基于伪维格纳分布的信号参数最大似然估计

H. Ijima, A. Ohsumi, H. Sato, I. Djurović
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引用次数: 6

摘要

本文提出了一种识别受随机噪声干扰的接收信号中未知参数的新方法。我们的关键方法是为伪维格纳分布产生的时频随机场构造一个似然(比)函数。通过数值仿真验证了该方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Maximum likelihood estimation for signal parameters using pseudo-Wigner distribution
In this paper a novel method for identifying unknown parameters associated with the received signals which are corrupted by random noise is established. Our key approach is to construct a likelihood(-ratio) function for the time-frequency random field generated by the pseudo-Wigner distribution. Numerical simulations are presented to verify the efficacy of the proposed method.
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