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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Shih-Hau Fang Ying-Tso Hsu Bo-Cheng Lu Wen-Hsing Kuo |
| Copyright Year | 2012 |
| Abstract | Received power in cellular networks is commonly employed in mobile localization systems. However, uncertainties in power-distance mapping and dynamics of propagation models challenge the performance of the positioning system. Although collecting realistic data in the target area may reduce the uncertainties, it requires a time-consuming site survey and high-cost labor efforts. This study proposes a novel algorithm to enhance the performance of mobile localization without the need of additional calibration effort. The proposed algorithm utilizes the pairwise information between base stations (BSs), which is assumed to be available, and then localizes the user based on multidimensional scaling. Unlike traditional methods, the proposed approach further considers the geometric structure between BSs to compensate for the problem of distance estimation, thus achieving more accurate location estimations. We applied this approach in a realistic GSM network and experimental results demonstrate the effectiveness of our approach. The proposed algorithm outperforms previous calibration-free positioning methods, including Cell-ID and enhanced Cell-ID, in reducing the mean error by 16.74%-38.56% and 18.22%-20.96%, respectively. |
| Starting Page | 1 |
| Ending Page | 5 |
| File Size | 389612 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781467309899 |
| ISSN | 15502252 |
| e-ISBN | 9781467309905 |
| e-ISBN | 9781467309882 |
| DOI | 10.1109/VETECS.2012.6240087 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2012-05-06 |
| Publisher Place | Japan |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Mobile communication Mobile handsets Mobile computing Estimation GSM Wireless sensor networks Transforms |
| Content Type | Text |
| Resource Type | Article |
| Subject | Applied Mathematics Electrical and Electronic Engineering Computer Science Applications |
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