On the Gaussian Cramér-Rao Bound for Blind Single-Input Multiple-Output System Identification: Fast and Asymptotic Computations

On the Gaussian Cramér-Rao Bound for Blind Single-Input Multiple-Output System Identification: Fast and Asymptotic Computations

The Cramér-Rao Bound (CRB) is a powerful tool to assess the performance limits of a parameter estimation problem for a given statistical model. In particular, the Gaussian CRB (i.e., the CRB obtained assuming the data are Gaussian) corresponds to the worst case; giving the largest CRB am...

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Bibliographic Details
Main Authors: Mohamed Nait-Meziane, Karim Abed-Meraim, Zhipeng Zhao, Nguyen Linh Trung
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Blind system identification
Cramér-Rao Bound (CRB)
Single-Input Multiple-Output (SIMO) systems
fast and asymptotic computations
Online Access:https://ieeexplore.ieee.org/document/9187805/

Internet

https://ieeexplore.ieee.org/document/9187805/

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