A constrained iterative deconvolution technique with an optimal filtering: application to a hydrocarbon concentration sensor

Abstract

A deconvolution method for estimating unburned hydrocarbon concentration in boiler smokes is presented. In order to qualify a boiler regarding to the ecological European Standards an iterative constrained estimation algorithm including a filtering step has been set up. The application of such technique to both synthetic signals and experimental data has shown its robustness in regard to measurement noise and its reliability to restore a signal.