Analysis of Aircraft Cabin Door Signal Processing Based on Filtering Algorithms

The cabin door signal system is essential for the safe operation of modern aircraft, as the accuracy of its signals directly affects the precise assessment of cabin door status and overall aircraft safety. Consequently, efficient filtering methods for aircraft cabin door signals are a key area of research. This paper explores two prominent techniques-Kalman filtering and the Fourier transform algorithm-evaluating their measurement performance in measuring aircraft cabin door signals. The results demonstrate that these methods, particularly the Fourier transform algorithm, can effectively extract and measure cabin door signals. This provides an efficient and reliable technical solution for the field of aircraft cabin door signal processing.