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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Yun-qi Zhu Dong-xiu Ou Tuo Shen |
| Copyright Year | 2014 |
| Description | Author affiliation: Key Lab. of Road & Traffic Eng, Tongji Univ., Shanghai, China (Yun-qi Zhu; Dong-xiu Ou; Tuo Shen) |
| Abstract | WLAN has become popular in recent years because of the universality and economy. It has a large prospect of the application on the positioning technology in indoor places. However it is difficult for the traditional indoor positioning method based on WIFI to adapt to the changing environment in public places. In order to remedy the defect, this paper proposed a real-time online adaptive fingerprint positioning algorithm. The probabilistic method of Bayesian estimation is applied to the underlying algorithm. Then the positioning process proposed in this paper will include the real-time reduction of the fingerprint vectors 'dimension based on Fisher criterion and besides, and dynamically filtering out the probably grids by the K-means theory during the online phase. Hence it makes possible to adjust the number of grids and their corresponding fingerprint vectors dynamically which will be used for the calculation of probability later. Field tests showed that, compared with the traditional nearest neighbor method, the average distance error of the algorithm was smaller while still maintaining acceptable efficiency of computation to meet public traveler' needs. |
| Starting Page | 1515 |
| Ending Page | 1520 |
| File Size | 617889 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781479960781 |
| DOI | 10.1109/ITSC.2014.6957648 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2014-10-08 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Fingerprint recognition Databases Vectors Clustering algorithms Algorithm design and analysis Probability Floors |
| Content Type | Text |
| Resource Type | Article |
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