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首页> 外文会议>Instrumentation and Measurement Technology Conference (I2MTC), 2012 IEEE International >MVDR spectral estimation by spectral peak dichotomous search
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MVDR spectral estimation by spectral peak dichotomous search

机译：通过谱峰二分搜索估算MVDR谱

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摘要

Canonical correlation analysis (CCA) and minimum variance distortionless response (MVDR) are typical nonparametric spectral estimation methods based on matched filterbank theory. To avoid the common signal mismatch problem, an algorithm combining CCA and MVDR is proposed for peak frequency modification. It consists of two stages: a coarse-peak search in CCA spectrum, and followed with a fine-peak search using dichotomous search strategy in MVDR spectrum. Furthermore the new algorithm is extended to the magnitude squared coherence (MSC) spectral estimation. Simulations show that the peak frequency estimation accuracy is improved simply and efficiently, with only slight computation increased.
机译：典型的相关分析（CCA）和最小方差无失真响应（MVDR）是基于匹配滤波器组理论的典型非参数频谱估计方法。为了避免常见的信号失配问题，提出了一种结合CCA和MVDR的峰值频率修改算法。它包括两个阶段：在CCA频谱中进行粗峰搜索，然后在MVDR频谱中使用二分搜索策略进行细峰搜索。此外，新算法已扩展到幅度平方相干（MSC）频谱估计。仿真表明，简单而有效地提高了峰值频率估计精度，仅增加了很少的计算量。

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