Electronics and Electrical Engineering and Control

A modified Hough transform TBD algorithm based on point set merging

  • WANG Guohong ,
  • LI Lin ,
  • YU Hongbo
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  • Institute of Information Fusion, Naval Aeronautical and Astronautical University, Yantai 264001, China

Received date: 2016-01-05

  Revised date: 2016-03-09

  Online published: 2016-03-18

Supported by

National Natural Science Foundation of China (61372027, 61501489, 61671462)

Abstract

On the condition of low SNR, track-before-detect (TBD) based on Hough transform (HT) has been proposed as a means for target detection in strong clutter environment. For the problem of too many possible tracks from one target and clutter points mix in the target track after Hough transform, a modified Hough transform track-before-detect algorithm based on the maximum energy point and point set merging is proposed in this paper. The algorithm can be used to effectively realize point matching, point eliminates and track initiation by using the prior information of target velocity, and temporal and energy information of the points. The simulation results show that the weak target under the background of Gaussian noise can be effectively detected according to the algorithm proposed, and the target detection probability is still high when the target number, clutter density and SNR change.

Cite this article

WANG Guohong , LI Lin , YU Hongbo . A modified Hough transform TBD algorithm based on point set merging[J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2017 , 38(1) : 320009 -320009 . DOI: 10.7527/S1000-6893.2016.0068

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