Narrowband angle of arrival estimation exploiting graph topology and graph signals

Research output: Contribution to conferencePaper

Abstract

Based on recent results of applying graph signal processing (GSP) to narrowband angle of arrival estimation for uniform linear arrays, we generalise the analysis to the case of arrays with elements placed arbitrarily in three dimensional space. We comment on the selection of the adjacency matrix, analyse how this new approach compares to the multiple signal classification (MUSIC) algorithm, and provide an efficient implementation. We demonstrate that the GSP approach can perform as well as MUSIC in terms of accuracy and computational cost. Simulations indicate that the proposed GSP approach avoids the severe performance degradation with which MUSIC is associated at low signal to noise ratios.
Original languageEnglish
Number of pages5
Publication statusAccepted/In press - 20 Jul 2020
EventInternational Conference on Sensor Signal Processing for Defence - Edinburgh, United Kingdom
Duration: 15 Sep 202016 Sep 2020
https://sspd.eng.ed.ac.uk/

Conference

ConferenceInternational Conference on Sensor Signal Processing for Defence
Abbreviated titleSSPD
CountryUnited Kingdom
CityEdinburgh
Period15/09/2016/09/20
Internet address

Keywords

  • noise ratios
  • graph topology
  • arrival estimation techniques

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    Proudler, I. K., Stankovic, V., & Weiss, S. (Accepted/In press). Narrowband angle of arrival estimation exploiting graph topology and graph signals. Paper presented at International Conference on Sensor Signal Processing for Defence, Edinburgh, United Kingdom.