Research on Evaluation Method of Anti-interference Performance of Infrared Seeker
MA Chao, LU Zhifeng, YU Haiming, HONG Zehua, YANG Jie, QIAO Yu
1.School of Electronic Information and Electrical Engineering，Shanghai Jiao Tong University，Shanghai 200240，China；
2.Shanghai Electro-Mechanical Engineering Institute, Shanghai 201109, China
Guide
Abstract Facing the increasingly complicated war environment, the anti-interference performance of the infrared seeker needs to be continually improved. To meet this challenge, the research on the anti-interference performance of infrared weapon can provide technical support of the weapon system, which makes the great construction. This paper presents a method to evaluate the anti-interference performance based on random forest method. Through the idea of machine learning, the comprehensive anti-interference performance value of the guidance system is calculated, which provides a new idea for the evaluation of anti-interference performance of infrared imaging seeker. The experimental results show that the algorithm is reliable and accurate, and it can effectively evaluate the anti-interference performance of infrared seeker.
Received: 02 July 2018
Published: 24 October 2018
Fund:
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2018, Vol. 1 
