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An unbiased Pisarenko harmonic decomposition estimator for single-tone frequency

机译:单音频率的无偏Pisarenko谐波分解估计器

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In this paper, closed-form frequency estimation of a single real tone in white noise is addressed. Based on the alternative derivation of Pisarenko's frequency estimate using the standard sample covariance of the noisy sinusoid with lags 1 and 2, we have devised novel sample covariance expressions, which are inspired from the modified covariance (MC) method, to achieve unbiased frequency estimation. The variance of the proposed Pisarenko harmonic decomposition (PHD) variant is also derived. Computer simulations are included to corroborate the theoretical development and to demonstrate its superiority over the MC and original PHD algorithms.
机译:在本文中,解决了白噪声中单个真实音调的闭式频率估计问题。基于使用滞后1和2的有噪声正弦波的标准样本协方差来进行Pisarenko频率估计的替代推导,我们设计了新颖的样本协方差表达式,该表达式得益于改进的协方差(MC)方法,以实现无偏频率估计。还推导了提出的Pisarenko谐波分解(PHD)变体的方差。包括计算机仿真,以证实理论发展并证明其优于MC和原始PHD算法。

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