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http://dx.doi.org/10.9766/KIMST.2017.20.2.272

Genetic Algorithm Based Linear Region Extension for Multivariable Monopulse Tracking Systems  

Jung, Jinwoo (The 2nd Research and Development Institute, Agency for Defense Development)
Kim, Jaesin (The 2nd Research and Development Institute, Agency for Defense Development)
Ryu, Young-Jae (The 2nd Research and Development Institute, Agency for Defense Development)
Publication Information
Journal of the Korea Institute of Military Science and Technology / v.20, no.2, 2017 , pp. 272-278 More about this Journal
Abstract
In this paper, we consider a single-channel amplitude comparison monopulse system(SCACMS). The monopulse ratio curve(MR-C) of the SCACMS can be controlled by an amplitude difference between sum and different signal, a phase difference and the coefficient of the signal processor. We first propose the SCACMS with multiple variables, and then apply a genetic algorithm to optimize the multiple variables in terms of minimizing a root mean square error. The simulation results show that when three variables of the SCACMS are jointly optimized, the linear region of the MR-C can be extended approximately 187 % compared to that of two variables.
Keywords
Monopulse Tracking; Monopulse Ratio Curve; Linear Region; Genetic Algorithm;
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