Direction Finding Using Compressive One-Bit Measurements

Direction Finding Using Compressive One-Bit Measurements
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DOI：
10.1109/access.2018.2857926
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发表时间：
2018-07
期刊：
IEEE Access
影响因子：
3.9
通讯作者：
Tao Chen;Muran Guo;Xiangsong Huang
Tao Chen;Muran Guo;Xiangsong Huang
中科院分区：
计算机科学3区
文献类型：
--
作者：
Tao Chen;Muran Guo;Xiangsong Huang

文献摘要

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在本文中，我们提出了一种新的到达方向（DOA）估计方案，它被命名为压缩一比特测量方案。在所提出的方案中，一位量化技术被用来减少系统成本的模数转换器（ADC）。然而，一比特量化导致严重的信息丢失，从而损害估计精度。受压缩传感理论的启发，采用压缩测量方法扩展接收阵列孔径。具体而言，压缩测量允许使用比前端电路链的数量更多的传感器。因此，获得了附加信息，并且可以从系统结构层改善估计性能。注意，通过引入压缩操作，归一化协方差矩阵与原始协方差矩阵之间的关系不同于传统的一比特量化结构。因此，两种DOA估计算法，即，提出了基于迭代压缩测量的多信号分类（CM-MUSIC）和基于压缩感知（CS）的算法。迭代CM-MUSIC可以实现高分辨率的估计，而基于CS的算法可以解决更多的源比传感器。数值仿真验证了该方案的有效性。
In this paper, we propose a novel direction-of-arrival (DOA) estimation scheme, which is named the compressive one-bit measurement scheme. In the proposed scheme, the one-bit quantization technique is used to reduce the system cost in terms of the analog-to-digital converter (ADC). However, the one-bit quantization leads to a serious information loss, thus compromising the estimation accuracy. Inspired by the compressive sensing theory, the compressive measurement method is used to expand the receive array aperture. To be specific, the compressive measurement allows more sensors than the number of front-end circuit chains to be used. Thus, the additional information is obtained, and the estimation performance can be improved from the system structure layer. It is noted that by introducing the compression operation, the relationship between the normalized and the original covariance matrix is different to the conventional one-bit quantization structure. Thus, two DOA estimation algorithms, i.e., the iterative compressive measurement-based multiple signal classification (CM-MUSIC) and the compressive sensing (CS)-based algorithm, are proposed for the compressive one-bit measurement scheme. The iterative CM-MUSIC can achieve a high-resolution estimation, whereas the CS-based algorithm can resolve more sources than the sensors. Numerical simulations validate the effectiveness of the proposed scheme.