SAGE and Maximum Entropy Algorithmic Comparison for adaptive antenna array calibration

Adaptive antenna arrays, also known as smart antennae, are becoming progressively a viable alternative to larger antenna structures in a wide number of different scenarios. However, in order to take full advantage of the arrays' interference rejection and SNR (Signal-to-Noise Ratio) improvement...

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Hauptverfasser:	Antón, Alberto, Martinez, Ramón, Torre, Alberto, García-Rojo, Isabel, Hernández, Rafael, Albarrán, Iván
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Antennas Arrays Calibration Direction of arrival estimation Entropy Maximum likelihood estimation
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creator	Antón, Alberto Martinez, Ramón Torre, Alberto García-Rojo, Isabel Hernández, Rafael Albarrán, Iván
description	Adaptive antenna arrays, also known as smart antennae, are becoming progressively a viable alternative to larger antenna structures in a wide number of different scenarios. However, in order to take full advantage of the arrays' interference rejection and SNR (Signal-to-Noise Ratio) improvement capabilities, that is, in order to perform a correct signal beamforming via complex weights' manipulation, the antenna structure needs a precise calibration procedure. In this paper, two algorithms, based on efficient MLE (Maximum Likelihood Estimation) and MEE (Maximum Entropy Estimation) are analyzed and simulated, in order to obtain their relative performance.
doi_str_mv	10.1109/ARRAY.2010.5613329
format	Conference Proceeding
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subjects	Antennas Arrays Calibration Direction of arrival estimation Entropy Maximum likelihood estimation
title	SAGE and Maximum Entropy Algorithmic Comparison for adaptive antenna array calibration
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