Design and analysis of compressive antenna arrays for direction of arrival estimation
Design and analysis of compressive antenna arrays for direction of arrival estimation
复制标题
DOI：
10.1016/j.sigpro.2017.03.013
复制
发表时间：
2017-09-01
影响因子：
4.4
通讯作者：
Thomae, Reiner S.
中科院分区：
文献类型：
--
作者：
Ibrahim, Mohamed;Ramireddy, Venkatesh;Thomae, Reiner S.
在本文中，我们研究了用于窄带到达方向（DOA）估计的压缩天线阵列的设计，旨在通过将天线输出线性组合到较少数量的接收器通道来提供更大的孔径，降低硬件复杂性并允许可重新配置。我们提出了这种压缩阵列的基本接收器架构，并介绍了一个通用系统模型，其中包括硬件实现的不同选项。然后我们讨论了执行接收器通道减少的模拟组合网络的设计，并提出了两种设计方法。第一种方法基于空间相关函数，这是一种低复杂度方案，在某些情况下允许封闭式解。第二种方法基于最小化 Cramer-Rao Bound (CRB)，并通过约束将错误检测路径的概率限制在预先指定的水平。我们的数值模拟证明了所提出的优化压缩阵列与相同复杂度的稀疏阵列以及具有随机选择的组合内核的压缩阵列相比的优越性。 (C) 2017 Elsevier B.V. 保留所有权利。
In this paper we investigate the design of compressive antenna arrays for narrow-band direction of arrival (DOA) estimation that aim to provide a larger aperture with a reduced hardware complexity and allowing reconfigurability, by a linear combination of the antenna outputs to a lower number of receiver channels. We present a basic receiver architecture of such a compressive array and introduce a generic system model that includes different options for the hardware implementation. We then discuss the design of the analog combining network that performs the receiver channel reduction, and propose two design approaches. The first approach is based on the spatial correlation function which is a low-complexity scheme that in certain cases admits a closed-form solution. The second approach is based on minimizing the Cramer-Rao Bound (CRB) with the constraint to limit the probability of false detection of paths to a pre-specified level. Our numerical simulations demonstrate the superiority of the proposed optimized compressive arrays compared to the sparse arrays of the same complexity and to compressive arrays with randomly chosen combining kernels. (C) 2017 Elsevier B.V. All rights reserved.