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Research Of Indoor Positioning Technology Based On Embedded Sensors

Posted on:2015-08-15Degree:MasterType:Thesis
Country:ChinaCandidate:Y B OuFull Text:PDF
GTID:2298330452459595Subject:Computer technology
Abstract/Summary:PDF Full Text Request
With the rapid development of mobile communication technology, the demandincreases in term of the need for Location-based Service. The core technology of LBSis positioning, high-precision positioning technology has a crucial role for LBS,high-positioning indoor positioning applications can bring more convenient andreliable service to people’s daily lives. Traditional GPS positioning technologyprovide a high positioning accuracy (10m) in an open outdoor, however, whenentering into indoor, due to the positioning signal attenuation, interference, block andother reasons, the receiver positioning accuracy will become poor, GPS positioningwill become useless. In order to obtain a continuous navigation and positioning results,we must make use of other positioning enhancement technology. Currently there aremany popular indoor positioning technologies, but they have their own advantagesand disadvantages, how to improve the indoor positioning precision is the focus ofcurrent research.The main purpose of this project is take advantage of the embedded sensors insmart mobile terminals for indoor positioning. Dead reckoning method can be usedfor continuous and seamless positioning, which involves three key elements: thenumber of steps, stride length and walking orientation. By inertial sensors(accelerometer, orientation sensor) can we get step count and walking orientation, thewaist track while walking similar to an inverted pendulum model, we can useaccelerometer to calculate the step length.Finally, in order to further improve the accuracy of dead reckoning, we proposedfusion algorithm based on Kalman filtering. For more accurate heading, this paperpresents a heading estimate method by fusing gyroscope and electronic compass. Thispaper designed and implemented an indoor positioning system based on theembedded sensor, and experimental results showed that the algorithm can obtain ahigh accuracy positioning results, which can better achieve continuous, seamless andhigh-precision indoor positioning.
Keywords/Search Tags:Location-based Service, indoor positioning, embedded sensors, dead reckoning, Kalman filtering
PDF Full Text Request
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