In order to improve the accuracy of indoor positioning, this paper studies the ultra wideband(UWB)based three-dimensional positioning and optimal filtering method suitable for indoor positioning. The three-dimensional positioning model is established based on UWB. The characteristics of three-dimensional positioning data is analyzed using Kalman filter, smoothing filter, median filter and curve fitting algorithm in terms of time required, environmental requirements, cost performance and accuracy. The experimental results show that. compared with smooth filter, median filter and curve fitting algorithm, Kalman filter is more suitable for 3D positioning in indoor environment.
LI Nan
,
LIANG Bing
. 3D positioning and optimal filtering method based on UWB[J]. Journal of Hebei University(Natural Science Edition), 2021
, 41(3)
: 329
-336
.
DOI: 10.3969/j.issn.1000-1565.2021.03.016
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