This invention provides a method and
system for measuring atmospheric data using integrated
optical sensing, comprising: real-time acquisition of
surface pressure distribution and
surface recovery temperature using a FADS subsystem, and inversion of Mach number, static pressure, and
attack angle parameters; periodic
laser emission using a MOADS subsystem, and analysis of atmospheric parameters such as
air velocity,
attack angle, and density through backscattering
spectroscopy; independent Kalman filters running on the FADS and MOADS subsystems, performing local optimal estimations using aerodynamic equations and observation equations; employing a federated
Kalman filtering algorithm, dynamically adjusting the weights based on the residual
covariance matrix of the two subsystems, and jointly solving the pressure, temperature data, and optical signals based on the adjusted weights, outputting Mach number,
attack angle, total / static pressure, total / static temperature, and atmospheric density. The technical solution of this invention addresses the technical problems of high cost and limited environmental adaptability associated with using FADS or MOADS systems alone in existing technologies.