论文标题
使用交叉偶极和三极阵列的四维DOA和极化估计的研究
Study of Four-Dimensional DOA and Polarisation Estimation with Crossed-dipole and Tripole Arrays
论文作者
论文摘要
电磁（EM）矢量传感器阵列可以跟踪撞击信号的到达的极化和方向（DOA）。对于我们的分析，由于结构的固有限制，对于线性交叉偶极阵列，它只能跟踪一个DOA参数和两个极化参数。对于完整的四维（4-D，2 DOA和2个极化参数）估计，我们可以将线性交叉偶极阵列扩展到平面情况。在本文中，我们没有扩展阵列几何形状，而是用tripoles替换交叉二极管，然后构建一个线性的三翼阵列。事实证明，这种结构可以在通常的一般情况下有效地估算2-D DOA和2-D极化信息，并且开发了基于尺寸的音乐算法，因此可以将4-D估计问题简化为两个独立的2D估计问题，从而大大降低了解决方案的计算复杂性。 CRAMR-RAO结合（CRB）也被得出作为算法性能的参考。平面交叉偶极阵列与线性三翼阵列之间的简短比较终于进行了，表明尽管平面结构的性能更好，但它以增加物理大小的成本实现。
Electromagnetic (EM) vector sensor arrays can track both the polarisation and direction of arrival (DOA) of the impinging signals. For linear crossed-dipole arrays, as shown by our analysis, due to inherent limitation of the structure, it can only track one DOA parameter and two polarisation parameters. For full four-dimensional (4-D, 2 DOA and 2 polarization parameters) estimation, we could extend the linear crossed-dipole array to the planar case. In this paper, instead of extending the array geometry, we replace the crossed-dipoles by tripoles and construct a linear tripole array. It is proved that such a structure can estimate the 2-D DOA and 2-D polarisation information effectively in general and a dimension-reduction based MUSIC algorithm is developed so that the 4-D estimation problem can be simplified into two separate 2-D estimation problems, significantly reducing the computational complexity of the solution. The Cramr-Rao Bound (CRB) is also derived as a reference for algorithm performance. A brief comparison between the planar crossed-dipole array and the linear tripole array is performed at last, showing that although the planar structure has a better performance, it is achieved at the cost of increased physical size.
