【摘要】 为提高信号非整周期采样条件下相位差的估计精度,改善方法的抗噪性能,提出一种非整周期采样信号相位差估计的相频匹配方法。该方法通过两路正弦信号的分段Hilbert变换、互相关、自相关、相位加权平均等技术获得两路信号的相位差。理论分析表明,分段Hilbert变换有效抑制了正弦信号非整周期采样对Hilbert变换的影响。仿真实验结果表明,与互相关法、Hilbert变换法、数据延拓式相关法相比,该方法改善了非整周期采样信号的相位差估计方法的抗噪性能,提高了相位差的估计精度,其相位差估计误差更接近克拉美罗下限。科氏流量计流量检测实验证实了该方法的有效性。更多还原

【Abstract】 To improve the precision and anti-interference performance of phase difference estimation for non-integer periods sampling signals,a phase and frequency matching based phase difference estimation method was proposed. The phase difference estimation was obtained by means of the segmented Hilbert transform to suppress the effect of non-integer periods sampling sinusoidal signals on the Hilbert transform. The simulation results demonstrate that compared with the methods of cross-correlation,Hilbert transform and data extension-based correlation,the proposed method has better phase difference estimation performance for non-integer periods sampling signals in terms of its estimation precision and antiinterference performance. Its phase difference estimation errors are closer to Cramer-Rao lower bound( CRLB). The measurement experiments on the flow rates of Coriolis mass flowmeter validate the effectiveness of the proposed method.更多还原