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Uniform non-exhaustive search on sparse reconstruction for direction of arrival estimation

机译:稀疏重建的均匀非穷举搜索估计到达方向

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Direction of arrival estimation (DoA) using sparse reconstruction gives advantage on minimizing the number of required samples. Among available sparse reconstruction schemes, angle sparsity has shown a favorable advantage as it requires fewer samples compared to other schemes. Previous researches on angle sparsity utilized an exhaustive scanning on every possible arrival angles. This technique leads to a problem of large sensing matrix A. The result presented in this paper proves that partial scanning (i.e. non-exhaustive search) also gives similar accurate result. The advantage of this scheme is smaller sensing matrix. In simulation, this scheme requires sensing matrix six times less than the exhaustive search with similar accuracy. Thus, this scheme is potential for practical application of DoA estimation based on sparse reconstruction.
机译:使用稀疏重构的到达方向估计(DoA)可以最大程度地减少所需样本的数量。在可用的稀疏重建方案中,角度稀疏度显示了有利的优势,因为与其他方案相比,它需要更少的样本。以前关于角度稀疏性的研究对每个可能的到达角度都进行了详尽的扫描。这种技术导致了一个大的感测矩阵A的问题。本文提出的结果证明了部分扫描(即非穷举搜索)也能提供相似的准确结果。该方案的优点是较小的感测矩阵。在仿真中,该方案需要的感测矩阵比穷举搜索少六倍,且精度相似。因此,该方案对于基于稀疏重构的DoA估计的实际应用具有潜力。

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