| 講演抄録／キーワード |
| 講演名 |
2018-10-31 13:25
［ポスター講演］Development of an Indoor Positioning System using Ultra-Wideband and Kalman Filtering Post-Processing
○Hashini Maldeniya・Attaphongse Taparugssanagorn（AIT） |
| 抄録 |
（和） |
Indoor positioning considered as one of the research areas which is popular at present in both research and industry. Many fields including military services, health-care applications, search and rescue, tracking and navigation, banking and also gaming fields are benefited from having precise localization information. But traditional locating systems like GPS which support to locate the outdoor environment very accurately are not available to use in indoor environments. Therefore, alternative solutions have to be applied.
Ultra-Wideband (UWB) technology is a good solution for positioning in indoor environment. Since UWB has a large bandwidth, it helps to distinguish the different multipath components which is unique for UWB. These components accurately estimate the Time of Fight (ToF), which is required for positioning and it contains relevant information. In this way, an accuracy up to centimeter level in the real time positioning can be obtained even though the environment contains some disturbances. When locating the user in the indoor environment, Kalman filter is one of the best filters that can be used to increase the accuracy. Kalman filter helps to minimize the error percentage between calculated position and the actual position. |
| （英） |
Indoor positioning considered as one of the research areas which is popular at present in both research and industry. Many fields including military services, health-care applications, search and rescue, tracking and navigation, banking and also gaming fields are benefited from having precise localization information. But traditional locating systems like GPS which support to locate the outdoor environment very accurately are not available to use in indoor environments. Therefore, alternative solutions have to be applied.
Ultra-Wideband (UWB) technology is a good solution for positioning in indoor environment. Since UWB has a large bandwidth, it helps to distinguish the different multipath components which is unique for UWB. These components accurately estimate the Time of Fight (ToF), which is required for positioning and it contains relevant information. In this way, an accuracy up to centimeter level in the real time positioning can be obtained even though the environment contains some disturbances. When locating the user in the indoor environment, Kalman filter is one of the best filters that can be used to increase the accuracy. Kalman filter helps to minimize the error percentage between calculated position and the actual position. |
| キーワード |
（和） |
Indoor Positioning / Ultra-Wideband / Trilateration / Kalman filter / Real-time positioning / Decawave Trek 1000 / Anchors / Tag |
| （英） |
Indoor Positioning / Ultra-Wideband / Trilateration / Kalman filter / Real-time positioning / Decawave Trek 1000 / Anchors / Tag |
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