Direction-of-arrival estimation with espar antennas using Bayesian compressive sensing

Rongrong Qian, Mathini Sellathurai

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

1 Citation (Scopus)

Abstract

This paper presents a novel approach of direction-of-arrival (DoA) estimation for the electronically steerable parasitic array radiator (ESPAR) antennas, using only a single radio-frequency (RF) chain. Starting from the problem formulation in the Bayesian compressive sensing (BCS) framework, the CS measurements are projected onto the beamspace of the unique configuration of the ESPAR antenna. In this work, measurements collected at multiple snapshots are considered. First, we propose to solve the sparse recovery problem by the multi-task BCS [1]. Then, the DoAs are estimated by employing a noise filter on the recovered sparse signal. In this method, the number of sources need not be known a priori, and computation complexity is reduced by avoiding computing the correlation matrix of measurements unlike the traditional DoA estimation techniques. Simulations show that the proposed method can recover closely spaced sources using a small number of noisy snapshots, and it performs better with more sources than other state-of-the-art algorithms.

Original languageEnglish
Title of host publication2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
PublisherIEEE
Pages3076-3080
Number of pages5
ISBN (Electronic)9781479999880
DOIs
Publication statusPublished - 19 May 2016
Event41st IEEE International Conference on Acoustics, Speech and Signal Processing 2016 - Shanghai International Convention Center, Shanghai, China
Duration: 20 Mar 201625 Mar 2016

Publication series

NameIEEE International Conference on Acoustics, Speech, and Signal Processing
PublisherIEEE
ISSN (Print)2379-190X

Conference

Conference41st IEEE International Conference on Acoustics, Speech and Signal Processing 2016
Abbreviated titleICASSP 2016
CountryChina
CityShanghai
Period20/03/1625/03/16

Keywords

  • Array signal processing
  • Bayesian compressive sensing
  • DoA estimation
  • ESPAR antenna

ASJC Scopus subject areas

  • Signal Processing
  • Software
  • Electrical and Electronic Engineering

Fingerprint Dive into the research topics of 'Direction-of-arrival estimation with espar antennas using Bayesian compressive sensing'. Together they form a unique fingerprint.

  • Cite this

    Qian, R., & Sellathurai, M. (2016). Direction-of-arrival estimation with espar antennas using Bayesian compressive sensing. In 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (pp. 3076-3080). (IEEE International Conference on Acoustics, Speech, and Signal Processing). IEEE. https://doi.org/10.1109/ICASSP.2016.7472243