Direction of arrival estimation based on support vector regression: Experimental validation and comparison with MUSIC

A. Randazzo, M. A. Abou-Khousa, M. Pastorino, R. Zoughi

Research output: Contribution to journalArticlepeer-review

81 Scopus citations

Abstract

In this letter, the problem of estimating the directions of arrival (DOAs) of coherent electromagnetic waves impinging upon a uniform linear array (ULA) is considered. In particular, an efficient DOA estimation approach based on the support vector regression is assessed using experimental measurements. Moreover, the obtained results are compared with those yielded by the multiple signal classification (MUSIC) algorithm.

Original languageBritish English
Article number903491
Pages (from-to)379-382
Number of pages4
JournalIEEE Antennas and Wireless Propagation Letters
Volume6
DOIs
StatePublished - 2007

Keywords

  • Directions of arrival (doas)
  • Support vector machines (svms)/regression
  • Uniform linear array (ula)

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