| Guo Ruolin (郭若琳),Qin Danyang,Zhao Min,Xu Guangchao.[J].高技术通讯(英文),2020,26(4):390~401 |
|
| An effective indoor radio map construction scheme based on crowdsourced samples |
| |
| DOI：10.3772/j.issn.1006-6748.2020.04.006 |
| 中文关键词: |
| 英文关键词: localization fingerprint, crowdsourced samples, radio map, fingerprint interpolation |
| 基金项目: |
| Author Name | Affiliation | | Guo Ruolin (郭若琳) | (Provincial Key Laboratory of Electronic Engineering, Heilongjiang University, Harbin 150080, P.R.China) | | Qin Danyang | (Provincial Key Laboratory of Electronic Engineering, Heilongjiang University, Harbin 150080, P.R.China) | | Zhao Min | (Provincial Key Laboratory of Electronic Engineering, Heilongjiang University, Harbin 150080, P.R.China) | | Xu Guangchao | (Provincial Key Laboratory of Electronic Engineering, Heilongjiang University, Harbin 150080, P.R.China) |
|
| Hits: 1695 |
| Download times: 1484 |
| 中文摘要: |
| |
| 英文摘要: |
| The crowdsourcing-based WLAN indoor localization system has been widely promoted for the effective reduction of the workload from the offline phase data collection while constructing radio maps. Aiming at the problem of the inaccurate location annotation of the crowdsourced samples, the existing invalid access points (APs) in collected samples, and the uneven sample distribution, as well as the diverse terminal devices, which will result in the construction of the wrong radio map, an effective WLAN indoor radio map construction scheme (WRMCS) is proposed based on crowdsourced samples. The WRMCS consists of 4 main modules: outlier detection, key AP selection, fingerprint interpolation, and terminal device calibration. Moreover, an online localization algorithm is put forward to estimate the position of the online test fingerprint. The simulation results show that the proposed scheme can achieve higher localization accuracy than the peer schemes, and possesses good effectiveness and robustness at the same time. |
|
View Full Text
View/Add Comment Download reader |
| Close |
|
|
|
