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Genetic Algorithm Based Linear Region Extension for Multivariable Monopulse Tracking Systems

다변수 모노펄스 추적 시스템에서 유전 알고리즘 기반 선형구간 확장

  • 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)
  • 정진우 (국방과학연구소 제2기술연구본부) ;
  • 김재신 (국방과학연구소 제2기술연구본부) ;
  • 류영재 (국방과학연구소 제2기술연구본부)
  • Received : 2016.07.25
  • Accepted : 2017.02.10
  • Published : 2017.04.05

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

References

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