LS-SPSO-WSGG model-based tail flame infrared radiation brightness spectral component identification method

The invention provides a tail flame infrared radiation brightness spectral component identification method based on an LS-SPSO-WSGG model, and relates to the technical field of target infrared stealth, and the method comprises the steps: collecting a tail flame target infrared radiation brightness spectrum, processing the spectrum, and extracting an infrared spectrum characteristic peak of a single gas; according to the infrared spectrum characteristic peak of the single gas, based on the gas infrared radiation spectral line characteristics, the Kirchhoff law and the Planck black body radiation law, establishing a tail flame infrared radiation brightness spectrum fitting model; a tail flame infrared radiance spectrum fitting algorithm LS-SPSO is designed based on a group optimization algorithm and a least square method, and separation of a single gas in an infrared radiance spectrum overlapping band is realized according to an infrared spectrum characteristic peak of the single gas and a grey gas weighted sum