Study of Confidence Degree Decision for Seeker's Tracking Information in Dual-mode Guidance System
Xiaoping Zhu · Fire Control and Command Control · 2007
In this paper,the usability of seekers' measure information is denoted by introducing the confidence degree.The fuzzy logic reference system is designed based on expert knowledge database including various situations the seekers face.Taking the real time and precision requirements into account,a method of translating fuzzy inference rules into off-line trained neural network is put forward to solve the time-consuming problem of deciding the confidence degree of objective tracking information of the seekers in dual-mode guidance system.The validity of this method is proved by simulation.