Research Article
Nodes Deployment Optimization for Indoor Localization Using FIR Filter
@INPROCEEDINGS{10.1007/978-3-031-50574-4_1, author={Ruohan Yang and Yuan Xu and Rui Gao and Kaixin Liu}, title={Nodes Deployment Optimization for Indoor Localization Using FIR Filter}, proceedings={Multimedia Technology and Enhanced Learning. 5th EAI International Conference, ICMTEL 2023, Leicester, UK, April 28-29, 2023, Proceedings, Part II}, proceedings_a={ICMTEL PART 2}, year={2024}, month={2}, keywords={Mean geometric dilution of precision Ultra-wideband Finite impulse response}, doi={10.1007/978-3-031-50574-4_1} }- Ruohan Yang
Yuan Xu
Rui Gao
Kaixin Liu
Year: 2024
Nodes Deployment Optimization for Indoor Localization Using FIR Filter
ICMTEL PART 2
Springer
DOI: 10.1007/978-3-031-50574-4_1
Abstract
In order to improve the positioning accuracy of ultra-wideband (UWB) positioning system, it is usually to reduce the measurement error or choose a better positioning algorithm, and the geometric relationship between the blind node and the reference node is also an important factor affecting the positioning accuracy. In this paper, the minimum geometric dilution of precision (GDOP) of the mean value of the trajectory is proposed as the criterion for judging the optimal geometric layout of the reference node. After the optimal geometric layout of the reference node is obtained by the evaluation criterion, the finite impulse response (FIR) filter is selected to filter the observed values to remove noise and improve the system performance again. After simulation, it can be concluded that this method can effectively reduce the positioning error and improve the positioning accuracy.
