Research on Adaptive Target Tracking Method Based on Millimeter Wave Radar
This paper introduces a target-tracking algorithm based on the millimeter-wave radar,to detect the number and positions of the indoor individuals.The proposed algorithm combines the tradi-tional DBSCAN clustering algorithm and GMM clustering algo-rithm,which can adapt to the closely-distributed targets situation,with better clustering capability.Through experiments,the point cloud data obtained by the millimeter wave radar has been pro-cessed to identify the target with the proposed algorithm.Compared with the traditional DBSCAN algorithm and the GMM algorithm,the recognition result of the fusion algorithm has better robustness and can distinguish effective point from the clouds and clutter,to further accurately locate the indoor target.
DBSCAN clustering GMM clustering Millimeter wave radar Target detection
Lihua Zhu Xuehang Wei Qiwen Zheng Yu Wang
Department of Mechanical Engineering,Nanjing University of Science and Technology,Nanjing,Jiangsu,Ch College of Automation,Nanjing University of Science and Technology,Nanjing,Jiangsu,China
国际会议
2021中国图灵大会(ACM Turing Celebration conference-China 2021
合肥
英文
285-289
2021-07-30（万方平台首次上网日期，不代表论文的发表时间）