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Computational analysis of rotational search methods for adaptive Pisarenko harmonic retrieval

机译:自适应Pisarenko谐波检索旋转搜索方法的计算分析。

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摘要

The rotational search method (RSM), which reduces the computational burden of the Pisarenko method for identifying undamped sinusoids in additive noise, is discussed. A brief review of previous adaptive algorithms for implementing the method is presented. Two simulations are presented which show the inherent sensitivity of the RSM algorithm. The sensitivity is shown to depend upon the Rayleigh-Ritz eigenvector estimate and the value of the minimum eigenvalue estimate. The errors in their tracking result in a loss of search direction orthogonality to the estimated minimum eigenvector. A higher precision for the enforced search direction orthogonality which minimizes the added computation is proposed, resulting in the altered RSM (ARSM).
机译:讨论了旋转搜索方法(RSM),该方法减少了用于识别加性噪声中未阻尼正弦波的Pisarenko方法的计算负担。简要回顾了用于实现该方法的先前自适应算法。给出了两个仿真,它们显示了RSM算法的固有灵敏度。示出了灵敏度取决于瑞利-里兹特征向量估计和最小特征值估计的值。它们跟踪中的错误导致搜索方向与估计的最小特征向量正交性的损失。提出了一种用于强制搜索方向正交性的更高精度,该精度可最大程度地减少添加的计算,从而导致更改后的RSM(ARSM)。

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