Robust NLOS Error Mitigation Algorithm Based on Neural Network
Hanying Hu · Jisuanji gongcheng · 2011
In this paper,a new Non Line of Sight(NLOS) error mitigation algorithm based on Kalman filter and neural network is proposed.According to the features of Time of Arrival(TOA) measurements and the statistic characteristics of NLOS errors,the condition on which can obtain the unbiased estimation of Kalman filter is deduced.It fixes on the state transition matrix of Kalman filter with neural network in different environments.Simulation results show that the location performance of the algorithm is improved with better estimation accuracy and robustness.