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Issue No. 08 - Aug. (2013 vol. 12)
ISSN: 1536-1233
pp: 1640-1650
Ian Sharp , CSIRO, Marsfield
Kegen Yu , University of New South Wales, Sydney
ABSTRACT
This paper presents an enhanced least-squares positioning algorithm for locating and tracking within indoor environments where multipath and nonline-of-sight propagation conditions predominate. The ranging errors are modeled as a zero-mean random component plus a bias component that is assumed to be a linear function of the range. Through minimizing the mean-square error of the position estimation, an expression for the optimal estimate of the bias parameter is obtained. Both range and pseudo-range-based positioning are considered. Simulations and experimentation are conducted which show that a significant accuracy gain can be achieved for range-based positioning using the enhanced least-squares algorithm. It is also observed that the pseudo-range-based least-squares algorithm is little affected by the choice of the bias parameter. The results demonstrate that the experimental 5.8-GHz ISM band positioning system can achieve positional accuracy of around half a meter when using the proposed algorithm.
INDEX TERMS
Position measurement, Base stations, Measurement uncertainty, Mobile communication, Algorithm design and analysis, Standards, Accuracy, experimental verification, Indoor positioning, positional accuracy analysis, enhanced least-squares algorithm, multipath and nonline-of-sight propagation, range and pseudo-range, optimal bias parameter
CITATION
Ian Sharp, Kegen Yu, "Enhanced Least-Squares Positioning Algorithm for Indoor Positioning", IEEE Transactions on Mobile Computing, vol. 12, no. , pp. 1640-1650, Aug. 2013, doi:10.1109/TMC.2012.124
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