On the High-SNR Conditional Maximum-Likelihood Estimator Full Statistical Characterization
IEEE Transactions on Signal Processing
Least squares algorithms for time-of-arrival-based mobile location
IEEE Transactions on Signal Processing
An accurate algebraic solution for moving source location using TDOA and FDOA measurements
IEEE Transactions on Signal Processing
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This paper deals with a general procedure for asymptotically (in terms of signal-to-noise ratio) efficient estimation of mean parametrized Gaussian models. The proposed technique is based on an original theorem which is demonstrated. The resulting method allows in some nonlinear cases an efficient estimation without an iterative optimization algorithm (e.g. Gauss-Newton). The proposed framework is used to revisit and interpret an existing source localization method [Y.T. Chan, K.C. Ho, A simple and efficient estimator for hyperbolic location, IEEE Trans. Signal Process. 42(8) (August 1994) 1905-1915].