Research On Indoor Wi-Fi Wireless Channel Enhancement Technology Based On Tunable Scatterers

The development of Wi-Fi（Wireless Fidelity）wireless communication technology has made the interconnection between wireless devices a reality,which has greatly facilitated people’s daily life.However,due to the uncertainty of the indoor wireless environment and the influence of communication obstacles,signal weakening and shadows are inevitable,and the energy utilization rate of wireless channels is low,which makes indoor wireless communication unreliable and reducing the communication service quality of wireless end users,which greatly limits the optimization and development of indoor Wi-Fi wireless communication systems.Therefore,from the perspective of channel regulation,this thesis proposes an indoor Wi-Fi wireless channel enhancement technology based on tunable scatterers,which can resist indoor multipath channel fading and improve Wi-Fi Reliability of Fi communication systems.The specific research contents are as follows:Firstly,the development of Wi-Fi wireless communication technology is introduced,and the advantages of tunable scatterers in integrating into indoor wireless environment and reducing the energy fading of transmission signals are analyzed.Aiming at the complex indoor wireless environment,the transmission characteristics and modeling method of indoor wireless channel are studied,and a new indoor Wi-Fi wireless channel model based on neural network is proposed.Through the calculation of channel parameters,a new idea of using adjustable scatterers to add phase to the wireless channel to enhance channel parameters is developed.Secondly,based on the reflection characteristics of tunable scatterers to electromagnetic waves,combined with the channel transmission characteristics of the indoor Wi-Fi wireless environment,a Dropout cross-layer neural network tunable scattering channel model is established on the Matlab platform.Using the space vector method to encode the tunable scatterer array,the attenuation characteristics of the indoor wireless channel with distance are analyzed by simulation,and the effective regulation of the wireless channel by the tunable scatterer is verified.Aiming at the problem of state conflict of tunable scatterer elements caused by multi-point transmission channels,a multi-point enhancement optimization algorithm is proposed in this thesis.Through global regulation,the algorithm takes into account multiple transmitters and receivers simultaneously,which ensures multi-point energy focusing and broadband channel parameter improvement,and greatly improves the communication quality of Wi-Fi.Finally,based on the designed 1bit adjustable scatterer and wireless channel model,a field experiment platform was built to complete the Wi-Fi wireless channel enhancement test of Multiple-Input Single-Output（MISO）and Multiple-Input Multiple-Output（MIMO）systems.The feasibility of improving channel parameters,increasing receiving power and multi-point broadband focusing through the adjustable scatterer in indoor Wi-Fi wireless channel was verified.The indoor Wi-Fi wireless channel enhancement technology based on the adjustable scatterer proposed in this thesis can effectively solve the technical problems such as high attenuation of Wi-Fi link,low utilization rate of channel energy and poor communication quality,and provide a new way for the optimization of Wi-Fi wireless communication system in the future.At the same time,it provides strong technical support for intelligent factory,smart home and other information applications,which has important research significance and practical application value.