Abstract
A modified adaptive algebraic reconstruction technique (MAART) with an
auto-adjustment relaxation parameter and smoothness regularization is developed to
reveal the tomographic reconstruction of H2O distribution in combustion from
incomplete projections. Determinations of relaxation parameter and regularization
factor are discussed with regard to the consideration of improvement in
reconstruction and reduction of computational burden. A two-wavelength scheme from
tunable diode laser absorption measurement, 7444.36 and 7185.59 cm ?1, is used to
simplify the nonlinear solution problem for obtaining the tomographic distributions
of concentration and temperature simultaneously. Results of calculations demonstrate
that MAART can perform the reconstruction results more efficiently with little
complex modification and much lower iterations as compared with the traditional
algebraic reconstruction technique (ART) or simultaneous iterative reconstruction
technique (SIRT) methods. The stability of the algorithm is studied by
reconstruction from projections with random noise at different levels to demonstrate
the dependence of reconstruction results on precise line-of-sight measurements.
© 2011 Chinese Optics Letters
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