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Jingxue Bi, Lu Huang, Hongji Cao, Guobiao Yao, Wengang Sang, Jie Zhen and Yuying Liu
Many indoor fingerprinting localization methods are based on signal-domain distances with large localization error and low stability. An improved fingerprinting localization method using a clustering algorithm and dynamic compensation was proposed. In th...
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Yankun Wang, Renzhong Guo, Weixi Wang, Xiaoming Li, Shengjun Tang, Wei Zhang, Luyao Wang, Liang Chen, You Li and Wenqun Xiu
Indoor positioning is of great importance in the era of mobile computing. Currently, considerable focus has been on RSS-based locations because they can provide position information without additional equipment. However, this method suffers from two chal...
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Da Li, Yingke Lei, Xin Li and Haichuan Zhang
Wi-Fi and magnetic field fingerprinting-based localization have gained increased attention owing to their satisfactory accuracy and global availability. The common signal-based fingerprint localization deteriorates due to well-known signal fluctuations. ...
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Chunjing Song and Jian Wang
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