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  <contributor personID="haenselmann" />
  <author personID="haenselmann" />
  <author personID="busse" />
  <author>Thomas King</author>
  <author personID="effelsberg" />
  <title>Unequal Weighting for Improved Positioning in GPS-less
  Sensor Networks</title>
  <article>
    <journal>Journal on Advances in Signal Processing, Special
    Issue on: Cooperative Localization in Wireless Ad Hoc and
    Sensor Networks</journal>
    <volume>2008</volume>
    <number>281635 (doi:10.1155/2008/281635)</number>
  </article>
  <year>2008</year>
  <abstract lang="en">Positioning can be done by means of
  triangulation in which triples of position-aware nodes estimate a
  neighbor's position with the help of distances. If a larger
  number of nodes exist, multiple position estimates can be
  averaged to yield a more precise mean position. Rather than
  applying equal weights to each position estimate, we propose an
  unequal weighting scheme which emphasizes those summands in the
  averaging process that are more reliable than others. We will
  show that significant improvements of the overall estimate can be
  achieved, given that additional information about the error
  variance of a contributing estimate is known. A major advantage
  of the approach is that the precision of existing positioning
  systems can be improved without technical
  modifications.</abstract>
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