3D moving target tracking with measurement fusion of TDoA/FDoA/AoA

Hyeondeog Seo, Hyowon Kim, Jeongwan Kang, Incheol Jeong, Woogeun Ahn, Sunwoo Kim

Research output: Contribution to journalArticle

4 Scopus citations

Abstract

In this paper, we investigate the tracking of the 3D moving target when multiple measurements are available. We propose a particle filter-based 3D target tracking algorithm with measurement of time difference of arrival (TDoA), frequency difference of arrival (FDoA), and angle of arrival (AoA). We analyze the performance of the proposed scheme by MATLAB simulations and show the efficiency of the particle filter for 3D moving target tracking with various types of measurements.

Original languageEnglish
Pages (from-to)115-119
Number of pages5
JournalICT Express
Volume5
Issue number2
DOIs
StatePublished - 2019 Jun 1

Keywords

  • 3D mobility tracking
  • AoA
  • FDoA
  • Particle filter
  • TDoA

Fingerprint Dive into the research topics of '3D moving target tracking with measurement fusion of TDoA/FDoA/AoA'. Together they form a unique fingerprint.

  • Cite this