Reference selection for hybrid TOA/RSS linear least squares localization
文献类型：会议论文
| 作者 | Wang, Yue; Zheng, Feng; Wiemeler, Michael; Xiong, Weiming; Kaiser, Thomas |
| 出版日期 | 2013 |
| 会议名称 | 2013 IEEE 78th Vehicular Technology Conference, VTC Fall 2013 |
| 会议日期 | September 2, 2013 - September 5, 2013 |
| 会议地点 | Las Vegas, NV, United states |
| 关键词 | hybrid localization received-signal-strength (RSS) reference selection time-of-arrival (TOA) ultra-wideband (UWB) weighted linear least squares (WLLS) |
| 中文摘要 | Linear least squares (LLS) estimation is a suboptimum but low-complexity localization method based on measurements of location-related parameters. It has been proved that selection of the reference anchor influences the LLS localization accuracy. In addition, hybridization of different types of measurements can fix the deficiencies of one type of measurements. In this paper, we proposed a new reference selection criterion for the hybrid TOA/RSS LLS localization technique (called H-LLSRS), which considers both measured ranges and the information about their coarse variances. Moreover, we consider a general scenario that variances of range measurements are different, and derive a weighted LLS (WLLS) estimator for hybrid TOA/RSS localization according to the information about the accurate ranging variances and the correlations among the observations. Simulation results show that if the RSS-based ranging variances are considerably larger than the TOA-based ranging variances, the H-LLS-RS localization technique yields better accuracy than the conventional LLS localization techniques. Furthermore, reference selection has no effect on the accuracy of WLLS localization technique. |
| 英文摘要 | Linear least squares (LLS) estimation is a suboptimum but low-complexity localization method based on measurements of location-related parameters. It has been proved that selection of the reference anchor influences the LLS localization accuracy. In addition, hybridization of different types of measurements can fix the deficiencies of one type of measurements. In this paper, we proposed a new reference selection criterion for the hybrid TOA/RSS LLS localization technique (called H-LLSRS), which considers both measured ranges and the information about their coarse variances. Moreover, we consider a general scenario that variances of range measurements are different, and derive a weighted LLS (WLLS) estimator for hybrid TOA/RSS localization according to the information about the accurate ranging variances and the correlations among the observations. Simulation results show that if the RSS-based ranging variances are considerably larger than the TOA-based ranging variances, the H-LLS-RS localization technique yields better accuracy than the conventional LLS localization techniques. Furthermore, reference selection has no effect on the accuracy of WLLS localization technique. Copyright © 2013 by the Institute of Electrical and Electronic Engineers, Inc. |
| 收录类别 | EI |
| 会议录 | IEEE Vehicular Technology Conference
 |
| 会议录出版者 | Institute of Electrical and Electronics Engineers Inc., 445 Hoes Lane / P.O. Box 1331, Piscataway, NJ 08855-1331, United States |
| 学科主题 | 空间技术 |
| 语种 | 英语 |
| ISSN号 | 1550-2252 |
| ISBN号 | 9781467361873 |
| 源URL | [http://ir.cssar.ac.cn/handle/122/570]  |
| 专题 | 国家空间科学中心_空间技术部 |
| 推荐引用方式 GB/T 7714 | Wang, Yue,Zheng, Feng,Wiemeler, Michael,et al. Reference selection for hybrid TOA/RSS linear least squares localization[C]. 见:2013 IEEE 78th Vehicular Technology Conference, VTC Fall 2013. Las Vegas, NV, United states. September 2, 2013 - September 5, 2013. |
入库方式： OAI收割
来源：国家空间科学中心
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