Frequency estimation of a sinusoidal signal

Pushpendra Singh, Amit Singhal
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引用次数: 5

Abstract

In this paper, we present a simple and intuitive approach to estimate the frequency of a single-tone signal in the presence of noise. We obtain three optimum discrete-time Fourier transform (DTFT) points for application of non-polynomial parabola interpolation to determine the frequency corresponding to its maxima. The results indicate that high performance, in terms of root-mean-square error (RMSE) values comparable to Cramer-Rao lower bound (CRLB), can be achieved over a large range of signal to noise ratio (SNR).
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正弦信号的频率估计
在本文中,我们提出了一种简单直观的方法来估计存在噪声的单音信号的频率。我们得到了三个离散时间傅里叶变换(DTFT)的最佳点,用于应用非多项式抛物线插值,以确定其最大值对应的频率。结果表明,在很大的信噪比(SNR)范围内,可以实现与Cramer-Rao下界(CRLB)相当的均方根误差(RMSE)值的高性能。
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