A Kalman-filter-based wireless clock synchronization method in indoor localization

Bo You; Xueen Li; Wei Liu

doi:10.1117/12.2243983

29 August 2016 A Kalman-filter-based wireless clock synchronization method in indoor localization

Bo You, Xueen Li, Wei Liu

Proceedings Volume 10033, Eighth International Conference on Digital Image Processing (ICDIP 2016); 100335Y (2016) https://doi.org/10.1117/12.2243983
Event: Eighth International Conference on Digital Image Processing (ICDIP 2016), 2016, Chengu, China

Abstract

In low-power and high-density real time locating systems, time difference of arrival (TDOA) technique outperforms other ranging techniques. The realization of TDOA-based high resolution indoor localization directly depends on the performance of clock synchronization. In this paper, we introduce a clock synchronization method based on the Kalman filter. The updated clock skew from the Kalman filter is incorporated into the calibration of the difference of arrival time to achieve highly accurate localization of moving targets. Experiments show that our method provides a nanosecond level synchronization resolution and has good robustness to clock synchronization period and non-line-of-sight error, which is quite suitable for indoor localization scenario.

Citation Download Citation

Bo You, Xueen Li, and Wei Liu "A Kalman-filter-based wireless clock synchronization method in indoor localization", Proc. SPIE 10033, Eighth International Conference on Digital Image Processing (ICDIP 2016), 100335Y (29 August 2016); https://doi.org/10.1117/12.2243983

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