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《Science & Technology Review》 2009-23
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Study on 3 Millimeter Wave Radiation by Using Neural Network Inversion Method

GONG Bing1, LOU Guowei1, LI Xingguo1, NIE Jianying1,2 1. School of Electronic Engineering and Optoelectronic Technique, Nanjing University of Science and Technology, Nanjing 210094, China 2. College of Mathematics and Computer Science, Fuzhou University, Fuzhou 350002, China  
The relationship between the passive detecting system's antenna temperature and the apparent temperature can be expressed by a morbid integral equation. A dynamic approximation method for the inversion of the apparent temperature based on the antenna temperature is proposed, by solving a Fredholm integral equation of the first kind. The passive detector in this paper is 3 mm Dicke radiometer. Firstly, different objects and backgrounds are measured by the radiometer to obtain the antenna temperature. Secondly, withthe introduction of the factor of radiation temperature and the factor weight of the apparent temperature, the dynamic approximation method is formulated by using BP neural network. Finally, the effect factors on the apparent temperature are analyzed based on the above method. The relevant antenna temperature can be obtained by the measurement directly. The curve of temperature factors can be used to calculate the apparent temperature of objects easily to obtain the objects' radiation characteristics. The above approximation method can be used in the study of millimeter wave radiation characteristics.
【Fund】: 国防预研基金项目(9140A01020107BQ0211)
【CateGory Index】: TP722
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