The Use of Statistical Image Classification Techniques for the Assessment of Measured Antenna Pattern Functions
Authors: J. McCormick, S.F. Gregson, C.G. Parini
Publication: EuCAP 2011
Copyright Owner: IEEE
Attempts to produce robust, objective, quantitative measures of similarity between antenna pattern data sets using statistical methods have been widely reported in the open literature [1, 2, 3, 4, 5]. This paper presents an introduction to the physical validity and use of generalised statistical analysis along with specialist statistical image classification concepts as applied to the assessment of antenna pattern functions. Before presenting results the paper describes some of the more recent developments in the field relating to, nominal, ordinal, interval and the more usual ratio type levels of measurement data available within near-field measurement data sets. Finally the paper describes how these assessment techniques could be implemented in a formal gage repeatability and reproducibility (R&R) [6] numerical quality analysis of a measurement system.
You have requested a Reprint of an IEEE Paper
Copyright 2011 IEEE. Reprinted from EuCAP 2011 Conference.
This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of NSI-MI Technologies' products or services. Internal or personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution must be obtained from the IEEE by writing to pubs-permissions@ieee.org.
By choosing to view this document, you agree to all provisions of the copyright laws protecting it.
