3-D BLE Indoor Localization Based on Denoising Autoencoder.
文献类型：期刊论文
| 作者 | Xiao, Chao ; Yang, Daiqin ; Chen, Zhenzhong ; Tan, Guang |
| 刊名 | IEEE ACCESS
 |
| 出版日期 | 2017 |
| 文献子类 | 期刊论文 |
| 英文摘要 | Bluetooth low energy (BLE)-based indoor localization has attracted increasing interests for its low-cost, low-power consumption, and ubiquitous availability in mobile devices. In this paper, a novel denoising autoencoder-based BLE indoor localization (DABIL) method is proposed to provide high-performance 3-Dpositioning in large indoor places. A deep learning model, called denoising autoencoder, is adopted to extract robust fingerprint patterns from received signal strength indicator measurements, and a fingerprint database is constructed with reference locations in 3-D space, rather than traditional 2-D plane. Field experiments show that 3-D space fingerprinting can effectively increase positioning accuracy, and DABIL performs the best in terms of both horizontal accuracy and vertical accuracy, comparing with a traditional fingerprinting method and a deep learning-based method. Moreover, it can achieve stable performance with incomplete beacon measurements due to unpredictable BLE beacon lost. |
| URL标识 | 查看原文 |
| 语种 | 英语 |
| 源URL | [http://ir.siat.ac.cn:8080/handle/172644/12548]  |
| 专题 | 深圳先进技术研究院_数字所 |
| 作者单位 | IEEE ACCESS |
| 推荐引用方式 GB/T 7714 | Xiao, Chao , Yang, Daiqin , Chen, Zhenzhong ,et al. 3-D BLE Indoor Localization Based on Denoising Autoencoder.[J]. IEEE ACCESS,2017. |
| APA | Xiao, Chao , Yang, Daiqin , Chen, Zhenzhong ,& Tan, Guang.(2017).3-D BLE Indoor Localization Based on Denoising Autoencoder..IEEE ACCESS. |
| MLA | Xiao, Chao ,et al."3-D BLE Indoor Localization Based on Denoising Autoencoder.".IEEE ACCESS (2017). |
入库方式： OAI收割
来源：深圳先进技术研究院
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