Open AccessNLOS error mitigation algorithm for location based on WCDMA experimental data
Author(s) -
Wang Jianhui,
Hu Hanying,
Wang Daming,
Cui Weijia
Publication year - 2013
Publication title -
iet communications
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.355
H-Index - 62
eISSN - 1751-8636
pISSN - 1751-8628
DOI - 10.1049/iet-com.2010.1096
Subject(s) - non line of sight propagation , computer science , kalman filter , algorithm , robustness (evolution) , code division multiple access , statistic , artificial neural network , real time computing , computer network , telecommunications , artificial intelligence , statistics , wireless , mathematics , biochemistry , chemistry , gene
The study suggests a new non‐line of sight (NLOS) error mitigation algorithm based on Kalman filter and neural network. According to the construction features of the former and the statistic characteristics of the latter, the study theoretically deduces the condition to obtain the unbiased estimation of the true value of TOA, and then the study fixes on the state transition matrix of Kalman filter with neural network in different environment. The simulation results based on wideband code division multiple access (WCDMA) experimental data show that the location performance is improved with better estimation accuracy and robustness.