PHASE COMPENSATION OF SAR/ISAR USING IMAGE COST FUNCTIONS
Li Xi①; Ni Jinlin②; Liu Guosui①; Luo Yi①; Gu Hong①; Su Weimin①
①Dept. of Electron. Eng., Nanjing University of Science and Technology Nanjing 210094;②Naning Research Institute of Electronic Technology Nanjing 210013
Abstract：Phase compensation is a critical step of Synthetic Aperture Radar(SAR) and Inverse Synthetic Aperture Radar(ISAR) imaging technique. This paper proposes a progressive approach algorithm based on image cost function to compensate the random phase error in SAR/ISAR imagery. Four kinds of image cost function are discussed. The comparison of the proposed function is performed by analyzing the simulation and experimental results. It is found out that Shannon entropy function is the best one. Based on it, the interference phase in unknown signal can be estimated accurately.
2000, Vol. 22 
