Robust Mobile Location Estimation Using Hybrid TOA/AOA Measurements in Cellular Systems

Estimating a location of mobile station is considerable interest in wireless cellular systems. This letter deals with a hybrid time-of-arrival (TOA)/angle-of-arrival (AOA) mobile location estimation under relatively low signal-to-noise ratio and moderately nonline-of-sight (NLOS) scenarios. To reduce location estimation errors, a robust estimator for hybrid TOA/AOA location systems is proposed by using the minimax mean-squared error (MSE) criterion. Simulation results demonstrate that the proposed estimator significantly outperforms the other least squares estimators.