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一种基于新型 DFT 的 DOA 估计方法,通过使用简单乘法对 FMCW 雷达进行虚拟阵扩展。

A Novel DFT-Based DOA Estimation by a Virtual Array Extension Using Simple Multiplications for FMCW Radar.

机构信息

Advanced Radar Technology Laboratory (ART Lab.), Daegu Gyeongbuk Institute of Science and Technology (DGIST), Daegu 42988, Korea.

出版信息

Sensors (Basel). 2018 May 14;18(5):1560. doi: 10.3390/s18051560.

DOI:10.3390/s18051560
PMID:29758016
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5982663/
Abstract

We propose a novel discrete Fourier transform (DFT)-based direction of arrival (DOA) estimation by a virtual array extension using simple multiplications for frequency modulated continuous wave (FMCW) radar. DFT-based DOA estimation is usually employed in radar systems because it provides the advantage of low complexity for real-time signal processing. In order to enhance the resolution of DOA estimation or to decrease the missing detection probability, it is essential to have a considerable number of channel signals. However, due to constraints of space and cost, it is not easy to increase the number of channel signals. In order to address this issue, we increase the number of effective channel signals by generating virtual channel signals using simple multiplications of the given channel signals. The increase in channel signals allows the proposed scheme to detect DOA more accurately than the conventional scheme while using the same number of channel signals. Simulation results show that the proposed scheme achieves improved DOA estimation compared to the conventional DFT-based method. Furthermore, the effectiveness of the proposed scheme in a practical environment is verified through the experiment.

摘要

我们提出了一种新的基于离散傅里叶变换(DFT)的到达方向(DOA)估计方法,通过使用简单乘法的虚拟阵列扩展来实现调频连续波(FMCW)雷达。基于 DFT 的 DOA 估计通常用于雷达系统,因为它具有实时信号处理的低复杂度优势。为了提高 DOA 估计的分辨率或降低漏检概率,需要有相当数量的信道信号。然而,由于空间和成本的限制,增加信道信号的数量并不容易。为了解决这个问题,我们通过对给定的信道信号进行简单乘法生成虚拟信道信号,从而增加有效的信道信号数量。与传统方案相比,增加信道信号数量使得所提出的方案能够在使用相同数量的信道信号的情况下更准确地检测 DOA。仿真结果表明,与传统的基于 DFT 的方法相比,所提出的方案实现了改进的 DOA 估计。此外,通过实验验证了所提出的方案在实际环境中的有效性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5d38/5982663/2247a5b2f46d/sensors-18-01560-g018.jpg
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