Abstract
The space-alternating generalized expectation-maximization (SAGE) algorithm provides efficient, accurate indoor channel multipath estimation. This paper describes a multipath-based probabilistic fingerprinting method for indoor positioning that utilizes the channel multipath parameters obtained by the SAGE algorithm as fingerprinting data to achieve better positioning accuracy and robustness. Tests of measurements in a typical indoor environment show that this method is more accurate than traditional indoor positioning methods.
| Original language | English |
|---|---|
| Pages (from-to) | 514-519 and 525 |
| Journal | Qinghua Daxue Xuebao/Journal of Tsinghua University |
| Volume | 55 |
| Issue number | 5 |
| Publication status | Published - 1 May 2015 |
Keywords
- Channel multipath estimation
- Fingerprinting
- Indoor positioning
- Multipath parameters