Implementation of Embedded Multiple Signal Classification Algorithm for Mesh IoT Networks

Tiago Troccoli, Juho Pirskanen, Aleksandr Ometov, Jari Nurmi, Ville Kaseva

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

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Angle-of-Arrival (AoA) methods are an Internet of Things (IoT) application, which could be used, for example, in indoor localization. Anchor nodes have an array of antennas and could send the data via Ethernet cable to the cloud that calculates AoA. However, having cable connections means high installation costs, and constantly transferring big chunks of data over some IoT networks, such as mesh, is energy inefficient. The solution of this paper consists in executing AoA locally in anchor nodes. Thus, the paper presents an implementation of a Multiple Signal Classification (MUSIC) algorithm tailor- made for embedded system devices. It calculates a complex eigendecomposition via an equivalent real formulation. It has a detailed memory analysis of the implemented solution that shows its memory requirements satisfy commercial embedded systems for IoT, such as Nordic semiconductor System-on-Chip (SoC) of nRF52 Series and all their SoCs with direction-finding capability. Experiments show that reducing the floating-point precision to shrink its memory footprint does not impact the accuracy. It also shows that minimizing the execution time of its time-consuming peak-finding operation has a few effects on accuracy.
Original languageEnglish
Title of host publication2022 International Conference on Localization and GNSS, ICL-GNSS 2022 - Proceedings
EditorsJari Nurmi, Elena-Simona Lohan, Joaquin Torres Sospedra, Heidi Kuusniemi, Aleksandr Ometov
Number of pages7
ISBN (Electronic)978-1-6654-0575-1
ISBN (Print)978-1-6654-0576-8
Publication statusPublished - Jun 2022
Publication typeA4 Article in conference proceedings
EventInternational Conference on Localization and GNSS - Tampere, Finland
Duration: 7 Jun 20229 Jun 2022

Publication series

NameInternational Conference on Localization and GNSS
ISSN (Print)2325-0747
ISSN (Electronic)2325-0771


ConferenceInternational Conference on Localization and GNSS
Abbreviated titleICL-GNSS 2022


  • Location awareness
  • Angle-of-arrival
  • IoT
  • Mesh networks
  • embedded systems

Publication forum classification

  • Publication forum level 1


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