Impaired Fractal Based Sub-Array Diagnosis

P. Raiguru, M. Sahani, S. K. Rout, D. C. Panda, R. Mishra
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Abstract

Sparse array has attracted a lot of attentions because of its higher DOF $O(N^{2})$ with only few physical elements ($N$). It has this property by imposing the difference co-array, which is defined as the difference between elements locations. However, empirically, the co-array of sparse arrays structure is vulnerable to impaired elements and reliability of sparse arrays is an open topic for investigation. In this context the present work examines fractal based sub-array DOA estimator. Broadly speaking, robustness is analyzed by exploiting element essentiality, fragility and normalized DCA size. Furthermore, the paper compares the robustness and size of difference co-array configurations of fractal based sub array with different existing sparse arrays. From the numerical examples, it is investigated that for the fixed $N$ elements, increase of difference co-array size typically cause in less robustness to element failure.
基于受损分形的子阵列诊断
稀疏阵列以其具有较高的自由度$O(N^{2})$而只需要较少的物理元素$N$而受到了广泛的关注。它通过施加差异共阵(difference co-array)来具有这种特性,这被定义为元素位置之间的差异。然而,从经验上看,稀疏阵列结构的共阵容易受到受损元素的影响,稀疏阵列的可靠性是一个有待研究的开放性课题。在这种情况下,本工作研究了基于分形的子阵列DOA估计。一般来说,鲁棒性是通过利用元素的重要性、脆弱性和归一化DCA大小来分析的。此外,本文还比较了分形子阵与现有不同稀疏阵的不同共阵构型的鲁棒性和大小。通过数值算例研究了对于固定$N$单元,差分共阵大小的增大通常会导致单元失效时鲁棒性降低。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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