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ANALYSIS OF DISCRETIZATION ERRORS IN IF ESTIMATION OF POLYNOMIAL PHASE SIGNALS

机译:多项式相位信号估计中的离散化误差分析

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The peak of the polynomial Wigner-Ville distribution (PWVD) is a method for providing an unbiased estimate of the instantaneous frequency (IF) for polynomial phase signals. The theoretical lower variance bound, assuming a continuous frequency variable, has been studied previously in [1]. However, due to the discretization of the PWVD required for computer implementation, there is also another theoretical lower variance bound which is a result of the discretization error. In this paper, we study the relationship between the discretization error bound and the theoretical lower variance bound and determine the minimum number of frequency samples required such that the theoretical lower variance bound can be attained.
机译:多项式Wigner-Ville分布(PWVD)的峰是用于提供多项式相位信号的瞬时频率(IF)的不偏不倚估计的方法。假设连续频率变量的理论较低方差绑定,已经在[1]中已经研究过。然而,由于计算机实现所需的PWVD的离散化,还存在另一个理论较低的差异,这是离散化误差的结果。在本文中,我们研究了离散误差绑定与理论下差之间的关系,并确定了所需的频率样本的最小数量,使得可以获得理论更低的偏差。

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