Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: 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 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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The categories of this paper are: chem-ph
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The categories of this paper are: nucl-ex
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The categories of this paper are: math-ph
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The categories of this paper are: hep-lat
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The categories of this paper are: hep-th
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The categories of this paper are: nucl-th
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The categories of this paper are: physics
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The categories of this paper are: solv-int
0
The categories of this paper are: hep-ph
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The categories of this paper are: chao-dyn
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The categories of this paper are: dg-ga
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The categories of this paper are: q-fin
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The categories of this paper are: bayes-an
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The categories of this paper are: cmp-lg
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The categories of this paper are: q-bio
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The categories of this paper are: adap-org