Pannell, Christopher N. and Dhliwayo, Jabulani and Webb, David J. (1998) The accuracy of parameter estimation from noisy data, with application to resonance peak estimation in distributed Brillouin sensing. Measurement Science & Technology, 9 (1). pp. 50-57. ISSN 0957-0233. (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided)
Distributed Brillouin sensing of strain and temperature works by making spatially resolved measurements of the position of the measurand-dependent extremum of the resonance curve associated with the scattering process in the weakly nonlinear regime. Typically, measurements of backscattered Stokes intensity (the dependent variable) are made at a number of predetermined fixed frequencies covering the design measurand range of the apparatus and combined to yield an estimate of the position of the extremum. The measurand can then be found because its relationship to the position of the extremum is assumed known. We present analytical expressions relating the relative error in the extremum position to experimental errors in the dependent variable. This is done for two cases: (i) a simple non-parametric estimate of the mean based on moments and (ii) the case in which a least squares technique is used to fit a Lorentzian to the data. The question of statistical bias in the estimates is discussed and in the second case we go further and present for the first time a general method by which the probability density function (PDF) of errors in the fitted parameters can be obtained in closed form in terms of the PDFs of the errors in the noisy data.
|Divisions:||Faculties > Science Technology and Medical Studies > School of Physical Sciences|
|Depositing User:||M.A. Ziai|
|Date Deposited:||05 Apr 2009 17:29|
|Last Modified:||23 Jun 2014 14:08|
|Resource URI:||https://kar.kent.ac.uk/id/eprint/17485 (The current URI for this page, for reference purposes)|