首页|Short-Range Multitarget Motion Parameter Estimation Method Based on Hough Transform

Short-Range Multitarget Motion Parameter Estimation Method Based on Hough Transform

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This study proposes a novel short-range multitarget motion parameter estimation method based on Hough transform. The proposed method can be used for multitarget detection, motion parameter estimation, and data association. In our proposed method, the measured radial distance and Doppler frequency versus time data is mapped to the motion parameter space by Hough transform. The motion parameter space data is binarized to determine the number of targets. The unsupervised nearest neighbor clustering technique is used to determine the search space of targets. The maximum value in each search space is estimated as the motion parameter of the corresponding target. Simulation results show that the proposed method has higher parameter estimation accuracy than that of conventional methods.

ClusteringHough transformMultitar-getParameter estimationShort-range

LYU Peng、WEI Guohua、CUI Wei

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School of Information and Electronics, Beijing Institute of Technology, Beijing 100081, China

Institute of Electronics, Chinese Academy of Sciences, Beijing 100190, China

This work is supported by the National Natural Science Foundation of China

61671059

2019

中国电子杂志(英文版)

中国电子杂志(英文版)

CSTPCDCSCDSCIEI
ISSN:1022-4653
年,卷(期):2019.28(2)
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