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Research On Indoor Positioning Technology With WiFi And Bluetooth

Posted on:2019-10-24Degree:MasterType:Thesis
Country:ChinaCandidate:Z S HeFull Text:PDF
GTID:2428330548991781Subject:Computer technology
Abstract/Summary:PDF Full Text Request
With the continuous development of science and technology and economy,the technology of Internet of things and its related derivatives have been greatly popularized and popularized.The wireless connection between people and human beings,the wireless connection between human and objects has gradually become a reality.At the same time,people's demand for indoor location through continuous access to location information of IOT equipment has been greatly improved.As we all know,the satellite navigation system can provide high precision real-time position navigation service in the outdoor,but in all kinds of complex indoor environment,satellite signals will be disturbed by many factors,such as building materials,obstacles,indoor structure and so on,and can not enter the room,resulting in the satellite navigation system in the execution room.When a bit is working,the performance will drop dramatically.At the same time,the single indoor positioning technology,often with low precision,poor robustness and so on,can not meet the needs of indoor location service in daily life,such as shopping mall shopping guide,building navigation and so on.The traditional indoor positioning technology is mainly Wi Fi technology and Bluetooth technology,Wi Fi and Bluetooth are widely used in the Internet of things equipment,and the related products are also constantly entering the people's life.Wi Fi technology has the advantages of mature technology,simple network structure,low power,high communication speed and wide coverage,and the non line of sight(NLOS)has a weak influence on Wi Fi.Because of its strong anti-interference ability,good network stability,high speed and high quality data transmission,Wi Fi has a unique advantage in the range of medium and short distance positioning.Bluetooth positioning technology has low level,low energy consumption and good security in the process of data transmission;moreover,it can be connected over a shelter in a certain range.It has no special requirements for the perspective of communication,and supports the transmission of voice data.It has unparalleled advantages in the use of indoor positioning.Therefore,Bluetooth based localization technology has become one of the hot topics in the field of positioning.In this paper,this paper proposed a fusion of Wi Fi and Bluetooth indoor positioning technology,in order to make up for the shortcomings of the single technology,to achieve the advantages of the two technologies complementation,to achieve the effect of "1+1>2".This paper studies the current positioning technology,and expounds their advantages and disadvantages,as well as the rationality of the integration of Wi Fi and Bluetooth technology in indoor positioning.At the same time,this paper is based on the traditional Bluetooth Based naive Bayes probability location algorithm,which is based on the sampling point deployed directly in the actual scene,which will produce a lot of garbage data.In this regard,we propose an improved Bluetooth Based naive Bayes probability location algorithm,which is to screen out high quality sample points before using the naive Bayes probability location algorithm.In the traditional weighted K nearest neighbor WKNN(K-Nearest Weighted Neighbor)algorithm,when the amount of data in the fingerprint database is relatively large,there is a problem of high time complexity.This paper introduces the K-Means algorithm to classify and coaled the data collected from the sample point in the off-line phase,thus effectively avoiding the real-time positioning.Scanning the whole fingerprint database effectively improves the efficiency of location.The fusion and mashup of a variety of technologies will also bring innovation in the field of technology.Based on this idea,this paper proposes an indoor positioning technology that combines Wi Fi and Bluetooth.This strategy can improve the accuracy of indoor positioning,up to more than 17%,and the stability of the positioning.It has also been greatly improved.
Keywords/Search Tags:WiFi, Bluetooth, indoor positioning, fusion, naive Bayes probability, K-Means algorithm
PDF Full Text Request
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