With the rapid development of wireless communication technology, people have higher and higher requirements for positioning and navigation services. However, due to the existence of non-line-of-sight in the complex indoor environment, the accuracy and robustness of TDOA-based positioning methods are drastically reduced. In order to reduce the distance error in TDOA positioning, this paper proposes a TDOA positioning algorithm based on adaptive threshold function wavelet transform, which uses the low-pass filtering characteristics of discrete wavelet transform and multi-resolution analysis capabilities to perform multi-scale decomposition of positioning signals. The wavelet coefficients obtained by the decomposition are processed, and the pre-processed signal is finally reconstructed to achieve the effect of suppressing the Non Line of Sight (NLOS) error. The experimental results prove that in non-line-of-sight environments, the improved algorithm improves the positioning accuracy, reduces the computational complexity, and has better performance than the traditional wavelet transform-based TDOA algorithm.
TDOA Location Algorithm Based on Adaptive Threshold Function Wavelet Transform
Lect. Notes Electrical Eng.
China Satellite Navigation Conference (CSNC 2022) Proceedings ; Chapter : 39 ; 442-451
2022-05-05
10 pages
Article/Chapter (Book)
Electronic Resource
English
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