3D target localization of modified 3D MUSIC for a triple-channel K-band radar

Ying Chun Li, Byunggil Choi, Jong Wha Chong, Daegun Oh

Research output: Contribution to journalArticlepeer-review

17 Scopus citations

Abstract

In this paper, a modified 3D multiple signal classification (MUSIC) algorithm is proposed for joint estimation of range, azimuth, and elevation angles of K-band radar with a small 2 × 2 horn antenna array. Three channels of the 2 × 2 horn antenna array are utilized as receiving channels, and the other one is a transmitting antenna. The proposed modified 3D MUSIC is designed to make use of a stacked autocorrelation matrix, whose element matrices are related to each other in the spatial domain. An augmented 2D steering vector based on the stacked autocorrelation matrix is proposed for the modified 3D MUSIC, instead of the conventional 3D steering vector. The effectiveness of the proposed modified 3D MUSIC is verified through implementation with a K-band frequency-modulated continuous-wave (FMCW) radar with the 2 × 2 horn antenna array through a variety of experiments in a chamber.

Original languageEnglish
Article number1634
JournalSensors
Volume18
Issue number5
DOIs
StatePublished - 20 May 2018

Bibliographical note

Publisher Copyright:
© 2018 by the authors. Licensee MDPI, Basel, Switzerland.

Keywords

  • 3D estimation
  • 3D localization
  • 3D shift invariant
  • MUSIC
  • Triple channel

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