Open AccessShort‐Range Multitarget Motion Parameter Estimation Method Based on Hough Transform
Author(s) -
Lyu Peng,
Wei Guohua,
Cui Wei
Publication year - 2019
Publication title -
chinese journal of electronics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.267
H-Index - 25
eISSN - 2075-5597
pISSN - 1022-4653
DOI - 10.1049/cje.2019.01.005
Subject(s) - hough transform , range (aeronautics) , computer science , artificial intelligence , computer vision , motion (physics) , mathematics , image (mathematics) , materials science , composite material
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.