A linear state model for PDR+WLAN positioning
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review
Details
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the 2013 Conference on Design and Architectures for Signal and Image Processing DASIP Cagliari, Italy, October 8-10, 2013 |
| Editors | Adam Morawiec, Jinnie Hinderscheit |
| Place of Publication | Belmont France |
| Publisher | European Electronic Chips & Systems Design Initiative (ECSI) |
| Pages | 113-118 |
| Number of pages | 6 |
| ISBN (Electronic) | 979-10-92279-01-6 |
| ISBN (Print) | 979-10-92279-02-3 |
| Publication status | Published - 2013 |
| Publication type | A4 Article in a conference publication |
Publication series
| Name | Conference on Design and Architectures for Signal and Image Processing |
|---|---|
| Publisher | European Electronic Chips & Systems Design Initiative (ECSI) |
| ISSN (Print) | 1966-7116 |
Abstract
Indoor positioning based on WLAN signals is often enhanced using pedestrian dead reckoning (PDR) based on an inertial measurement unit. The state evolution model in PDR is usually nonlinear. We present a new linear state evolution model for PDR. In simulated-data and real-data tests of tightly coupled WLAN-PDR positioning, we find that the positioning accuracy with this linear model is almost as good as with traditional models when the initial state is known, and better when the initial state is not known. The proposed method is computationally light and is also suitable for smoothing.
Publication forum classification
Field of science, Statistics Finland
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