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Two-Dimensional Sparse Arrays with Hole-Free Coarray and Reduced Mutual Coupling

机译:具有无孔共阵列和减少互耦合的二维稀疏阵列

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摘要

Two-dimensional sparse arrays with hole-free difference coarrays, like billboard arrays and open box arrays, can identify O(N^2) uncorrelated source directions (DOA) using N sensors. These arrays contain some dense ULA segments, leading to many sensor pairs separated by λ/2. The DOA estimation performance often suffers degradation due to mutual coupling between such closely-spaced sensor pairs. This paper introduces a new 2D array called the half open box array. For a given N, this array has the same hole-free coarray as an open box array. At the same time, the number of sensor pairs with small separation is significantly reduced.
机译:具有空洞差异协数组的二维稀疏数组(如广告牌数组和开箱数组)可以使用N个传感器识别O(N ^ 2)个不相关的源方向(DOA)。这些阵列包含一些密集的ULA段,导致许多传感器对被λ/ 2隔开。由于这种紧密间隔的传感器对之间的相互耦合,DOA估计性能通常会下降。本文介绍了一种称为半开盒阵列的新型2D阵列。对于给定的N,此数组具有与开放框数组相同的无孔共数组。同时,间隔很小的传感器对的数量大大减少。

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