Skip to main navigation Skip to search Skip to main content

New method of scatterers association and 3D reconstruction based on multi-hypothesis tracking

  • Yanxian Bi
  • , Shaoming Wei
  • , Jun Wang*
  • , Yaotian Zhang
  • , Zhongsheng Sun
  • , Changshun Yuan
  • *Corresponding author for this work
  • Beihang University

Research output: Contribution to journalArticlepeer-review

Abstract

Aiming at the problems of associating radar target scattering centers from the unknown perspective of one-dimensional range, in order to associate the radar target scattering centers at unknown radar line of sight, a new scatterers association method based on auxiliary information of scatterers intensity using multi-hypothesis tracking (MHT)is proposed. After using the scattering centers intensity information to associate the scattering centers, the target was 3D reconstructed by sequential factorization method. The sequential factorization method can effectively reduce the burden of the data storage and increase the real-time ability. The simulation results verify that the proposed algorithm is simple and very stable for the complex situations. This method can effectively eliminate the false scattering points derived from the process of target moving in the association process of hypothetical update and management, which is applicable to the target in multiple poses multiple scattering correlation and 3D reconstruction. This method has a good robustness for 3D reconstruction of the target under complex spatial motion.

Original languageEnglish
Pages (from-to)1219-1227
Number of pages9
JournalBeijing Hangkong Hangtian Daxue Xuebao/Journal of Beijing University of Aeronautics and Astronautics
Volume42
Issue number6
DOIs
StatePublished - 1 Jun 2016

Keywords

  • 3D reconstruction
  • Amplitude information
  • Multi-hypothesis tracking (MHT)
  • Scatterers association
  • Sequential factorization

Fingerprint

Dive into the research topics of 'New method of scatterers association and 3D reconstruction based on multi-hypothesis tracking'. Together they form a unique fingerprint.

Cite this