基于交叉项删除维格纳表示(CDWR)的瞬时频率估计

S. Kadambe, R. Orr
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引用次数: 5

摘要

提出了一种基于交叉项删除维格纳表示(CDWR)的瞬时频率估计方法。通过对估计的均值和方差的推导,验证了该估计器的性能。在一定的约束条件下,证明了该估计量是无偏最小方差。本文还推导了这两种信号的Cramer-Rao下界。从实验结果可以看出,当信噪比(SNR)大于-3 dB时,这两类信号的中频估计的均方误差接近理论边界。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Instantaneous frequency estimation using the crossterm deleted Wigner representation (CDWR)
In this paper, an instantaneous frequency (IF) estimator based on the crossterm deleted Wigner representation (CDWR) is described. The performance of this estimator is verified by deriving the mean and the variance of the estimate. It has been demonstrated that the estimator is unbiased minimum variance under certain constraints. The Cramer-Rao lower bound for the two types of signals considered here are also derived. From the experimental results it can be seen that the mean square error of the estimates of the IF of these two types of signals is close to the theoretical bound at signal to noise ratios (SNR) greater than -3 dB.
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