NLOS error mitigation algorithm for location based on WCDMA experimental data

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.