Dual-modal Indoor Mobile Localization System based on Prediction Algorithm
文献类型：会议论文
| 作者 | Lujia Wang; Chao Hu; Jinkuan Wang; Longqiang Tian; Max Q.-H. Meng |
| 出版日期 | 2009 |
| 会议名称 | 2009 IEEE International Conference on Information and Automation, ICIA 2009 |
| 会议地点 | Shenzhen, China |
| 英文摘要 | Object localization defines an important application for wireless sensor networks. In this paper, we present a hybrid of dual-modal mobilelocalization system to support the object tracking in indoor environment. In order to decrease the system cost and simplify the sensor deployment, we implement the localization by the received radio signal strength approach and the unscented Kalman filter (SPKF) algorithm in active and passive dual-modal architecture. We realize the system by employing the wireless sensor network and the LAN medium Zigbee/802.15.4. Experimental results demonstrate that the hybrid mobile localization system can significantly improve the localization accuracy and robustness, and reduce the cost of communication among sensor nodes while mobile user is moving in the indoor environments. |
| 收录类别 | EI |
| 语种 | 英语 |
| 源URL | [http://ir.siat.ac.cn:8080/handle/172644/2475]  |
| 专题 | 深圳先进技术研究院_集成所 |
| 作者单位 | 2009 |
| 推荐引用方式 GB/T 7714 | Lujia Wang,Chao Hu,Jinkuan Wang,et al. Dual-modal Indoor Mobile Localization System based on Prediction Algorithm[C]. 见:2009 IEEE International Conference on Information and Automation, ICIA 2009. Shenzhen, China. |
入库方式： OAI收割
来源：深圳先进技术研究院
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