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

LYU Peng; WEI Guohua; CUI Wei

doi:10.1049/cje.2019.01.005

Volume 28 Issue 2

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Article Navigation > Chinese Journal of Electronics > 2019 > 28(2): 344-348

LYU Peng, WEI Guohua, CUI Wei, “Short-Range Multitarget Motion Parameter Estimation Method Based on Hough Transform,” Chinese Journal of Electronics, vol. 28, no. 2, pp. 344-348, 2019, 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,” Chinese Journal of Electronics, vol. 28, no. 2, pp. 344-348, 2019, doi: 10.1049/cje.2019.01.005

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

doi: 10.1049/cje.2019.01.005

1.
School of Information and Electronics, Beijing Institute of Technology, Beijing 100081, China;
2.
Institute of Electronics, Chinese Academy of Sciences, Beijing 100190, China

Funds: This work is supported by the National Natural Science Foundation of China (No.61671059).

More Information

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

Abstract

Abstract

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.
- Clustering,
- Hough transform,
- Multitarget,
- Parameter estimation,
- Short-range

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References(23)

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