Research And Implementation Of Bluetooth-based Fusion Positioning Subsystem In Complex Office Environment

In the current technological era,indoor positioning technology has become an inseparable part of human intelligent production life.The application of indoor positioning technology needs to consider various factors,such as positioning accuracy,positioning cost,deployment operation,etc.The traditional positioning technology based on Bluetooth fingerprint has some problems such as low positioning accuracy and heavy sampling work,etc.The Bluetooth 5.1 version launched in early 2019 added the "direction finding" function,which can help the receiver to clarify the direction of the Bluetooth signal,and two new Bluetooth positioning technologies were born--AOA(Angle of Arrival)and AOD(Angle of Departure).These two positioning techniques are more accurate than traditional fingerprint positioning,and do not require sampling.However,there still exists limitations in the development of these two positioning technologies,such as greater positioning costs and the complexity of the indoor environment,which are not conducive to the promotion of applications in complex office scenarios.The exploration of high-precision Bluetooth positioning methods is still necessary for complex office environments.In this paper,a Bluetooth fusion localization subsystem is studied and implemented based on the existing fusion localization system in the laboratory.With the help of adversarial neural network,this paper designs and implements a new Bluetooth fingerprint localization algorithm to improve the problem of low accuracy and heavy sampling work of Bluetooth fingerprint technology.This paper implements a least squares based Bluetooth AOA coordinate calculation method and fuses Bluetooth AOA localization with Bluetooth fingerprint localization to improve the problem of high cost and accuracy limited by the environment of Bluetooth AOA technology localization.According to the software engineering development process,this paper proposes the functional requirements and performance indicators of the positioning system,determine the overall system architecture,clarify the technology selection,and complete the database design and other work in the analysis and design phase to address the positioning technology pain points.In the research and implementation phase,this paper describes the positioning algorithms used in the system thoroughly,and the finalized positioning subsystem and related functional modules.The testing phase is to perform functional and performance acceptance of the completed positioning system,identify problems and correct defects.The finalized Bluetooth fusion positioning subsystem can provide three positioning strategies,single fingerprint,single AOA positioning,and fusion positioning of both.After pre-implementation and post-testing,the positioning system performs well,and the positioning accuracy and positioning latency meet the general indoor positioning requirements,which has commercial value and provides a practical reference solution for Bluetooth positioning technology.