التفاصيل البيبلوغرافية
| العنوان: |
An Indoor Pedestrian Positioning Method Using HMM with a Fuzzy Pattern Recognition Algorithm in a WLAN Fingerprint System |
| المؤلفون: |
Yepeng Ni, Jianbo Liu, Shan Liu, Yaxin Bai |
| المصدر: |
Sensors; Volume 16; Issue 9; Pages: 1447 |
| بيانات النشر: |
Multidisciplinary Digital Publishing Institute |
| سنة النشر: |
2016 |
| المجموعة: |
MDPI Open Access Publishing |
| مصطلحات موضوعية: |
pedestrian positioning, fuzzy pattern recognition algorithm, RSSI variation trend, hidden markov model, smartphone, fingerprint system |
| الوصف: |
With the rapid development of smartphones and wireless networks, indoor location-based services have become more and more prevalent. Due to the sophisticated propagation of radio signals, the Received Signal Strength Indicator (RSSI) shows a significant variation during pedestrian walking, which introduces critical errors in deterministic indoor positioning. To solve this problem, we present a novel method to improve the indoor pedestrian positioning accuracy by embedding a fuzzy pattern recognition algorithm into a Hidden Markov Model. The fuzzy pattern recognition algorithm follows the rule that the RSSI fading has a positive correlation to the distance between the measuring point and the AP location even during a dynamic positioning measurement. Through this algorithm, we use the RSSI variation trend to replace the specific RSSI value to achieve a fuzzy positioning. The transition probability of the Hidden Markov Model is trained by the fuzzy pattern recognition algorithm with pedestrian trajectories. Using the Viterbi algorithm with the trained model, we can obtain a set of hidden location states. In our experiments, we demonstrate that, compared with the deterministic pattern matching algorithm, our method can greatly improve the positioning accuracy and shows robust environmental adaptability. |
| نوع الوثيقة: |
text |
| وصف الملف: |
application/pdf |
| اللغة: |
English |
| Relation: |
Physical Sensors; https://dx.doi.org/10.3390/s16091447 |
| DOI: |
10.3390/s16091447 |
| الاتاحة: |
https://doi.org/10.3390/s16091447 |
| Rights: |
https://creativecommons.org/licenses/by/4.0/ |
| رقم الانضمام: |
edsbas.3EAB24A7 |
| قاعدة البيانات: |
BASE |