太赫兹科学与电子信息学报2017，Vol.15Issue(5)：769-773,5.DOI:10.11805/TKYDA201705.0769
基于贝叶斯压缩感知UWB单站定位方法
UWB single station localization based on Bayesian Compressive Sensing
谢承尧 1王大鸣1
作者信息
- 1. 信息工程大学 信息系统工程学院,河南 郑州 450001
- 折叠
摘要
Abstract
Impulse Radio-Ultra Wideband(IR-UWB) can achieve wireless localization in a higher accuracy, whereas there exists an ADC bottleneck problem. Using Compressive Sensing(CS), signal sampling rate can be significantly reduced. An algorithm based on Bayesian Compressive Sensing(BCS) is proposed with UWB single station for localization. The receiving nodes adopt L-shaped antenna array to sample the signal compressively; the signal could be reconstructed by using BCS algorithm, and the signal delay parameters are estimated. The location information can be solved by the localization algorithm. The simulation results using IEEE 802.15.4a signal model indicate that the proposed method can obtain the positioning accuracy of decimeter level at 20% of the Nyquist sampling rate.关键词
脉冲超宽带/天线阵列/贝叶斯压缩感知/定位Key words
Impulse Radio-Ultra Wideband/antenna array/Bayesian Compressive Sensing/localization分类
信息技术与安全科学引用本文复制引用
谢承尧,王大鸣..基于贝叶斯压缩感知UWB单站定位方法[J].太赫兹科学与电子信息学报,2017,15(5):769-773,5.
