DocumentCode :
2723265
Title :
SAGE and Maximum Entropy Algorithmic Comparison for adaptive antenna array calibration
Author :
Antón, Alberto ; Martínez, Ramón ; Torre, Alberto ; García-Rojo, Isabel ; Hernández, Rafael ; Albarrán, Iván
Author_Institution :
Ing. y Servicios Aeroespaciales, S.A. (INSA), Madrid, Spain
fYear :
2010
fDate :
12-15 Oct. 2010
Firstpage :
447
Lastpage :
452
Abstract :
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.
Keywords :
adaptive antenna arrays; array signal processing; calibration; maximum entropy methods; maximum likelihood estimation; MEE; MLE; SAGE; SNR; adaptive antenna array calibration; interference rejection; maximum entropy algorithmic; maximum likelihood estimation; signal beamforming; signal-to-noise ratio; smart antenna; space alternating generalized expectation maximization algorithm; Antennas; Arrays; Calibration; Direction of arrival estimation; Entropy; Maximum likelihood estimation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Phased Array Systems and Technology (ARRAY), 2010 IEEE International Symposium on
Conference_Location :
Waltham, MA
Print_ISBN :
978-1-4244-5127-2
Electronic_ISBN :
978-1-4244-5128-9
Type :
conf
DOI :
10.1109/ARRAY.2010.5613329
Filename :
5613329
Link To Document :
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