作者
Pan Cao, Mengdao Xing, Guangcai Sun, Yachao Li, Zheng Bao
发表日期
2009/10/23
期刊
IEEE Geoscience and Remote Sensing Letters
卷号
7
期号
1
页码范围
205-209
出版商
IEEE
简介
In this letter, a novel approach to autofocus for inverse synthetic aperture radar (ISAR) imaging called minimum entropy via subspace autofocus is presented. This scheme uses the weighted signal subspace to express the phase errors left in the echoes after range-bin alignment and estimates the optimal weights sequentially via an optimization algorithm based on an entropy minimization principle, and its robustness and convergence can be ensured by the optimization method. Both the theoretical analysis and processing results of the real ISAR data have confirmed the feasibility of this new scheme.
引用总数
200920102011201220132014201520162017201820192020202120222023135774246585664
学术搜索中的文章
P Cao, M Xing, G Sun, Y Li, Z Bao - IEEE Geoscience and Remote Sensing Letters, 2009