range resolution; Frequency; High-resolution imaging; Image resolution; Microwave imaging; Motion compensation; Optical imaging; Optical scattering; Phase estimation; Radar imaging; Signal resolution;
Conference_Titel :
Antennas and Propagation Society International Symposium, 2004. IEEE
Print_ISBN :
0-7803-8302-8
DOI :
10.1109/APS.2004.1330625
