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CONSISTENCY ANALYSIS OF A FREQUENCY DOMAIN SUBSPACE ALGORITHM FOR MULTI-COMPONENT HARMONIC RETRIEVAL

机译:多分量谐波检索频域子空间算法的一致性分析

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A new frequency domain algorithm for multi-component harmonic retrieval has been developed recently. The method is based on using Discrete Fourier Transform (DFT) data and enables the user to select frequency sub-bands within which the frequencies of the harmonics of interest are known to reside. The technique provides a very good attenuation of colored noise and other disturbances residing outside the frequency band of interest. This paper presents a consistency analysis of the subspace based estimation algorithm. The analysis provides sufficient conditions for consistency of the sinusoidal frequency estimates in terms of required number of DFT data. A small numerical example is also presented comparing the new approach with the well known ESPRIT method. The result clearly indicates that the method has a large potential.
机译:最近开发了一种新的多分量谐波检索频域算法。该方法基于使用离散傅里叶变换(DFT)数据,使用户能够选择频率子频带,其中已知感兴趣的谐波的频率驻留。该技术提供了对彩色噪声的衰减和驻留在频带外的其他干扰。本文介绍了基于子空间估计算法的一致性分析。分析为所需数量的DFT数据的正弦频率估计的一致性提供了足够的条件。还提出了一个小型数值例子,比较了具有众所周知的ESPRIT方法的新方法。结果清楚地表明该方法具有很大的潜力。

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