Asymptotically Optimal Blind Calibration of Uniform Linear Sensor Arrays for Narrowband Gaussian Signals

An asymptotically optimal blind calibration scheme of uniform linear arrays for narrowband Gaussian signals is proposed. Rather than taking the direct Maximum Likelihood (ML) approach for joint estimation of all the unknown model parameters, which leads to a multi-dimensional optimization problem wi...

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Veröffentlicht in:	IEEE transactions on signal processing Jg. 68; S. 5322 - 5333
Hauptverfasser:	Weiss, Amir, Yeredor, Arie
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 2020 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Asymptotic properties Calibration Computer simulation Covariance matrices Covariance matrix Cramér-Rao lower bound direction-of-arrival Estimates gain estimation Iterative methods Linear arrays Lower bounds Mathematical models maximum likelihood Maximum likelihood estimates Maximum likelihood estimation Narrowband Offsets Optimization OWL Parameters phase estimation self calibration Sensor array processing Sensor arrays Transmission line matrix methods weighted least squares
ISSN:	1053-587X, 1941-0476
Online-Zugang:	Volltext
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