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Wigner-Ville distribution and cross Wigner-Ville distribution of noisy signals

机译:噪声信号的Wigner-Ville分布和交叉Wigner-Ville分布

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摘要

The Wigner-Ville distribution (WVD) and the cross Wigner-Ville distribution (XWVD) have been shown to be efficient in the estimation of instantaneous frequency (IF). But the statistical result of the IF estimation from XWVD peak is much better than using WVD peak. The reason is given from a statistical point of view. Theoretical studies show that XWVD of the analyzed signal can be estimated from XWVD of the noise-contaminated signal. The estimation is unbiased, and the variance is equal to that of noise. In this case, WVD cannot be estimated from WVD of the noise-contaminated signal. Therefore, higher SNR is required when WVD is used to analyze signals.
机译:Wigner-Ville分布(WVD)和Cross Wigner-Ville分布(XWVD)已被证明在估计瞬时频率(IF)方面非常有效。但是,根据XWVD峰值进行IF估计的统计结果比使用WVD峰值要好得多。原因是从统计角度给出的。理论研究表明,可以从受噪声污染的信号的XWVD估计分析信号的XWVD。估计是无偏的,并且方差等于噪声的方差。在这种情况下,无法从受噪声污染的信号的WVD估算WVD。因此,当使用WVD分析信号时,需要更高的SNR。

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