A more efficient AOA method for 2D and 3D direction estimation with arbitrary antenna array geometry

M. A. G. Al-Sadoon, N. A. Abduljabbar, N. T. Ali, R. Asif, A. Zweid, H. Alhassan, J. M. Noras, R. A. Abd-Alhameed

Research output: Chapter in Book/Report/Conference proceedingConference contribution

7 Citations (Scopus)


Direction of arrival (DOA) estimation is currently an active research topic in array signal processing applications. Thus, a more efficient method with better accuracy than the current subspace angle of arrival (AOA) methods is proposed in this paper. The proposed method is called subtracting signal subspace (SSS), which exploits the orthogonality between the signal subspace (SS) and the array manifold vector (AMV). A novel approach applied to the pseudospectrum extracts the correct peaks and removes the sidelobes perfectly. The principle working of the proposed algorithm is given and mathematical model derived. The computational burden of the new method is also presented and compared with other methods. The SSS algorithm is implemented with both linear and planar antenna arrays. An intensive Monte Carlo simulation is conducted and compared with other popular AOA methods to verify the effectiveness of the SSS algorithm.

Original languageEnglish
Title of host publicationBroadband Communications, Networks, and Systems - 9th International EAI Conference, Broadnets 2018, Proceedings
EditorsSaud Althunibat, Victor Sucasas, Georgios Mantas
PublisherSpringer-Verlag Berlin Heidelberg
Number of pages12
ISBN (Print)9783030051945
Publication statusPublished - 2019
Event9th International EAI Conference on Broadband Communications, Networks, and Systems, Broadnets 2018 - Faro, Portugal
Duration: 19 Sep 201820 Sep 2018

Publication series

NameLecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST
ISSN (Print)1867-8211


Conference9th International EAI Conference on Broadband Communications, Networks, and Systems, Broadnets 2018


  • Computational burden
  • Direction of arrival
  • Sensor array
  • Signal processing
  • Signal subspace
  • Wireless communication

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