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Research And Implementation Of Indoor Navigation Based On Smart Phone

Posted on:2018-05-07Degree:MasterType:Thesis
Country:ChinaCandidate:Y T LiFull Text:PDF
GTID:2348330518993389Subject:Computer Science and Technology
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With the rapid development of mobile devices,location-based services(LBS) has become an integral part of daily life. Due to the occlusion of the building, the user's location cannot be accurately obtained through the GPS within the building. .Therefore, researchers undertake a wide range of exploration and research for the indoor navigation techniques, and then put forward a series of related solutions.Recently, the scheme of inertial navigation with landmark rectification is gaining much attention because of its good performance in accuracy. Specifically, the inertial navigation calculate the user's real-time location through the sensor data generated in the process of walking.Simultaneously, landmarks can rectify the accumulative error of the inertial navigation to improve the accuracy of the navigation system.Currently, there are many types of landmarks, including WiFi, infrared,Bluetooth, swarm intelligence landmarks, and so on. Based on the analysis of many indoor navigation schemes,we implement a navigation system by combining the inertial navigation and iBeacon rectification on smart phones. The iBeacon, which is a kind of blue-tooth low energy(BLE) device is chosen as the landmark in our navigation system.Moreover, an adaptive learning algorithm is proposed to adjust the parameters of the navigation system, which can continuously improve the accuracy of the navigation system. The low power consumption and low cost of the iBeacon can ensure the system's long-time operation without extra maintenance, which enhances the practicality of the system.In this thesis, we design and implement an indoor navigation SDK based on the above indoor navigation scheme. Besides, we develop a 4G mobile signal acquisition application to verify the indoor navigation system. The results show that the combination of inertial navigation and iBeacon rectification can limit the location deviation to 3 meters in 90%of cases, which meeting the requirements of indoor services, such as parking car service, or navigation services in supermarket, museums and other venues. In summary, our system has a good practicability and application prospect.
Keywords/Search Tags:indoor navigation, inertial navigation, landmark, blue-tooth low energy(BLE), adaptive algorithm
PDF Full Text Request
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