Closed-form eigenstructure-based direction finding using arbitrary but identical subarrays on a sparse uniform Cartesian array grid
Closed-form eigenstructure-based direction finding using arbitrary but identical subarrays on a sparse uniform Cartesian array grid
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DOI：
10.1109/78.852001
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发表时间：
2000-08-01
影响因子：
5.4
通讯作者：
Wong, KT
中科院分区：
文献类型：
--
作者：
Zoltowski, MD;Wong, KT
由于空间奈奎斯特采样定理，稀疏均匀笛卡尔网格阵列在其笛卡尔方向余弦估计中遭受循环模糊。所提出的基于 MUSIC 或基于 MODE 的算法改进并推广了以前的消歧方案，这些方案用相同的子阵列填充薄阵列网格，例如电磁矢量传感器、水下矢量水听器或半波长间隔子阵列。
A sparse uniform Cartesian-grid array suffers cyclic ambiguity in its Cartesian direction-cosine estimates due to the spatial Nyquist sampling theorem. The proposed MUSIC-based or MODE-based algorithm improves and generalizes previous disambiguation schemes that populate the thin array grid with identical subarrays-such as electromagnetic vector sensors, under water acoustic vector hydrophones, or half-wavelength spaced subarrays.