基于相位模式激励和ESPRIT的均匀圆形阵列闭式二维角度估计

M. Zoltowski, C. P. Mathews
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引用次数: 20

摘要

UCA-ESPRIT算法在二维到达角估计领域取得了重大进展。它是一种封闭形式的算法,用于与均匀圆形阵列(uca)结合使用,该阵列提供自动配对的源方位角和仰角估计。相比之下,迄今为止用于二维到达角估计的算法需要昂贵的光谱搜索、多维优化问题的迭代解决方案,或者针对多个不同阵列轴对方向余弦估计进行配对的特别方案。UCA-ESPRIT与ESPRIT的根本区别在于,UCA-ESPRIT不是基于位移不变性阵列结构,而是基于相模激励,依赖于贝塞尔函数之间的递归关系。在UCA-ESPRIT的最后阶段,第i个特征值的形式为/spl mu//下标i/=sin /spl theta//下标i/e(j/spl phi//下标i/),其中/spl theta//下标i/和/spl phi//下标i/为第i个源的方位角和仰角。
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Closed-form 2D angle estimation with uniform circular array via phase mode excitation and ESPRIT
The UCA-ESPRIT algorithm represents a significant advance in the area of 2D arrival angle estimation. It is a closed form algorithm for use in conjunction with uniform circular arrays (UCAs) that provides automatically paired source azimuth and elevation angle estimates. In contrast, the algorithms for 2D arrival angle estimation to date have required expensive spectral searches, iterative solutions to multi-dimensional optimization problems, or ad-hoc schemes for pairing direction cosine estimates with respect to each of a number of different array axes. UCA-ESPRIT is fundamentally different from ESPRIT in that it is not based on a displacement invariance array structure but rather is based on phase mode excitation and hinges on a recursive relationship between Bessel functions. In the final stage of UCA-ESPRIT, the ith eigenvalue has the form /spl mu//sub i/=sin /spl theta//sub i/e(j/spl phi//sub i/) where /spl theta//sub i/ and /spl phi//sub i/ are the azimuth and elevation angles of the ith source.<>
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