Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: A Soft Range Limited K-Nearest Neighbours Algorithm for Indoor
  Localization Enhancement   This paper proposes a soft range limited K nearest neighbours (SRL-KNN)
localization fingerprinting algorithm. The conventional KNN determines the
neighbours of a user by calculating and ranking the fingerprint distance
measured at the unknown user location and the reference locations in the
database. Different from that method, SRL-KNN scales the fingerprint distance
by a range factor related to the physical distance between the user's previous
position and the reference location in the database to reduce the spatial
ambiguity in localization. Although utilizing the prior locations, SRL-KNN does
not require knowledge of the exact moving speed and direction of the user.
Moreover, to take into account of the temporal fluctuations of the received
signal strength indicator (RSSI), RSSI histogram is incorporated into the
distance calculation. Actual on-site experiments demonstrate that the new
algorithm achieves an average localization error of $0.66$ m with $80\%$ of the
errors under $0.89$ m, which outperforms conventional KNN algorithms by $45\%$
under the same test environment.

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The categories of this paper are: q-bio
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The categories of this paper are: comp-gas
28
The categories of this paper are: alg-geom
17
The categories of this paper are: q-fin
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The categories of this paper are: acc-phys
21
The categories of this paper are: adap-org
37
The categories of this paper are: supr-con
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The categories of this paper are: econ
12
The categories of this paper are: nucl-th
2
The categories of this paper are: math
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The categories of this paper are: astro-ph
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The categories of this paper are: nlin
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The categories of this paper are: physics
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The categories of this paper are: hep-ex
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The categories of this paper are: chao-dyn
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The categories of this paper are: hep-th