Mobile location estimation scheme in NLOS environment

Long Cheng; Cheng-Dong Wu; Yun-Zhou Zhang; Hao Chu

doi:10.1587/elex.8.1829

LETTER

Mobile location estimation scheme in NLOS environment

Long Cheng, Cheng-Dong Wu, Yun-Zhou Zhang, Hao Chu

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Keywords: wireless sensor networks, non-line of sight, indoor localization, Kalman filter, hypothesis testing

JOURNAL FREE ACCESS

2011 Volume 8 Issue 21 Pages 1829-1835

DOI https://doi.org/10.1587/elex.8.1829

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Abstract

A Kalman-based hypothesis testing (KHT) algorithm is proposed for mobile location estimation in non-line of sight (NLOS) environments. Hypothesis testing is employed to detect whether the environment is NLOS or LOS along with time of arrival (TOA) and received signal strength (RSS) measurements. And then an extended Kalman filter is used to nonlinear estimation. Simulation results show that the Kalman-based hypothesis testing algorithm has higher estimate accuracy in comparison with extended Kalman filter.

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