A fast algorithm for 2D DOA estimation using an omnidirectional sensor array

Weike Nie, Kaijie Xu, Dazheng Feng, Chase Qishi Wu, Aiqin Hou, Xiaoyan Yin

Research output: Contribution to journalArticlepeer-review

10 Scopus citations

Abstract

The traditional 2D MUSIC algorithm fixes the azimuth or the elevation, and searches for the other without considering the directions of sources. A spectrum peak diffusion effect phenomenon is observed and may be utilized to detect the approximate directions of sources. Accordingly, a fast 2D MUSIC algorithm, which performs azimuth and elevation simultaneous searches (henceforth referred to as AESS) based on only three rounds of search is proposed. Firstly, AESS searches along a circle to detect the approximate source directions. Then, a subsequent search is launched along several straight lines based on these approximate directions. Finally, the 2D Direction of Arrival (DOA) of each source is derived by searching on several small concentric circles. Unlike the 2D MUSIC algorithm, AESS does not fix any azimuth and elevation parameters. Instead, the adjacent point of each search possesses different azimuth and elevation, i.e., azimuth and elevation are simultaneously searched to ensure that the search path is minimized, and hence the total spectral search over the angular field of view is avoided. Simulation results demonstrate the performance characters of the proposed AESS over some existing algorithms.

Original languageEnglish (US)
Article number515
JournalSensors (Switzerland)
Volume17
Issue number3
DOIs
StatePublished - Mar 4 2017

All Science Journal Classification (ASJC) codes

  • Analytical Chemistry
  • Biochemistry
  • Atomic and Molecular Physics, and Optics
  • Instrumentation
  • Electrical and Electronic Engineering

Keywords

  • 2D MUSIC
  • Direction of Arrival estimation
  • Fast algorithm
  • Sensor array
  • Spectrum peak diffusion effect

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