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On error magnitudes under spatial aliasing of wideband arrays with incoherent combining

机译:关于宽带阵列的误差幅度,相连结合

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This paper investigates the error magnitudes when incoherent combining is performed under ambiguity. One obvious solution to eliminate the ambiguities in image processing or array processing is to use kernel density estimates such as histogram. This correspondence in particular focuses on the spatial aliasing in arrays and derives an approximate error magnitude which although is not strictly a bound but provides good information regarding the nature of the aliasing error in a more quantitative format.
机译:本文在歧义下执行非相干组合时研究了误差幅度。一个明显的解决方案来消除图像处理或阵列处理中的模糊性是使用诸如直方图的内核密度估计。这种对应关系尤其侧重于阵列中的空间混叠,并且源于近似的误差幅度,尽管不是严格的界限,但是提供了关于别名误差的性质的良好信息以更多样性的格式。

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