In order to eliminate the noise interference to passengers caused by high-speed operation of trains

usage of active noise reduction control technology is an effective solution. The active noise control system has high sensitivity to the position of the measured target. In order to improve the noise reduction effect of the system

it is necessary to accurately obtain the position of the human head. In order to cooperate with the active noise control system in the high-speed sleeper compartment

a human head positioning system based on infrared sensor array is designed

and the Kalman filtering algorithm is used to realize the real-time tracking detection of the human head position in the local space.