Diffraction Signal-Based Human Recognition in Non-Line-of-Sight (NLOS) Situation for Millimeter Wave Radar

Diffraction Signal-Based Human Recognition in Non-Line-of-Sight (NLOS) Situation for Millimeter Wave Radar

In driver assistance or self-driving systems, millimeter-wave radar is an indispensable sensing tool because of its applicability to all weather conditions or non-line-of-sight (NLOS) sensing.This study focuses on a human recognition issue in the NLOS scenario by applying the support vector machine...

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Bibliographic Details
Main Authors: Jianghaomiao He, Shota Terashima, Hideyuki Yamada, Shouhei Kidera
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Automotive radar
diffraction effect
millimeter-wave (MMW) radar
non-line-of-sight (NLOS) detection
pedestrian detection
radar beamforming
Online Access:https://ieeexplore.ieee.org/document/9405398/

Internet

https://ieeexplore.ieee.org/document/9405398/

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