Non-linear parameter estimation for the LTP experiment: analysis of an operational exercise
G. Congedo, F. De Marchi, L. Ferraioli, M. Hueller, S. Vitale, M., Hewitson, M. Nofrarias, A. Monsky, M. Armano, A. Grynagier, M. Diaz-Aguilo,, E. Plagnol, B. Rais

TL;DR
This paper discusses a non-linear parameter estimation approach for the LISA-Pathfinder mission's experiments, aiming to identify and optimize system parameters to reduce disturbances on test masses for gravitational wave detection.
Contribution
It introduces a non-linear analysis method using the LTPDA Toolbox to improve parameter estimation and reduce degeneracies in the LTP experiment setup.
Findings
Progress in non-linear analysis techniques for LTP
Identification of critical parameters for disturbance reduction
Enhanced parameter estimation accuracy
Abstract
The precursor ESA mission LISA-Pathfinder, to be flown in 2013, aims at demonstrating the feasibility of the free-fall, necessary for LISA, the upcoming space-born gravitational wave observatory. LISA Technology Package (LTP) is planned to carry out a number of experiments, whose main targets are to identify and measure the disturbances on each test-mass, in order to reach an unprecedented low-level residual force noise. To fulfill this plan, it is then necessary to correctly design, set-up and optimize the experiments to be performed on-flight and do a full system parameter estimation. Here we describe the progress on the non-linear analysis using the methods developed in the framework of the \textit{LTPDA Toolbox}, an object-oriented MATLAB Data Analysis environment: the effort is to identify the critical parameters and remove the degeneracy by properly combining the results of…
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Taxonomy
TopicsTarget Tracking and Data Fusion in Sensor Networks
