Nonlinear Estimation by LMMSE-Based Estimation With Optimized Uncorrelated Augmentation

Abstract

For nonlinear estimation, the linear minimum mean square error (LMMSE) estimator using the measurement augmented by its nonlinear conversion can achieve better performance than using the original measurement. The main reason is that the original measurement cannot be fully utilized by the LMMSE estimator in a linear way. To effectively extract additional… (More)
DOI: 10.1109/TSP.2015.2437834

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@article{Lan2015NonlinearEB, title={Nonlinear Estimation by LMMSE-Based Estimation With Optimized Uncorrelated Augmentation}, author={Jian Lan and X. Rong Li}, journal={IEEE Transactions on Signal Processing}, year={2015}, volume={63}, pages={4270-4283} }