| Genetic Algorithm Based Linear Region Extension for Multivariable Monopulse Tracking Systems |
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Jinwoo Jung, Jaesin Kim, Young-Jae Ryu |
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The 2nd Research and Development Institute, Agency for Defense Development |
| 다변수 모노펄스 추적 시스템에서 유전 알고리즘 기반 선형구간 확장 |
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정진우, 김재신, 류영재 |
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국방과학연구소 제2기술연구본부 |
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| Abstract |
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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. |
| Key Words:
Monopulse Tracking, Monopulse Ratio Curve, Linear Region, Genetic Algorithm |
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