Low-Complexity Joint 3D Super-Resolution Estimation of Range Velocity and Angle of Multi-Targets Based on FMCW Radar.
Low-Complexity Joint 3D Super-Resolution Estimation of Range Velocity and Angle of Multi-Targets Based on FMCW Radar.
复制标题
DOI：
10.3390/s22176474
复制
发表时间：
2022-08-28
期刊：
影响因子：
3.9
通讯作者：
Zhou, Zhiquan
中科院分区：
文献类型：
--
作者：
Li, Yingchun;Long, Qi;Wu, Zhongjie;Zhou, Zhiquan
为了实现调频连续波（FMCW）雷达系统的距离、速度、方位角和俯仰角的超分辨感知，提出了多目标多维参数联合估计方法。针对均匀线阵FMCW雷达，提出了一种低复杂度的多目标距离、速度和角度联合三维超分辨估计方法。该方法首先在频域中构造FMCW雷达系统模型的降维三维矩阵。其次，建立了降维的三维矩阵，并利用拉格朗日乘子法实现了低复杂度的三级级联一维谱估计。最后，通过数值实验和德州仪器77 GHz FMCW雷达的仿真验证了低复杂度的联合三维超分辨算法，与传统算法相比，该算法具有显著的估计性能。
Multi-dimensional parameters joint estimation of multi-targets is introduced to implement super-resolution sensing in range, velocity, azimuth angle, and elevation angle for frequency-modulated continuous waveform (FMCW) radar systems. In this paper, a low complexity joint 3D super-resolution estimation of range, velocity, and angle of multi-targets is proposed for an FMCW radar with a uniform linear array. The proposed method firstly constructs the size-reduced 3D matrix in the frequency domain for the system model of an FMCW radar system. Secondly, the size-reduced 3D matrix is established, and low complexity three-level cascaded 1D spectrum estimation implemented by applying the Lagrange multiplier method is developed. Finally, the low complexity joint 3D super-resolution algorithms are validated by numerical experiments and with a 77 GHz FMCW radar built by Texas Instruments, with the proposed algorithm achieving significant estimation performance compared to conventional algorithms.
登录
查看更多内容
DOI：
10.3390/s18092831
发表时间：
2018-08-27
期刊：
Sensors (Basel, Switzerland)
影响因子：
--
作者：
Son YS;Sung HK;Heo SW
通讯作者：
Heo SW
DOI：
10.3390/s18041113
发表时间：
2018-04-05
期刊：
Sensors (Basel, Switzerland)
影响因子：
--
作者：
Nam H;Li YC;Choi B;Oh D
通讯作者：
Oh D
影响因子：
4.4
作者：
Wang, HY;Liu, KJR
通讯作者：
Liu, KJR
影响因子：
3.9
作者：
Li, Ying-Chun;Oh, Daegun;Chong, Jong-Wha
通讯作者：
Chong, Jong-Wha
DOI：
10.1109/29.32276
发表时间：
1989-07-01
期刊：
IEEE TRANSACTIONS ON ACOUSTICS SPEECH AND SIGNAL PROCESSING
影响因子：
--
作者：
ROY, R;KAILATH, T
通讯作者：
KAILATH, T