Shipboard aircrafts, as high-performance aviation platforms, are routinely subject to demanding operational conditions including onboard landings, execution of large-scale maneuvers, and exposure to inclement meteorological environments. During flight operations, these aircraft inevitably face issues associated with limited mechanical redundancy in angle of attack and sideslip angle sensor signals, which result in compromised signal precision and reliability. In addressing the aforementioned issue, an analytical redundancy reconstruction approach based on of Extended Kalman Filter (EKF) is proposed, which enables the real-time and accurate reconstruction of flight control sensor signals (primarily flow angle) without the addition of mechanical redundancy. Simulation validation has confirmed that the proposed methodology exhibits superior longitudinal stability, commendable stabilization characteristics, and robustness, in addition to an estimation precision within 1 \(^\circ \) . It efficaciously fulfills the pragmatic flight requirements of carrier-based aircraft, boasting a straightforward architecture conducive to engineering implementation.