LYU Peng, WEI Guohua, CUI Wei. Short-Range Multitarget Motion Parameter Estimation Method Based on Hough Transform[J]. Chinese Journal of Electronics, 2019, 28(2): 344-348. doi: 10.1049/cje.2019.01.005
Citation: LYU Peng, WEI Guohua, CUI Wei. Short-Range Multitarget Motion Parameter Estimation Method Based on Hough Transform[J]. Chinese Journal of Electronics, 2019, 28(2): 344-348. doi: 10.1049/cje.2019.01.005

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

doi: 10.1049/cje.2019.01.005
Funds:  This work is supported by the National Natural Science Foundation of China (No.61671059).
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  • Corresponding author: WEI Guohua (corresponding author) was born in 1977. He received the B.E. degree in optoelectronics in 1995 from Harbin Engineering University and Ph.D. degree in signal and information processing in 2004 from Beijing Institute of Technology. He is now an associate professor in Beijing Institute of Technology. His research interests are mainly in signal processing and their various applications in electronic systems. (Email:ghwei@bit.edu.cn)
  • Received Date: 2018-03-05
  • Rev Recd Date: 2018-04-26
  • Publish Date: 2019-03-10
  • 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.
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