Study on Entropy Function Optimization Problem in Auto-focusing Algorithm Applied for Radar Imaging

摘要：

Auto-focusing or phase compensation is one important step in inverse synthetic aperture radar (ISAR)imaging. For one of auto-focusing methods, i.e. minimum entropy auto-focusing (MEA) method, the optimal solution is discussed in this paper. Simulation study proves one fact that the cost function of MEA algorithm is not a downward-convex function.Moreover, conclusion is drawn that only original values of compensated phase are chosen properly can MEA algorithm achieves convergence to a global optimal solution.

关键词： radar signal processing inverse synthetic aperture radar(ISAR) imaging auto-focusing

作者: Xiaohui Qiu ZHAO Yang

作者单位: School of Telecom.and Information,Nanjing Post & Telecom.University,Nanjing210003 School of EEE,Nanjing Normal University,Nanjing 210042

会议类型: 国际会议

会议名称: 2008 International Conference on Microwave and Millimeter Wave Technology(2008国际微波毫米波技术会议)

会议地点: 南京

会议语种:英文

页码: 2055-2058

在线出版日期: 2008-04-21（万方平台首次上网日期，不代表论文的发表时间）