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Enhanced least squares positioning algorithm for indoor position
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Enhanced least squares positioning algorithm for indoor position

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Gagner Technologies offered Final Year Projects, M.E projects 2013-2014, mini projects 2013-2014, Real Time Projects, Final Year Projects for BE ECE, Final Year Projects for BE cse, Final Year …

Gagner Technologies offered Final Year Projects, M.E projects 2013-2014, mini projects 2013-2014, Real Time Projects, Final Year Projects for BE ECE, Final Year Projects for BE cse, Final Year Projects for IT,
Mini projects, .Net projects,Java project,J2EE projects,Projects in Networking, Projects in data mining, Projects in mobile computing,Projects in distributed systems, Projects in networking security,software Engineering

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  • 1. Enhanced Least-Squares Positioning Algorithm for Indoor Position Abstract This project presents an enhanced least-squares positioning algorithm for locating and tracking within indoor environments where multipath and online-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.

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