The present application relates to the technical field of
laser spectrum gas detection, and particularly discloses a TDLAS double-
gas concentration synchronous calibration and decoupling method in the presence of spectral
aliasing interference, which comprises the following steps: acquiring a multi-
frequency band harmonic signal optimized adaptively while collecting environmental parameters, and determining an optimal
frequency band signal based on a
signal quality index; calculating a spectral
aliasing coefficient according to the characteristics of the optimal
frequency band signal, dynamically adjusting the operation parameters of
a search algorithm based on the numerical interval of the spectral
aliasing coefficient, and determining an initial range of double-
gas concentration in a search space. The present application combines an improved
genetic algorithm based on the dynamic adjustment of the search strategy of the spectral aliasing coefficient with an incremental
support vector regression model, realizes the hierarchical
processing from coarse calibration to fine decoupling, can automatically balance the calculation efficiency and search accuracy when the degree of spectral aliasing changes, and can online correct the model in combination with the aging characteristics.