WLAN Fingerprint Location Database Construction Technology Based On Deep Learning

In recent years,personal intelligent terminals have developed rapidly,and devices such as mobile phones and tablet computers have gradually gained popularity among the public,which has led to a rapid increase in the demand for location based services(LBS),especially indoor positioning.The technologies and methods currently used for indoor positioning mainly include Wireless Local Area Networks(WLAN),Radio Frequency Identification(RFID),Bluetooth(BT),Zigbee,and Ultra Wide Band(UWB).)and other programs.Among them,WLAN fingerprint location technology is widely used because it does not require additional equipment and has low cost of use.However,the WLAN fingerprint location technology needs to measure a large number of reference points(RPs)in the offline phase,which will consume a lot of manpower and material resources and a large workload.To solve this problem,this paper proposes a deep learning-based WLAN fingerprint location database construction technology.This paper first introduces the related technical methods of indoor positioning,and focuses on the systematic introduction of WIFI fingerprint positioning technology.After that,the algorithm and application of deep learning are introduced.By comparing the characteristics of various neural networks,according to the characteristics of WIFI fingerprint location,Deep Belief Network(DBN)and Counter Propagation Network(CPN)are selected.)research.Then,by analyzing the characteristics of traditional DBN and CPN algorithms and the relationship with WIFI fingerprint location,an improved method for traditional DBN and CPN networks is proposed,and the improved algorithm is implemented.Finally,the published WIFI fingerprint positioning data set is introduced,and compared with other traditional neural network algorithms in this data set,it is verified that the algorithm has short training time and good construction effect in the construction of WLAN fingerprint location database.advantage.Finally,this paper summarizes the paper and puts forward some directions that can be improved in the current research and the future prospects of this research field.