@inproceedings{4abcb13dfbd24b79827e353012235b51,
title = "A novel wavelet denoising pre-processing algorithm for TDOA localization",
abstract = "In order to reduce the distance measurement errors during TDOA localization, a novel pre-processing algorithm based on wavelet denoising is proposed. The wavelet pre-processing algorithm is able to flexibly select the number of wavelet decomposition levels based on the energy coefficient, then different thresholds are set for positive and negative wavelet coefficients which do not require noise estimation. Next, a new threshold function is designed to deal with wavelet coefficients which can incorporate the advantages of soft thresholding and hard thresholding, and finally the signal is reconstruct. Simulation results show that the wavelet preprocessing algorithm reduces distance measurement errors and improves the positioning accuracy under different environments.",
keywords = "Localization, Measunng noise error, NLOS, Wavelet transform",
author = "Wenping Zhu and Shujuan Hou and Yuan Yuan",
note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 2019 IEEE/CIC International Conference on Communications in China, ICCC 2019 ; Conference date: 11-08-2019 Through 13-08-2019",
year = "2019",
month = aug,
doi = "10.1109/ICCChina.2019.8855870",
language = "English",
series = "2019 IEEE/CIC International Conference on Communications in China, ICCC 2019",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "266--270",
booktitle = "2019 IEEE/CIC International Conference on Communications in China, ICCC 2019",
address = "United States",
}
