Fundamentals of statistical signal processing: estimation theory
Fundamentals of statistical signal processing: estimation theory
Covariance Shaping Least-Squares Location Estimation Using TOA Measurements
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
A constrained least squares approach to mobile positioning: algorithms and optimality
EURASIP Journal on Applied Signal Processing
Grid-search-based hybrid TOA/AOA location techniques for NLOS environments
IEEE Communications Letters
Hybrid TOA/AOA approximate maximum likelihood mobile localization
Journal of Electrical and Computer Engineering
Minimax MSE estimation of deterministic parameters with noise covariance uncertainties
IEEE Transactions on Signal Processing
Robust mean-squared error estimation in the presence of model uncertainties
IEEE Transactions on Signal Processing
Least squares algorithms for time-of-arrival-based mobile location
IEEE Transactions on Signal Processing
A simple and efficient estimator for hyperbolic location
IEEE Transactions on Signal Processing
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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.