Characteristics of SRS inversion for measurement of temperature and CO2 concentration profile of a combustion gas layer

Abstract

The spectral remote sensing (SRS) inversion technique to determine the complex, line-of-sight temperature distribution from gas emission data at CO2 4.3 mum is analytically investigated with two proposed algorithms. The modified constrained inversion method (MCIM) and the base function based inversion method (BFIM) are extensively tested to evaluate their convergence characteristics for practical applications. The MCIM shows good applicability only to relatively simple profiles, while the BFIM gives reasonable estimations even for multi-peak profiles provided that appropriate base functions are selected. Further, simultaneous inversion of temperature and concentration is tried and it is found to be accurately achieved when there is an inter-correlation between them. (C) 2003 Elsevier Ltd. All rights reserved.