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A Method of Phase Estimation for Sinusoid Signal Based on Correlation Algorithm

机译:基于相关算法的正弦信号相位估计方法

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Phase difference change rate has been put forward recently , which attracts wide attention as a measuring parameter in the rapid passive positioning system. In the measurement of passive location, positioning accuracy is greatly influenced by the measurement accuracy of corresponding observed quantity and the follow-up effects of wave filtering. A method of phase estimation based on correlation algorithm for sinusoid signal is presented in this paper, which can be used in the design of digital phase interferometer.Using the correlation algorithm method, it is possible to effectively separate part of noise from the useful signal, and also to improve the resistibility to random disturbance and the accuracy of measuring system. The explicit formula explanation in this paper demonstrates that as the most important characteristic of the method, the frequency for received sinusoid signal is not required in advance.The Monte Carlo simulation demonstrates that the phase estimation by this method can be achieved within 1 °, which is more accurate than that with the traditional analog phase interferometer; Compared with the other method by FFT in the digital interferometer, the accuracy of this method is better in the low SNR situation.
机译:近来提出了相位差变化率,作为快速无源定位系统中的测量参数,引起了人们的广泛关注。在被动位置的测量中,定位精度受相应观测量的测量精度和滤波的后续影响很大。提出了一种基于正弦信号相关算法的相位估计方法,可用于数字相位干涉仪的设计中。 使用相关算法方法,可以有效地从有用信号中分离出一部分噪声,还可以提高对随机干扰的抵抗力和测量系统的准确性。本文中明确的公式说明表明,作为该方法的最重要特征,不需要预先接收正弦信号的频率。 蒙特卡罗仿真表明,该方法的相位估计可以在1°以内完成,这比传统的模拟相位干涉仪更准确。与数字干涉仪中的其他FFT方法相比,该方法在低SNR情况下精度更高。

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