Compressive Sensing for Millimeter Wave Antenna Array Diagnosis

Mohammed E. Eltayeb, Tareq Y. Al-Naffouri, Robert W. Heath*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

44 Scopus citations


The radiation pattern of an antenna array depends on the excitation weights and the geometry of the array. Due to wind and atmospheric conditions, outdoor millimeter wave antenna elements are subject to full or partial blockages from a plethora of particles like dirt, salt, ice, and water droplets. Handheld devices are also subject to blockages from random finger placement and/or finger prints. These blockages cause absorption and scattering to the signal incident on the array, modify the array geometry, and distort the far-field radiation pattern of the array. This paper studies the effects of blockages on the far-field radiation pattern of linear arrays and proposes several array diagnosis techniques for millimeter wave antenna arrays. The proposed techniques jointly estimate the locations of the blocked antennas and the induced attenuation and phase-shifts given knowledge of the angles of arrival/departure. Numerical results show that the proposed techniques provide satisfactory results in terms of fault detection with reduced number of measurements (diagnosis time) provided that the number of blockages is small compared to the array size.

Original languageEnglish (US)
Pages (from-to)2708-2721
Number of pages14
JournalIEEE Transactions on Communications
Issue number6
StatePublished - Jun 2018

Bibliographical note

Funding Information:
Manuscript received July 19, 2017; revised October 8, 2017; accepted November 8, 2017. Date of publication January 8, 2018; date of current version June 14, 2018. This research was partially supported by the U.S. Department of Transportation through the Data-Supported Transportation Operations and Planning (D-STOP) Tier 1 University Transportation Center and by the Texas Department of Transportation under Project 0-6877 entitled Communications and Radar-Supported Transportation Operations and Planning (CAR-STOP). The work of Tareq Y. Al-Naffouri is funded by a CRG3 grant ORS#2221 and Award No. OSR-2016-KKI-2899 from the Office of Sponsored Research (OSR) at King Abdullah University of Science and Technology (KAUST), Saudi Arabia. This paper was presented at the 2016 IEEE Global Communications Conference [3]. The associate editor coordinating the review of this paper and approving it for publication was X. Yuan. (Corresponding author: Robert W. Heath.) M. E. Eltayeb is with California State University, Sacramento, CA 95819 USA (e-mail:

Publisher Copyright:
© 1972-2012 IEEE.


  • Antenna arrays
  • compressed sensing
  • fault diagnosis
  • millimeter wave communication

ASJC Scopus subject areas

  • Electrical and Electronic Engineering


Dive into the research topics of 'Compressive Sensing for Millimeter Wave Antenna Array Diagnosis'. Together they form a unique fingerprint.

Cite this