SINGLE-SNAPSHOT DOA ESTIMATION VIA WEIGHTED HANKEL-STRUCTURED MATRIX COMPLETION

Mohammad Bokaei, Saeed Razavikia, Arash Amini, Stefano Rini*

*Corresponding author for this work

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

2 Scopus citations

Abstract

In this paper, we consider the problem of estimating direction of arrivals (DOA) using a single snapshot of sparse linear array (SLA); the employed SLA is a sampled version of a uniform linear array (ULA). For the estimation task, we propose a two-step algorithm: (i) we first interpolate for the missing samples of the SLA to form a complete ULA by converting the samples into Hankel matrix and solving a weighted low-rank minimization. (ii) Next, we estimate the DOAs using a subspace method, like Prony. In step (i), the matrix completion problem is approached by adding left and right weight matrices to the Hankel matrix obtained by lifting the antenna observations. Simulation results show that the proposed method has superior accuracy in DOA estimation compared to the other methods proposed in the literature, such as atomic-norm minimization and off-the-grid approaches.

Original languageEnglish
Title of host publication30th European Signal Processing Conference, EUSIPCO 2022 - Proceedings
PublisherEuropean Signal Processing Conference, EUSIPCO
Pages1756-1760
Number of pages5
ISBN (Electronic)9789082797091
StatePublished - 2022
Event30th European Signal Processing Conference, EUSIPCO 2022 - Belgrade, Serbia
Duration: 29 Aug 20222 Sep 2022

Publication series

NameEuropean Signal Processing Conference
Volume2022-August
ISSN (Print)2219-5491

Conference

Conference30th European Signal Processing Conference, EUSIPCO 2022
Country/TerritorySerbia
CityBelgrade
Period29/08/222/09/22

Keywords

  • Direction of arrival
  • Matrix completion
  • Non-uniform sampling
  • Off-the-grid DOA estimation
  • Super-resolution

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