Aircraft Type Recognition Based on Fiber Optic Sensing

Traditional aircraft type recognition mainly relies on methods such as image recognition and radar communication. In order to cope with scenarios where traditional methods fail under extreme weather conditions, this paper proposes a fiber optic sensor-based aircraft type recognition method. First, a method for estimating aircraft taxiing velocity based on Kalman filtering was proposed. Then, by combining the time difference between the waveform peaks and fitting with multiple sensor data, the distance between the nose and main landing gear of the aircraft was extracted to obtain more accurate results. Finally, by matching the calculated values of the distribution of aircraft landing gears with the actual size information of various types of aircraft, aircraft type recognition was achieved. The experimental results show that the calculated values of the aircraft size information are close to the theoretical values.