An Improved Scheme for High-Resolution Point Cloud Map Generation Based on FMCW Radar
编号:37 访问权限:仅限参会人 更新:2020-08-05 10:16:59 浏览:566次 口头报告

报告开始:2020年06月09日 14:45(Asia/Shanghai)

报告时间:15min

所在会场:[R] Regular Session [R03] Radar Signal Processing

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摘要
For the frequency modulated continuous wave (FMCW) radar, the angle resolution of the generated point cloud map (PCM) is limited by the number of receiver antennas and the interference of multi-target environments. This paper proposes an improved scheme for high-resolution PCM generation based on a 77 GHz FMCW radar system. The scheme consists of a method to synthesize an equivalent virtual array based on the time-division multiplexing (TDM) multiple-input multiple-output (MIMO) technique and an improved target detection algorithm based on multi-channel fusion. The results show that the proposed scheme could suppress the noise floor and improve the accuracy of target detection by 1.33 times compared to a conventional constant false alarm rate (CFAR) detector in a multi-target environment. Moreover, by applying the proposed scheme, the angle resolution of the PCM generated by the radar system reaches 1.3022 degrees.
关键词
FMCW radar; TDM-MIMO; virtual array; high-resolution; point cloud map (PCM)
报告人
Qiangwen Zheng
Zhejiang University, China

稿件作者
Qiangwen Zheng Zhejiang University, China
Yaping Xie Zhejiang University, China
Lijie Yang Zhejiang Lab, China
Junjie Li Zhejiang University, China
Chunyi Song Zhejiang University, China
Zhiwei Xu Zhejiang University, China
Kai Ding Zhejiang Institute of Standardization, China
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重要日期
  • 会议日期

    06月08日

    2020

    06月11日

    2020

  • 01月12日 2020

    初稿截稿日期

  • 04月15日 2020

    提前注册日期

  • 12月31日 2020

    注册截止日期

主办单位
IEEE Signal Processing Society
承办单位
Zhejiang University
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