4.7 Article

A Novel Angle Estimation for mmWave FMCW Radars Using Machine Learning

期刊

IEEE SENSORS JOURNAL
卷 21, 期 8, 页码 9833-9843

出版社

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/JSEN.2021.3058268

关键词

Radar; Radar antennas; Estimation; Azimuth; Chirp; Sensors; Machine learning; Autonomous systems; azimuth angle; elevation angle; enhanced field of view; FMCW radar; machine learning; mmWave radar; root mean square error

资金

  1. Indo-Norwegian Collaboration in Autonomous Cyber-Physical Systems (INCAPS) of the International Partnerships for Excellent Education, Research and Innovation (INTPART) Program [287918]
  2. Low-Altitude UAV Communication and Tracking (LUCAT) of the IKTPLUSS Program from the Research Council of Norway [280835]

向作者/读者索取更多资源

This article presents a novel machine learning based angle estimation and field of view enhancement techniques for mmWave FMCW radars operating in the frequency range of 77 - 81 GHz. The orientation of antenna elements is utilized to enhance both azimuth and elevation FoV. With the proposed angle estimation technique, a RMSE of 2.56 degrees is achieved for rotating radars, making these techniques highly useful for applications such as ground station traffic monitoring and control systems.
In this article, we present a novel machine learning based angle estimation and field of view (FoV) enhancement techniques for mmWave FMCW radars operating in the frequency range of 77 - 81 GHz. Field of view is enhanced in both azimuth and elevation. The Elevation FoV enhancement is achieved by keeping the orientation of antenna elements in elevation. In this orientation, radar focuses the beam in vertical direction there by enhancing the elevation FoV. An Azimuth FoV enhancement is achieved by mechanically rotating the radar horizontally, which has antenna elements in the elevation. With the proposed angle estimation technique for such rotating radars, root mean square error (RMSE) of 2.56 degrees is achieved. These proposed techniques will be highly useful for several applications in cost-effective and reliable autonomous systems such as ground station traffic monitoring and control systems for both on ground and aerial vehicles.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据