Abstract: Traditional FADS is based on pressure sensor to measure the atmospheric parameters, and has been wide used in modern advanced aircraft. However, the lag of aerodynamic model and the complex iteration of the nonlinear equation may lead to the poor real-time characteristic and the instability of the system. An new method measuring the atmospheric parameters based on acoustic vector sensor is proposed, the airflow velocity is measured instead of the pressure. A modified airflow velocity distribution model over a blunt sphere is built based on uncompressible potential flow, which relates the airflow velocity to atmospheric parameters. The thermodynamic functions and a compression coefficient are used to calibrate the model. The formulations of atmospheric parameters, angle of attack, angle of sideslip and free stream velocity are derived from sampled velocity obtained by three strategically selected sensors'. The correct angle of attack is chosen from two different solutions. The distribution of airflow velocity over blunt sphere is simulated by Fluent, and the simulation data verifies the validity of these formulations, so the estimation of atmospheric parameters based on flow velocity is feasible. Further more, this method can be used at high angle of attack and greatly improve the system real-time.