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Journal of Computers EIMEDLINEScopus

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篇名 Bluetooth Indoor Positioning and Correction Method Based on Matrix Completion and Compressed Sensing
卷期 31:3
作者 Gang Yang 、 Yawen Chai 、 Lu Han
頁次 100-114
關鍵字 Bluetooth low energy 、 compressed sensing 、 fingerprint localization 、 indoor positioning 、 matrix completion 、 EI 、 MEDLINE 、 Scopus
出刊日期 202006
DOI 10.3966/199115992020063103008

中文摘要

英文摘要

Based on the received signal strength indication of Bluetooth low energy, a new fingerprint positioning method is proposed, which does not need to collect too many data points to establish fingerprint database and can correct the positioning error in time. In the offline stage, the low-rank matrix completion theory is used to recover a fingerprint database with only a small number of collection points; in the online stage, after clustering and matching the fingerprint database, the localization problem is transformed into compressed sensing model, and the localization result is obtained by solving the optimization problem. Experiment shows that the proposed positioning method can effectively reduce about 40% workload of early data acquisition and reduce the positioning error to 0.7m. Compared with the traditional KNN matching algorithm, the complexity of the algorithm is reduced and the accuracy is improved.

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