TDOA location algorithm based on Elman neural network
WU Yan-hong1,GUAN Wei-guo1,WANG Yan-feng2
1. College of Electronic and Information Engineering, Liaoning University of Technology, Jinzhou Liaoning 121001, China 2. College of Electrical Engineering, Liaoning University of Technology, Jinzhou Liaoning 121001, China
Abstract：Concerning Chan location algorithm's poor performance in Non-Line-of-Sight (NLOS) environment, a Chan location algorithm based on the Elman neural network was proposed. The Elman neural network was adopted to correct the NLOS errors with its dynamical characteristics and non-linear approach capacity and then the position was calculated by Chan's algorithm. The simulation results indicate that the location algorithm can improve the performance even in serious NLOS environment. The performance of the proposed algorithm outperforms that of Chan's algorithm and Taylor's algorithm.
2011, Vol. 31 
