This paper proposes a novel intelligent estimation algorithm in Wireless Sensor Network nodes location based on Free Search,which converts parameter estimation to on-line optimization of nonlinear function and estimat...This paper proposes a novel intelligent estimation algorithm in Wireless Sensor Network nodes location based on Free Search,which converts parameter estimation to on-line optimization of nonlinear function and estimates the coordinates of senor nodes using the Free Search optimization.Compared to the least-squares estimation algorithms,the localization accuracy has been increased significantly,which has been verified by the simulation results.展开更多
A location and tracking algorithm with NLOS （Non-Line of Sight） errors for MS （Mobile Station） is proposed in this paper. A cellular localization algorithm based on the RON online RBF neural network is proposed. T...A location and tracking algorithm with NLOS （Non-Line of Sight） errors for MS （Mobile Station） is proposed in this paper. A cellular localization algorithm based on the RON online RBF neural network is proposed. The measurement ofAOA, TOA and TDOA provided by mobile base station is fused to locate mobile. The location performance of RON online RBF neural network is simulated. The simulation results indicate that shrink, attenuation, shift or overlapping phenomenon is avoided when the network redundant hidden nodes appear. It＇ s location accuracy is significantly improved under complicated multi-path environment.展开更多
基金National Research Foundation for the Doctoral Program of Higher Education of China(No.20060266006)the High-school Natural Science Research Foundation of Jiangsu Province(No.07KJB510095)
文摘This paper proposes a novel intelligent estimation algorithm in Wireless Sensor Network nodes location based on Free Search,which converts parameter estimation to on-line optimization of nonlinear function and estimates the coordinates of senor nodes using the Free Search optimization.Compared to the least-squares estimation algorithms,the localization accuracy has been increased significantly,which has been verified by the simulation results.
文摘A location and tracking algorithm with NLOS （Non-Line of Sight） errors for MS （Mobile Station） is proposed in this paper. A cellular localization algorithm based on the RON online RBF neural network is proposed. The measurement ofAOA, TOA and TDOA provided by mobile base station is fused to locate mobile. The location performance of RON online RBF neural network is simulated. The simulation results indicate that shrink, attenuation, shift or overlapping phenomenon is avoided when the network redundant hidden nodes appear. It＇ s location accuracy is significantly improved under complicated multi-path environment.
