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