MOBILE LOCALIZATION AND TRACKING WITH LOS AND NLOS IDENTIFICATION IN WIRELESS SENSOR NETWORKS

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International Journal on Smart Sensing and Intelligent Systems

Professor Subhas Chandra Mukhopadhyay

Exeley Inc. (New York)

Subject: Computational Science & Engineering, Engineering, Electrical & Electronic

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VOLUME 9 , ISSUE 2 (June 2016) > List of articles

MOBILE LOCALIZATION AND TRACKING WITH LOS AND NLOS IDENTIFICATION IN WIRELESS SENSOR NETWORKS

Y. K. Benkouider * / M. Keche *

Keywords : Localization, Tracking, Wireless Sensor Network, Non Line of Sight, Divided Difference Kalman Filter, Unscented Kalman Filter, Bias estimation, Hypothesis testing.

Citation Information : International Journal on Smart Sensing and Intelligent Systems. Volume 9, Issue 2, Pages 1,054-1,072, DOI: https://doi.org/10.21307/ijssis-2017-907

License : (CC BY-NC-ND 4.0)

Received Date : 22-February-2016 / Accepted: 11-April-2016 / Published Online: 01-June-2016

ARTICLE

ABSTRACT

This paper addresses the problem of mobile sensor localization and tracking in an obstructed environment. To solve this problem, a combination of three approaches is proposed: a nonlinear Kalman Filter to estimate the mobile position, a sub filter used jointly with the nonlinear filter to estimate the bias due to the Non-Line Of Sight (NLOS) effect and a low complexity method for Line Of Sight (LOS) and NLOS identification. Based on hypothesis testing, this method discriminates between the LOS and NLOS situations using a sequence of estimated biases. Simulation results show that the proposed method provides good positioning accuracy.

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