Files in this item



application/pdfECE499-Fa2014-yue.pdf (927kB)Restricted to U of Illinois
(no description provided)PDF


Title:Neutral wind field model estimation and optimal layout determination
Author(s):Yue, Chenshuo
Contributor(s):Makela, Jonathan J.
Subject(s):thermospheric wind field simulation
sensor layout optimization
Abstract:The project introduces three different but related processes for neutral wind field estimation and optimization of sensor layout for a network of Fabry–Pérot interferometers, which are instruments for collecting wind speed and temperature of thermospheric wind fields. A mathematical model is presented to estimate the thermospheric neutral wind field. Algorithms are introduced to find the optimal layout for neutral wind field estimation without assuming anything about the original wind field. The fundamental theory behind the algorithm design is based in linear algebra. Further exploration of the optimal layout for simulation of the neutral wind field leads to the development of an alternative method. The fundamental principle underlying this new method comes from advanced linear algebra, regularization, which is a process to solve ill-conditioned or singular linear systems. The quadratic assumption of the neutral wind field form shows great performance if the wind field is very simple. The regularization method to simulate the neutral wind has obvious advantages if the neutral wind field is in different form, since the regularization method could be used to simulate the wind field with undetermined form. Also, the regularization method could be adjusted to simulate the wind field with various preferences, such as smoothness. The test on North American Thermosphere-Ionosphere Observation Network, a network of 5 FPIs in United States, demonstrated the performance of the optimal layout we currently generated by greedy algorithm. In general, the optimal layout shows a pretty good noise bearing ability. Also, with fewer measurements collected by the FPIs, we are still able to get a simulated neutral wind containing a lot of useful information.
Issue Date:2014-12
Date Available in IDEALS:2015-11-05

This item appears in the following Collection(s)

Item Statistics