Entropy Description of Measured Information in Microwave Imaging

摘要：

For the reconstruction of permittivity distribution in microwave imaging,the information quantity of measured data plays an important role for the reconstruction precision. And the information quantity depends greatly on the number of measurement points. So it is necessary to determine the number of measurement pointsInanalysis and evaluation of a large number of measured data.In This paper,a mathematical methodology based on information entropy is proposed to describe the measured information and determine the required number of measurement pointsInmicrowave imaging. Moreover Bayesian theory is used to calculate the information entropy.Numerical tests show that the methodology proposed can describe the measured information effectively. As a result,this methodology can be applied to instruct how to determine the number of measurement pointsInmicrowave imaging.

关键词： Microwave Imaging Information Entropy Bayesian Theory Evaluation Factor

作者: Li Jing Huang Kama

作者单位: College of Electronics and Information Engineering Sichuan University,Chengdu 610064

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: 774-777

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）