http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
Wireless Channel Identification Algorithm Based on Feature Extraction and BP Neural Network
Li, Dengao,Wu, Gang,Zhao, Jumin,Niu, Wenhui,Liu, Qi Korea Information Processing Society 2017 Journal of information processing systems Vol.13 No.1
Effective identification of wireless channel in different scenarios or regions can solve the problems of multipath interference in process of wireless communication. In this paper, different characteristics of wireless channel are extracted based on the arrival time and received signal strength, such as the number of multipath, time delay and delay spread, to establish the feature vector set of wireless channel which is used to train backpropagation (BP) neural network to identify different wireless channels. Experimental results show that the proposed algorithm can accurately identify different wireless channels, and the accuracy can reach 97.59%.
Wireless Channel Identification Algorithm Based on Feature Extraction and BP Neural Network
( Dengao Li ),( Gang Wu ),( Jumin Zhao ),( Wenhui Niu ),( Qi Liu ) 한국정보처리학회 2017 Journal of information processing systems Vol.13 No.1
Effective identification of wireless channel in different scenarios or regions can solve the problems of multipath interference in process of wireless communication. In this paper, different characteristics of wireless channel are extracted based on the arrival time and received signal strength, such as the number of multipath, time delay and delay spread, to establish the feature vector set of wireless channel which is used to train backpropagation (BP) neural network to identify different wireless channels. Experimental results show that the proposed algorithm can accurately identify different wireless channels, and the accuracy can reach 97.59%.