基于RBF神经网络的泰勒级数展开定位算法.pdfVIP

计算机工程与应用 ， （ ） 245 Computer Engineering and Applications 2009 45 15 基于RBF 神经网络的泰勒级数展开定位算法 张宝军，毛永毅 ， ZHANG Bao-jun MAO Yong-yi 西安邮电学院电子与信息工程系，西安 710061 ， ’ ， ’ ， Deptartment of Electronic and Information Xi an University of Post and Telecommunications Xi an 710061 China ： E-mail zbj@ ， ZHANG Bao -jun MAO Yong -yi.Taylor -series expansion location algorithm based on RBF neural network .Computer ， ， （）： Engineering and Applications 2009 45 15 245-248. ： （ ） ， Abstract In Line-Of-Sight LOS environment Taylor-series expansion location algorithm has goodish location accuracy.But in （ ） ， ’ Non-Line-Of-Sight NLOS environment location accuracy of Taylor s algorithm degrades greatly.In order to mitigate the effect of ， NLOS propagation a Taylor -series expansion location algorithm based on the RBF neural network is proposed.The fast study and ， non-linear approach capacity of the neural network is made use of to correct the error of NLOS propagation then position is ’ ’ calculated by Taylor s algorithm.The simulation results indicate that the effect of NLOS propagation is mitigated by Taylor s al－ gorithm based on the RBF neural network.Its location accuracy is significantly improved and the performance of this algorithm is ’ ， ’ ’ better than that of Taylor s algorithm Chan s algorithm and LS s algorithm