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Published online by Cambridge University Press: 04 July 2016
This paper describes a comparative evaluation of twodata smoothing algorithms for use in a two stepestimation-beforemodelling procedure for aircraftparameter identification. A simple fixed lagsmoother is compared with the usual, and morecomplex, modified-Bryson-Frazier smoother in thefirst, state estimation, step of the aircraftparameter identification procedure. The comparisonis illustrated by application to the analysis of theDutch Roll motion of the Embraer EMB-312 Tucano.Both algorithms were found to give results ofcomparable accuracy although the fixed lag smootheris computationally more efficient. It was concludedthat the fixed lag smoother algorithm is anacceptable alternative to themodified-Bryson-Frazier algorithm in aircraftparameter identification applications.