Analysis and Design of a MuSiC-Based Angle of Arrival Positioning System

Research output: Contribution to journalResearch articleContributedpeer-review

Contributors

Abstract

In this research article, a concept for a secondary RAdio Direction And Ranging (RADAR) angle of arrival based system with cooperative targets transmitting at 2.4 GHz and using Multiple Signal Classification (MuSiC) to determine the angles of incidence is investigated. In addition to introducing common algorithms and presenting thorough derivations, the system is first examined through simulations. To prove the concept, hardware, firmware, and software are developed. For MuSiC, we propose three novel methods to obtain the correct incident angle from the spectrum, especially in strong multipath environments. These methods work either for a single spectrum or for a combination recorded at multiple times. Together with the estimated angles of incidence, our methods determine measures on the respective likelihoods. Based on this, we additionally propose two algorithms for computing the final position. Our system is characterized in both a simple 20 m × 15 m outdoor and a 17 m × 13 m multipath indoor environment, where we achieve a mean angular error of 3° and a mean positioning error of 0.67 m for the former using only four base stations with four antennas each. Our novel approach shows position accuracy improvements of 15% outdoors and 25% indoors compared to classical MuSiC estimation.

Details

Original languageEnglish
Pages (from-to)1-41
Number of pages41
JournalACM Transactions on Sensor Networks
Volume19
Issue number3
Publication statusPublished - Mar 2023
Peer-reviewedYes

External IDs

Mendeley 51a9e83c-9915-3018-83b8-214bc3580396
unpaywall 10.1145/3577927
Scopus 85166312390
WOS 001035842600020
ORCID /0000-0001-9692-2808/work/142238889

Keywords

DFG Classification of Subject Areas according to Review Boards

ASJC Scopus subject areas

Keywords

  • own, dissertation, firstauthor, journal, Positioning, secondary RADAR, Angle of arrival, Fast Fourier Transform, Multiple signal classification, Phase difference, Spectrum, Incident angle, Relevance, Direction of arrival, AoA, Weighting, Fft, MuSiC, Quality, DoA, Area ratio, Localization