时变振幅指数信号的极分解频率估计

O. Besson, P. Stoica
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引用次数: 0

摘要

研究了时变振幅复指数信号的中心频率估计问题。提出了一种不需要对信号包络进行太多假设的方法。它是基于一定协方差矩阵的极坐标分解。极坐标分解是对复数表示形式z=re/sup i/spl theta//且r>0的矩阵的推广,特别适合于所考虑的应用。引入了截断极分解的概念。基于这些分解,给出了估计信号频率的简单方案。本文提出的方法不依赖于任何时变振幅的假设结构,并且在大类别的信号中显示出良好的性能。实际雷达数据验证了该方法的有效性和鲁棒性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
On frequency estimation of exponential signals with time-varying amplitude via polar decomposition
This paper addresses the estimation of the center frequency of complex exponential signals with time-varying amplitude. A method, which requires few assumptions regarding the signal's envelope is proposed. It is based on the polar decomposition of a certain covariance matrix. The polar decomposition, a generalization to matrices of the complex number representation z=re/sup i/spl theta// with r>0, is particularly suitable for the application considered. The notion of truncated polar decomposition is introduced. Simple schemes for estimating the signal's frequency are presented, based on these decompositions. The methods presented herein do not rely on any assumed structure for the time-varying amplitude, and they are shown to possess good performance in a large class of signals. The effectiveness and robustness of our method is demonstrated on real radar data.
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