Compressed sensing grid-based target stepwise location method in underground tunnel
Compressed sensing grid-based target stepwise location method in underground tunnel
复制标题
基于压缩感知网格的地下隧道目标逐步定位方法
DOI：
10.1108/sr-12-2019-0303
复制
发表时间：
2020-04
期刊：
影响因子：
1.6
通讯作者：
Wang XuQi
中科院分区：
文献类型：
--
作者：
Tian ZiJian;Gong XiaoWei;He FangYuan;He JiaLuan;Wang XuQi
目的
Purpose
To solve the problem that the traditional received signal strength indicator real-time location method does not test the attenuation characteristics of the electromagnetic wave transmission in the location area, which cannot guarantee the accuracy of the location, resulting in a large location error.
Design/methodology/approach
At present, the compressed sensing (CS) reconstruction algorithm can be roughly divided into the following two categories (Zhouzhou and Fubao, 2014; Lagunas et al., 2016): one is the greedy iterative algorithm proposed for combinatorial optimization problems, which includes matching pursuit algorithm (MP), positive cross matching tracking algorithm (OMP), greedy matching tracking algorithm, segmented orthogonal matching tracking algorithm (StOMP) and so on. The second kind is the convex optimization algorithm, which also called the optimization approximation method. The common method is the basic tracking algorithm, which uses the norm instead of the norm to solve the optimization problem. In this paper, based on the piecewise orthogonal MP algorithm, the improved StOMP reconstruction algorithm is obtained.
Findings
In this paper, the MP algorithm (OMP), the StOMP and the improved StOMP algorithm are used as simulation reconstruction algorithms to achieve the comparison of location performance. It can be seen that the estimated position of the target is very close to the original position of the target. It is concluded that the CS grid-based target stepwise location method in underground tunnel can accurately locate the target in such specific region.
Originality/value
In this paper, the offline fingerprint database in offline phase of location method is established and the measurement of the electromagnetic noise distribution in different localization areas is considered. Furthermore, the offline phase shares the work of the location process, which greatly reduces the algorithm complexity of the online phase location process and the power consumption of the reference node, meanwhile is easy to implement under the same conditions, as well as conforms to the location environment.
登录
查看更多内容
影响因子：
--
作者：
Wang Ting-tin
通讯作者：
Wang Ting-tin
DOI：
10.11896/j.issn.1002-137x.2016.11.031
发表时间：
2016
期刊：
计算机科学
影响因子：
--
作者：
Yan Guo;Peng Qian;Ning Li;Baoming Sun
通讯作者：
Yan Guo;Peng Qian;Ning Li;Baoming Sun
DOI：
10.13700/j.bh.1001-5965.2016.0074
发表时间：
2017-01
期刊：
Journal of Beijing University of Aeronautics and Astronautics
影响因子：
--
作者：
Gu Xiaopeng;Xie Shuguo;Hao Xuchun
通讯作者：
Gu Xiaopeng;Xie Shuguo;Hao Xuchun
DOI：
--
发表时间：
2012
期刊：
Journal of Nanjing University of Posts and Telecommunications
影响因子：
--
作者：
Yuan Zhi-jun
通讯作者：
Yuan Zhi-jun
DOI：
10.1109/icassp.2016.7472274
发表时间：
2016-03
期刊：
2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
影响因子：
--
作者：
E. Lagunas;S. Sharma;S. Chatzinotas;B. Ottersten
通讯作者：
E. Lagunas;S. Sharma;S. Chatzinotas;B. Ottersten