Two-dimensional direction of arrival estimation method for a mixture of noncoherent and coherent narrowband signals

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Scopus citations

Abstract

In this paper, we investigate the two-dimensional (2D) direction-of- arrivals (DOAs) estimation of a mixture of noncoherent (including uncorrelated and correlated) and coherent narrowband signals impinging on a simple structured planar array consist of two parallel uniform linear arrays (ULAs), and a new oblique projection based method is proposed for estimating the DOAs of these mixed incident signals, where the computationally intensive eigendecomposition is avoided. In the proposed method, the 2-D DOAs of noncoherent and coherent signals are estimated separately, while the difficulties such as the separation of the noncoherent and coherent signals and the automatic pairing of the azimuth and elevation angles of same signal are overcame. Furthermore for overcoming the 'saturation' problem encountered in estimation of coherent signals, an iterative alternate scheme is presented. The theoretical analysis and simulation results confirm the effectiveness of proposed method.

Original languageEnglish
Title of host publication2013 IEEE 14th Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2013
Pages440-444
Number of pages5
DOIs
StatePublished - 2013
Event2013 IEEE 14th Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2013 - Darmstadt, Germany
Duration: 16 Jun 201319 Jun 2013

Publication series

NameIEEE Workshop on Signal Processing Advances in Wireless Communications, SPAWC

Conference

Conference2013 IEEE 14th Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2013
Country/TerritoryGermany
CityDarmstadt
Period16/06/1319/06/13

Keywords

  • DOA estimation
  • eigende-composition
  • oblique projection
  • uniform linear array

Fingerprint

Dive into the research topics of 'Two-dimensional direction of arrival estimation method for a mixture of noncoherent and coherent narrowband signals'. Together they form a unique fingerprint.

Cite this