Title :
Maximum likelihood using an array processor
Author :
Sridhar, Banavar ; Aubrun, Jean-Noel
Author_Institution :
University of Connecticut, Storrs, CT, USA
fDate :
2/1/1987 12:00:00 AM
Abstract :
Maximum likelihood estimation (MLE) is a method used to calculate the parameters of a dynamic system. It can be applied to a large class of problems and has good statistical properties. The main disadvantage of the MLE method is the amount of computation required. This paper describes how the computation time can be reduced significantly by using an array processor. The estimation of the parameters of a dynamic model of the space station is used as an example to evaluate the method.
Keywords :
Array processing; maximum-likelihood (ML) estimation; Application software; Circuits; DH-HEMTs; Laboratories; Libraries; Maximum likelihood estimation; NASA; Parameter estimation; Signal processing algorithms; Space stations;
Journal_Title :
Control Systems Magazine, IEEE
DOI :
10.1109/MCS.1987.1105239