Abstract
For the purpose of reducing multi-path interference for positioning accuracy in Orthogonal Frequency Division Multiplexing(OFDM) systems,a location algorithm based on Back Propagation(BP) neural networks was proposed.MUltiple SIgnal Classification(MUSIC) algorithm was used to estimate the Time Of Arrival(TOA) of the first arrival path and calculate the Time Difference Of Arrival(TDOA).Then BP neural network was used to correct the TDOA.Finally Chan algorithm was used to determine the location of the mobile station.The location algorithm was simulated in multi-path environment.The simulation results show that this algorithm can effectively reduce the effect of the multi-path interference and the performance is better than Least Square(LS) algorithm,Chan algorithm and Taylor algorithm.
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