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Calculation of the Target's Radiometric Temperatures with a Millimeter Wave Radiometer Based on BP Neural Networks
Received date: 2009-04-07
Online published: 2025-05-19
A method to calculate the radiometric temperature of the objective with a passive millimeter wave seeker based on the function approximation of the back propagation neural networks was proposed. The result of simulation shows that the method is reasonable and precise; it can get a good result for the target's radiometric temperatures and plot the temperature factor and error-curve, so it has the effective to recognize the center of targets. The method has the important significance in precision guide weapon.
LIU Tean , NIE Jianying . Calculation of the Target's Radiometric Temperatures with a Millimeter Wave Radiometer Based on BP Neural Networks[J]. Journal of Projectiles, Rockets, Missiles and Guidance, 2010 , 30(1) : 193 -196 . DOI: 10.15892/j.cnki.djzdxb.2010.01.051
| [1] | 李兴国. 毫米波近感技术及应用[M]. 北京: 国防工业出版社, 1991. |
| [2] | 朱大奇, 史慧. 人工神经网络原理及应用[M]. 北京: 科学出版社, 2006. |
| [3] | Poggio T. Networks for approximation and learning[J]. Proceeding of the IEEE, 1990, 78 (9): 1481- 1497. |
| [4] | 聂建英, 李兴国, 娄国伟. 毫米波隐身材料主要参数的计算及误差分析[J]. 兵工学报, 2004, 25 (6): 734- 737. |
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