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.


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    Title :

    TDOA Location Algorithm Based on Adaptive Threshold Function Wavelet Transform


    Additional title:

    Lect. Notes Electrical Eng.


    Contributors:
    Yang, Changfeng (editor) / Xie, Jun (editor) / Zhang, Likai (author) / Deng, Zhongliang (author) / Han, Ke (author) / Li, Xin (author) / Zhang, Chongyu (author)


    Publication date :

    2022-05-05


    Size :

    10 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English




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