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

  • Authors:
  • Ann-Chen Chang;Jhih-Chung Chang

  • Affiliations:
  • Department of Information Technology, Ling Tung University, Taichung, Taiwan, R.O.C. 408;Department of Information Technology, Ling Tung University, Taichung, Taiwan, R.O.C. 408

  • Venue:
  • Wireless Personal Communications: An International Journal
  • Year:
  • 2012

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Abstract

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.