基于特征分析的未知低通包络正弦信号的频率估计

F. Ge, Q. Wan, Xiutan Wang, Yingning Peng
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引用次数: 8

摘要

本文研究了低通包络未知正弦信号的频率估计问题。在这种情况下,由于建模错误,传统的基于子空间的方法的性能显著下降。通过对分布式信号源参数定位方法的研究,提出了一种基于特征分析的频率估计方法。将该方法与非线性最小二乘(NLS)方法以及Cramer-Rao界(CRB)方法进行了比较。仿真结果表明,该方法具有较好的精度和超分辨率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Frequency estimation of the sinusoidal signals with unknown lowpass envelopes based on the eigenanalysis
In this paper, the frequency estimation of the sinusoidal signals with unknown lowpass envelope is addressed. Due to mismodeling, the performance of the conventional subspace-based method degrades significantly in these cases. By developing the method applied to the parametric localization of distributed sources, an eigenanalysis-based method is proposed for the frequency estimate. The comparisons of the proposed method and the nonlinear least-squares (NLS) approach with each other as well as the Cramer-Rao bound (CRB), are presented. The simulations illustrate the good performance in the precision and super-resolution.
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