Improved Human Detection Algorithm by Indoor W-Band FMCW RADAR using K-means Technique
説明
This paper proposes the improved indoor human detection algorithm from data provided by W-Band FMCW radar by using k-mean technique. The data provided by the radar contain both humans and nun-human objects. To identify non-human objects, the obtained data are filtered by the velocity and RCS of the detected objects. The K-means algorithm is applied to the filtered dataset to estimate the positions of humans. The estimated positions of humans are much closed to the actual ones.
収録刊行物
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- 2021 9th International Electrical Engineering Congress (iEECON)
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2021 9th International Electrical Engineering Congress (iEECON) 571-574, 2021-03-10
IEEE