An Implementation Scheme of Range and Angular Measurements for FMCW MIMO Radar via Sparse Spectrum Fitting
An Implementation Scheme of Range and Angular Measurements for FMCW MIMO Radar via Sparse Spectrum Fitting
复制标题
FMCW MIMO雷达稀疏频谱拟合测距和角度测量的实现方案
DOI：
10.3390/electronics9030389
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发表时间：
2020-03-01
期刊：
影响因子：
2.9
通讯作者：
Yang, Yongqin
中科院分区：
文献类型：
--
作者：
Huang, Lidong;Wang, Xianpeng;Yang, Yongqin
本文提出的工作是关于实现调频连续波（FMCW）多输入多输出（MIMO）定位雷达和稀疏谱拟合（SpSF）算法的距离和角度测量。首先，我们设计了一种工作在S波段的低功耗相干FMCW MIMO雷达系统，该系统由四个发射天线和四个接收天线组成，具有扩展其虚拟孔径的能力，因此，该系统可以实现比传统相控阵雷达更高的分辨率。在此基础上，设计了FMCW MIMO雷达目标距离和角度估计的SpSF算法。由于SpSF算法可以利用信号的空间稀疏性，因此将SpSF算法应用于所设计的MIMO雷达系统中可以获得比多信号分类（MUSIC）和Capon算法更好的估计性能，特别是在小快拍和低信噪比的情况下。仿真和实验结果证明了所设计的MIMO雷达的有效性和算法的上级性能。
The work presented in this paper is about implementing a frequency-modulated continuous wave (FMCW) multiple-input multiple-output (MIMO) positioning radar and a sparse spectrum fitting (SpSF) algorithm for range and angular measurements. First, we designed a coherent FMCW MIMO radar system working in the S-band with low power consumption that consists of four transmitter and four receiver antennas and has the ability to extend its virtual aperture; thus, this system can achieve a higher resolution than conventional phased array radars. Then, the SpSF algorithm was designed for estimating the distance and angle of the targets in the FMCW MIMO radar. Due to the fact that the SpSF algorithm can exploit the spatial sparsity diversity of a signal, the SpSF algorithm that is applied in the designed MIMO radar system can achieve a better estimation performance than the multiple signal classification (MUSIC) and Capon algorithms, especially in the context of small snapshots and low signal-to-noise ratios (SNRs). The simulated and experimental results are used to prove the effectiveness of the designed MIMO radar and the superior performance of the algorithm.