This study explores the design and implementation of wireless access and indoor positioning systems based on deep learning.In the context of increasingly complex modern wireless communication networks,this system integrates various technologies,including data collection,preprocessing,convolutional neural network model training and decision output,to achieve precise positioning and secure access control for indoor users.Through a detailed analysis of the system architecture design and key technology implementation,the study demonstrates the effectiveness of deep learning technology in improving wireless network management efficiency and positioning accuracy.The results show that the system can not only improve network security,but also accurately control the user location in indoor environments,demonstrating its wide application prospects.
关键词
深度学习/无线准入/室内定位技术
Key words
Deep learning/Wireless access/Indoor positioning technology
维普
万方数据