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Performance analysis of cyclic statistics for the estimation of harmonics in multiplicative and additive noise

机译:乘积噪声和加性噪声中谐波估计的循环统计性能分析

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The problem of estimating the frequencies of harmonics in multiplicative and additive noise is addressed. The cyclic mean (CM) can be used if the multiplicative noise has nonzero mean; the cyclic variance (CV) can be used whether or not the multiplicative noise has zero mean. This paper answers the following question: under what conditions should we use the CV instead of the CM? The criteria used are the ease of detection and the accuracy of estimation. The CV is preferable to the CM if the coherent to noncoherent harmonic power ratio is less than a threshold that depends on the first four cumulants; when the noises are colored, this threshold becomes frequency dependent. Third- and fourth-order cyclic statistics are also studied, and it is shown that they will always be outperformed either by the CM or CV when the multiplicative noise is symmetric.
机译:解决了在乘法和加性噪声中估计谐波频率的问题。如果乘法噪声具有非零均值,则可以使用循环均值(CM)。无论乘性噪声是否具有零均值,都可以使用循环方差(CV)。本文回答了以下问题:在什么情况下应该使用CV代替CM?使用的标准是易于检测和估计的准确性。如果相干与非相干谐波功率之比小于取决于前四个累积量的阈值,则CV优于CM。当噪声被着色时,该阈值与频率有关。还研究了三阶和四阶循环统计量,结果表明,当乘法噪声是对称的时,它们无论在CM还是CV上总是会胜过。

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