Fast Minimum Entropy Phase Compensation for ISAR Imaging
Qiu Xiao-hui①; Heng Wang Cheng Alice②; Yeo Siew Yam②
①Dept of Info. Eng., Nanjing Univ. of Posts and Telecom., Nanjing 210003 China;②Radar Research Center DSO（Defense Science Organization） National Lab., Singapore 118230 Republic of Singapore
Abstract：A novel fast phase compensation approach based on two-dimensional minimal image entropy is presented in this paper for Inverse Synthetic Aperture Radar(ISAR) imaging. Compared with the other methods, the proposed approach has better effect of autofocusing, better computation efficiency, global minimal entropy as well as explicit expression applied easily, and these advantages are demonstrated by the analysis and data processing results.
2004, Vol. 26 
