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A simple, low-computation peak detection algorithm for the angle-of-arrival spectrum for signal subspace methods

机译:一种用于信号子空间方法的到达角频谱的简单,低计算量的峰值检测算法

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摘要

The array manifold, which is a collection of array steering vectors associated with k calibrated directions of arrival, is a commonality for the class of signal subspace methods. In actual direction finding (DF) systems, the array manifold (calibration table) is usually generated by measurements in a noisy environment. Subsequently, the resulting angle-of-arrival (AOA) spectrum, corresponding to as-yet-undetermined signal directions, may be coarse rather than smooth. This results in a costly computational search for the desired peaks. A simple, low-computation solution to determining the true signal peaks for the AOA spectrum is presented.
机译:阵列歧管是与k个校准的到达方向相关联的阵列操纵向量的集合,是信号子空间方法类别的通用性。在实际的测向(DF)系统中,通常通过在嘈杂的环境中进行测量来生成阵列歧管(校准表)。随后,与尚未确定的信号方向相对应的所得到达角(AOA)频谱可能是粗糙的而不是平滑的。这导致对所需峰的昂贵的计算搜索。提出了一种简单,低计算量的解决方案,可确定AOA频谱的真实信号峰值。

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