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《Infrared Technology》 2019-06
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Passive Ranging Algorithm Based on Improved Elman Neural Network

FU Xiaoning;CHEN Liqiang;DONG Que;School of Mechano-Electronic Engineering, Xidian University;GUIDE INFRARED GROUP;  
To meet the needs of modern warfare, accurate estimation of the distance of targets in air is becoming increasingly important. Owing to the attenuation of infrared radiation of targets during atmospheric propagation, the radiation of targets at different wavelengths change with the change in transmission distance. Therefore, the radiation of different wavelengths contains information regarding the distance of the targets. Based on the above-mentioned principles, this paper utilizes the Modtran, which is a software used to transfer atmospheric in MARCOR to generate the atmospheric transmittance data of airborne targets in different bands to obtain the zenith angle of the targets using a theodolite, and to establish a passive ranging model based on an improvised form of the Elman neural network. The simulation results indicate that the algorithm proposed in this paper can effectively enhance the accuracy of target distance estimation in air.
【CateGory Index】: TP183;TN219;E92
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【Citations】
Chinese Journal Full-text Database 1 Hits
1 Fu Xiaoning;Shan Lanxin;Wang Rui;School of Mechano-Electronic Engineering, Xidian University;;A New Ranging Formula for Oxygen Absorption Based Passive Ranging[J];光学学报;2015-12
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