LIU Hai-bo, LIU Yang, WANG E. Feature-Aided Tracking Association Algorithm for High Resolution RadarJ. Transactions of Beijing institute of Technology, 2018, 38(9): 972-976,984. DOI: 10.15918/j.tbit1001-0645.2018.09.016
Citation: LIU Hai-bo, LIU Yang, WANG E. Feature-Aided Tracking Association Algorithm for High Resolution RadarJ. Transactions of Beijing institute of Technology, 2018, 38(9): 972-976,984. DOI: 10.15918/j.tbit1001-0645.2018.09.016

Feature-Aided Tracking Association Algorithm for High Resolution Radar

  • A tracking association algorithm based on points distribution feature was proposed to solve adjacent targets tracking problem of high range resolution radar. Combining the state information of the target with the distribution feature information extracted by standard deviational ellipse, the algorithm was designed to solve the problem of false tracking association of adjacent targets. The experimental result shows that the proposed algorithm can improve association accuracy and track quality.
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