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Accuracy Comparison of Existing 3 Models in Estimating Time-Varying Variance of Phase Deviation of a Simple Planar Oscillator

간단한 평면 오실레이터의 위상 천이의 시변 분산에 대한 기존 3개 모델의 추정 정확도 비교

  • Received : 2015.11.06
  • Accepted : 2015.11.27
  • Published : 2015.12.31

Abstract

Through Montecarlo simulation, this study compares how accurately the existing three phase deviation models estimate the time-varying variance of a planar oscillator perturbed by Gaussian noises. The comparison reveals that Kaertner model estimates the time-varying variance with about 1000 times higher accuracy than ISF or PP model exhibits. Additionally, it finds that the estimation accuracy of PP model is somewhat higher than that of ISF model.

본 연구에서는, 가우시안 잡음에 의해 교란된 평면 오실레이터의 위상 천이의 시변 분산을, 기존 3개 위상천이 모델이 얼마나 정확하게 추정할 수 있는지를 몬테카를로 시뮬레이션을 통하여 비교한다. 비교 결과, Kaertner 모델이 ISF 모델이나 PP 모델 보다 약 1000배 높은 정확도를 가지고 위상 천이의 시변 분산을 추정한다는 것을 알 수 있다. 또한, PP 모델의 추정 정확도는 ISF 모델 보다 다소 높다는 것을 알 수 있다.

Keywords

References

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