A Comparative Study of Multilateration Methods for Single-Source Localization in Distributed Audio
In this article we analyze the state-of-the-art in multilateration - the family of localization methods enabled by the range difference observations. These methods are computationally efficient, signal-independent, and flexible with regards to the number of sensing nodes and their spatial arrangemen...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
FRUCT
2020-09-01
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| Series: | Proceedings of the XXth Conference of Open Innovations Association FRUCT |
| Subjects: | |
| Online Access: | https://www.fruct.org/publications/acm27/files/Kit.pdf |
| Summary: | In this article we analyze the state-of-the-art in multilateration - the family of localization methods enabled by the range difference observations. These methods are computationally efficient, signal-independent, and flexible with regards to the number of sensing nodes and their spatial arrangement. However, the multilateration problem does not admit a closed-form solution in the general case, and the localization performance is conditioned on the accuracy of range difference estimates. For that reason, we consider a simplified use case where multiple distributed microphones capture the signal coming from a near field sound source, and discuss their robustness to the estimation errors. In addition to surveying the relevant bibliography, we present the results of a small-scale benchmark of few ""mainstream"" multilateration algorithms, based on an in-house Room Impulse Response dataset. |
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| ISSN: | 2305-7254 2343-0737 |