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A study of the rank-ambiguity issues in direction-of-arrival estimation

机译:到达方向估计中的秩模糊问题研究

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We first extend a theorem on linear independence of steering vectors proposed by Godara and Cantoni to include more array-sensor scenarios. We then show that an array can have pairwise linearly independent steering vectors even when all its intersensor spacings are more than /spl lambda//2 where /spl lambda/ is the wavelength of the signals. We next propose a theorem for characterizing rank-2 ambiguity, which is applicable to direction-of-arrival estimation applications where the array sensor locations are fixed and known. Subsequently, we identify a class of three-sensor arrays and a class of uniform circular arrays that have pairwise linearly independent steering vectors and are free of rank-2 ambiguity. We also show that collinearity of sensors, uniformity in intersensor spacings, the dimensions of intersensor spacings, or a combination of some or all of these may give rise to linearly dependent steering vectors. In particular, we demonstrate that for a m-sensor array, m linearly dependent steering vectors exist if the aperture is greater than [(m-1)/2]/spl lambda//2, or when at least ([(m+1)/2]+1) sensors are collinear.
机译:我们首先扩展由Godara和Cantoni提出的关于转向矢量的线性独立性的定理,以包括更多的阵列传感器场景。然后,我们表明即使数组的所有传感器间间距都大于/ spl lambda // 2,其中/ spl lambda /是信号的波长,该数组也可以具有成对线性独立的操纵向量。接下来,我们提出一个表征2级模糊度的定理,该定理适用于阵列传感器位置固定且已知的到达方向估计应用。随后,我们确定了一类三传感器阵列和一类均匀圆形阵列,它们具有成对线性独立的转向矢量,并且没有等级2的歧义。我们还表明,传感器的共线性,传感器间间距的均匀性,传感器间间距的大小,或者其中一些或全部的组合可能会导致线性相关的转向向量。特别是,我们证明了对于一个m传感器阵列,如果孔径大于[[m-1)/ 2] / spl lambda // 2,或者当孔径至少为[[(m + 1)/ 2] +1)传感器是共线的。

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