基于分区的距离时间双尺度信道种类识别方法OA

Targeting at the problem of degradation of positioning accuracy caused by non-line-of-sight channels in ultra-wideband indoor positioning systems,in order to recognize the different types of signal transmission channels,a dual-scale channel type identification method is proposed to identify line-of-sight channels,non-organism-blocking channels,and organism-blocking channels by combining the information of distance and time under interference partitioning.The channel features with strong correlation with the signal transmission distance are selected,and the degree of channel feature difference between different types of channels is calculated by combining the swarm intelligent optimization algorithm and the improved SAMME algorithm-SAMME.Q algorithm.In the interference-free region,the channel identification is carried out by combining the channel features of the distance scale and the SAMME.Q algorithm.In the inter-ference-containing region,the channel identification is carried out by means of the temporal information of time scale,i.e.,the distance instantaneous difference triggered at the moment of changing the channel types.In the interference-containing region,the time-scale in-formation,i.e.,the distance transient and other temporal information,is used to make up for the lack of information of the channel fea-tures in the interference region.The test results show that the proposed algorithm achieves an accuracy of more than 97％in both open and office scenarios.