A Statistical Inversion Algorithm for Aperture Synthesis Radiometers

摘要：

In order to deal with the inverse problem in aperture synthesis radiometers (ASRs) imaging, some deterministic inversion algorithms are proposed. However, these inversion algorithms are deficient in utilizing the statistical properties of visibility samples and reconstructed image. In this paper, the probability density functions of visibility samples and pixels of reconstructed image are investigated. A statistical inversion algorithm is presented, in which the statistical properties are introduced to constrain solution of the inverse problem. Simulation and experiment results show the statistical inversion algorithm can greatly improve the image quality of ASRs.

关键词： aperture synthesis radiometers inverse problem statistical property inversion algorithm

作者: Fangmin He Qingxia Li Yaoting Zhu Ke Chen Zubiao Xiong

作者单位: Dept.of Electronics and Information Engineering Huazhong University of Science and Technology,Wuhan, China

会议类型: 国际会议

会议名称: 2009 3rd IEEE International Symposium on Microwave,Antenna,Progagation and EMC Technologies for Wireless Communications(第三届微波、天线、电波传播和EMC技术国际会议

会议地点: 北京

会议语种:英文

页码: 342-345

在线出版日期: 2009-10-27（万方平台首次上网日期，不代表论文的发表时间）