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Sparse cylindrical sensor network with beamforming and DoA estimation

机译:具有波束形成和DOA估计的稀疏圆柱传感器网络

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In this paper, different sensor network deployment schemes are studied based on the structures of co-prime cylindrical array, nested cylindrical array and sparse cylindrical array. According to the characteristic of cylindrical array, it can be seen as a linear array whose elements are the identical circular arrays, which motivates us to apply such structures for sensor network deployment. In our sensor networks with circular-array deployment, the co-prime linear array and nested linear array could be combined with circular arrays. Moreover, in order to achieve better performance in direction-of-arrival (DoA) estimation with as few elements as possible, the two-dimensional nested array is extended to the cylindrical array and through augmented matrix MUSIC approach, multiple sources in the range could be successfully detected based on such deployed sensor networks. Simulation results show that the new proposed sparse cylindrical arrays-based sensor networks can not only reduce the number of sensors, but also improve the resolution in comparison with an equal length uniform cylindrical array-based sensor networks.
机译:在本文中,基于共 - 主要圆柱形阵列的结构,嵌套圆柱形阵列和稀疏圆柱形阵列的结构研究了不同的传感器网络展开方案。根据圆柱形阵列的特性,可以看出,其元件是相同的圆形阵列的线性阵列,其使我们施加用于传感器网络部署的这种结构。在具有圆形阵列部署的传感器网络中,共用线性阵列和嵌套线性阵列可以与圆形阵列组合。此外,为了在尽可能少的元件的到达方向(DOA)估计方向上实现更好的性能,二维嵌套阵列扩展到圆柱形阵列,并通过增强矩阵音乐方法,范围内的多个源基于此部署的传感器网络成功检测。仿真结果表明,新的建议稀疏圆柱形阵列的传感器网络不仅可以减少传感器的数量,而且还与基于相等长度的均匀圆柱形阵列的传感器网络相比提高分辨率。

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