基于LWA的MIMO OFDM毫米波系统高分辨率DoA估计

R. S. Zakariyya, Jae-Neung Lee, M. U. F. Qaisar, Umar J. Mohammed, Qingfeng Zhang
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引用次数: 0

摘要

本文提出了一种多输入多输出(MIMO)混合毫米波(mmWave)系统的高分辨率到达方向(DoA)估计算法,该算法采用带有接收波束漏波天线(LWA)的基站(BS)。在该方案中,LWA同时扫描其波束,在不同的扫描角度独立估计每个用户的DoA。该算法采用高分辨率多信号分类(MUSIC)算法,利用LWA扫描特征和SVD技术生成频谱,并推导出Cramer-Rao下界(CRLB),提高鲁棒性。我们提供了一个软件定义无线电(SDR)实现所提出的方案。最后,仿真结果验证了该算法优于其他线阵天线的DoA算法。此外,在中等信噪比(SNR)下,均方根误差(RMSE)表现出接近CLRB的良好性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
High Resolution DoA Estimation Using LWA for MIMO OFDM Millimeter-Wave Systems
In this work, a high resolution direction of arrival (DoA) estimation algorithm is proposed for multiple-input multiple-output (MIMO) hybrid millimeter wave (mmWave) systems by employing the base station (BS) with a received beam leaky-wave antenna (LWA). In this scheme, the LWA simultaneously scan its beam to estimate the DoA of each user independently at different scanning angles. The proposed algorithm employs a high-resolution multiple signal classification (MUSIC) algorithm by applying the LWA scanning features and SVD technique to generate the spectrum and derive the Cramer–Rao lower bounds (CRLB) to improve the robustness. We provide a software define radio (SDR) implementation of the proposed scheme. Finally, the simulation results ensures that the proposed DoA algorithm performs efficiently over other DoA with linear array antenna. In addition, the root mean square error (RMSE) shows good performance close approach to CLRB at a modrate signal-to-noise ratio (SNR).
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