Title :
A novel maximum likelihood estimator for GPS signal angle of arrival
Author :
Brenneman, M.T. ; Morton, Y.T.
Author_Institution :
Dept. of Electr. & Comput. Eng., Miami Univ., Oxford, OH, USA
Abstract :
A method is presented to recast the maximum likelihood equation for a GPS signal angle of arrival as a dynamical system. This map possesses a global attractor at the solution of the maximum likelihood equation, and therefore converges to the true AOA MLE regardless of the starting estimate used. A performance analysis shows the RMSE of its estimates are typically below the CRLB.
Keywords :
Global Positioning System; direction-of-arrival estimation; maximum likelihood estimation; GPS signal angle of arrival; dynamical system; global attractor; maximum likelihood equation; maximum likelihood estimator; performance analysis; Discrete Fourier transforms; Equations; Gaussian noise; Global Positioning System; Maximum likelihood estimation; Multiple signal classification; Newton method; Satellites; Search methods; Vectors;
Conference_Titel :
Signals, Systems and Computers, 2009 Conference Record of the Forty-Third Asilomar Conference on
Conference_Location :
Pacific Grove, CA
Print_ISBN :
978-1-4244-5825-7
DOI :
10.1109/ACSSC.2009.5470022
