Narrowband angle of arrival estimation exploiting graph topology and graph signals

Proudler, Ian K. and Stankovic, Vladimir and Weiss, Stephan (2020) Narrowband angle of arrival estimation exploiting graph topology and graph signals. In: International Conference on Sensor Signal Processing for Defence, 2020-09-15 - 2020-09-16. (In Press)

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    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.

    Creators(s): Proudler, Ian K., Stankovic, Vladimir ORCID logoORCID: https://orcid.org/0000-0002-1075-2420 and Weiss, Stephan ORCID logoORCID: https://orcid.org/0000-0002-3486-7206;
    Item type:Conference or Workshop Item(Paper)
    ID code:73295
    Keywords:noise ratios, graph topology, arrival estimation techniques, Electrical engineering. Electronics Nuclear engineering, Electrical and Electronic Engineering
    Subjects:Technology > Electrical engineering. Electronics Nuclear engineering
    Department:Faculty of Engineering > Electronic and Electrical Engineering
    Technology and Innovation Centre > Sensors and Asset Management
    Depositing user: Pure Administrator
    Date deposited:22 Jul 2020 13:55
    Last modified:16 Sep 2020 02:54
    Related URLs:
    URI:https://strathprints.strath.ac.uk/id/eprint/73295
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