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中国物理学会期刊

局部异常因子优化的椭圆拟合算法及其在光纤振动传感相位解调中的应用

CSTR: 32037.14.aps.71.20220401

Phase demodulation of fiber vibration sensing by modified ellipse fitting algorithm based on local outlier factor optimization

CSTR: 32037.14.aps.71.20220401
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  • 已有的椭圆拟合算法利用李萨如图形解决了非理想3×3耦合器所引入的解调结果误差, 但在研究中没有充分考虑电路噪声与相位噪声对李萨如图形的影响. 针对噪声影响提出了基于局部异常因子优化的3×3耦合器椭圆拟合解调方法, 可以有效地消除李萨如图形中因噪声产生的离群点. 仿真结果表明, 该方法能够实现准确解调, 利用蒙特卡洛分析得出综合误差率约为0.13%, 验证了方法的稳定性. 与传统最小二乘拟合方法相比, 所提方法有效地提高了信号解调的稳定性和精确度.

     

    In the existing ellipse fitting algorithms, the Lissajous figure is used to solve the demodulation error caused by the non-ideal 3×3 couplers. However, the influence of circuit noise and phase noise on Lissajous figure are not fully considered in the studies. In this work, an ellipse fitting demodulation method based on local outlier factor (LOF) algorithm is proposed, which can effectively eliminate the outlier points in Lissajous figure caused by noises. The proposed method proves to achieve the accurate demodulation of the signals by numerical simulations. In addition, the Monte Carlo analysis is used to obtain the comprehensive error rate of about 0.13%, which verifies the stability of the proposed method. Compared with the traditional least square fitting method, this method improves the stability and accuracy of demodulated signals.

     

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