Title:Indoor Distance Measurement Positioning Method Considering BLE Beacon Geometry Optimization
Authors: Bi Jingxue1, Wang Yunjia2, Ning Yipeng1, Guo Qiuying1, Sang Wengang1, Cheng Na1, Yao Guobiao1
Affiliations:
1. Shandong Jianzhu University, School of Surveying and Geo-Informatics, Shandong Jinan 250101;
2. China University of Mining and Technology, School of Environment and Surveying, Jiangsu Xuzhou 221116
Abstract:
Low-power Bluetooth (BLE) indoor positioning is a research hotspot in location services. Existing BLE distance measurement positioning methods rely on received signal strength (RSS), which selects neighboring beacons, easily obtaining signals from distant beacons, leading to large positioning errors. To accurately filter nearby BLE beacons and improve positioning accuracy, a method considering BLE beacon geometry optimization for indoor distance measurement positioning is proposed. First, a path loss model based on least squares is constructed, converting RSS into distance; second, a beacon selection method is proposed, fully considering the prior geometric distribution of beacons; finally, positions are estimated based on different geometric distributions, setting a certain beacon as unavailable for experimentation. Results show that: the average positioning error of the proposed method is 1.436 m, and the root mean square error is 1.139 m, compared to commonly used methods, the average positioning error and root mean square error are reduced by 20.5% and 12.8%, respectively, with the maximum error reduced by 0.706 m. The proposed method can improve BLE indoor positioning accuracy and stability, suppressing large errors.
Keywords: Low-power Bluetooth; Indoor positioning; Received signal strength; Geometry optimization; Path loss model
Citation Format: Bi Jingxue, Wang Yunjia, Ning Yipeng, et al.. Indoor Distance Measurement Positioning Method Considering BLE Beacon Geometry Optimization[J]. Journal of China University of Mining and Technology,2021,50(2):411-416.
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