Abstract
Aiming at the shortcomings of the existing indoor location algorithm, such as low accuracy of positioning, high deployment and maintenance cost, and unstable robustness, this paper proposes a method of indoor location based on the integration of smartphone with WiFi and magnetic field using multi-sensor fusion. In the initial stages of positioning, rough location is achieved by Wi-Fi-RSSI fingerprints which provides an initial location and geomagnetic matching area for indoor positioning based on particle filter magnetic field matching. This paper proposes the use of median filter algorithm to deal with the original magnetic field data and covariance interpolation algorithm to generate magnetic field map, and effectively reduce the interference which caused by geomagnetic fluctuations, thereby it will improves the positioning accuracy. Finally, through conducting comprehensive experiments and tests, the results show that the proposed technique can reliably achieve 0.836 meters precision in current experimental environment.
Highlights
As the most people spend 70% to 90% of their time using mobile location-based services (LBS) in indoor environments, the need for indoor location technology is increasing and becoming critical
Aiming at the shortcomings of the existing indoor location algorithm, such as low accuracy of positioning, high deployment and maintenance cost, and unstable robustness, this paper proposes a method of indoor location based on the integration of smartphone with WiFi and magnetic field using multisensor fusion
In the initial stages of positioning, rough location is achieved by WiFi-RSSI fingerprints which provides an initial location and geomagnetic matching area for indoor positioning based on particle filter magnetic field matching
Summary
As the most people spend 70% to 90% of their time using mobile location-based services (LBS) in indoor environments, the need for indoor location technology is increasing and becoming critical. Using of the magnetic field in the indoor environment, unique, stability and the difference between different regions to achieve positioning become possible. Due to the complexity of the indoor environment, all kinds of technology have limitations, so many indoor positioning methods are difficult to achieve a wide range of popularization. It can achieve the goal of low cost, high precision, favorable timeliness and strong universality by merging the multi-indoor positioning technology, taking advantage of various methods and complementing the deficiency [7]. The magnetic matching region is selected by the RSSI positioning result It is precisely positioned by the geomagnetic field. This combination method can effectively overcome the positioning error caused by multipath effect of RSSI and solve the problem of too slow convergence rate of particle filter in magnetic field localization
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