Speed Adaptive Indoor Human Detection Method Based on Subcarrier Dynamic Selection

In the traditional research method of channel state information, the average value of a certain subcarrier or all subcarriers is usually used as the detection data. In the aspect of speed adaptive human detection, if the human body moves slowly in the detection environment, the influence on the channel state information may be small, resulting in low detection rate. In this paper, in view of the above problems, a speed adaptive indoor human detection method (SAHD) based on subcarrier dynamic selection is proposed. Among them, the method using the characteristics of subcarrier sensitivity difference, judging by the same time dynamic fluctuation of sub carrier selection sub carrier as test data, and analyzes the choice in the feature of channel state information, select the appropriate criteria for moving human body detection. Through comparison experiment, it is proved that SAHD is more accurate than traditional method in human detection at different moving speed.