|Table of Contents|

Research on the Positioning Technology of RSS in the MixedEnvironment of the Line of Sight and Non-line of Sight(PDF)

南京师范大学学报(工程技术版)[ISSN:1006-6977/CN:61-1281/TN]

Issue:
2017年04期
Page:
71-
Research Field:
计算机工程
Publishing date:

Info

Title:
Research on the Positioning Technology of RSS in the MixedEnvironment of the Line of Sight and Non-line of Sight
Author(s):
Guo Qing124Ke Wei124Tang Wanchun124Zhang Xueying34Sheng Yehua34
(1.School of Physics and Technology,Nanjing Normal University,Nanjing 210023,China)(2.Jiangsu Key Laboratory on Opto-electronics Technology,Nanjing Normal University,Nanjing 210023,China)(3.Key Laboratory of Virtual Geographic Environment of Ministry of
Keywords:
LOSNLOSmixed Gauss modelDEM algorithmGDOP
PACS:
TN911
DOI:
10.3969/j.issn.1672-1292.2017.04.012
Abstract:
A dynamic positioning method based on the received signal strength(RSS)is proposed to solve the problem of low accuracy and low robustness of wireless location in the mixed environment of the line of sight(LOS)and non line of sight(NLOS). This method adopts a mixed Gauss model to describe the communicative effects of both the LOS and NLOS environment to overcome problem of identifying them existing in current methods. Morever,a dynamic expectation maximum(DEM)algorithm is presented for real-time adjust of the model parameters,which can be suitable for environment time-varying characteristics. Furthermore,considering the influence on locating accuracy caused by the geometric relation of test positions,a method of test points selection is proposed on the basis of geometric dilution of precision(GDOP). The simulation results show that the algorithm presented in this paper can not only have a high positioning accuracy,but also fit the dynamic changes of the environment.

References:

[1] CHAN Y T,HO K C. A simple and efficient estimator for hyperbolic location[J]. IEEE transactions on signal processing,1994,42(8):1 905-1 915.
[2]FANG B T. Simple solutions for hyperbolic and related position fixes[J]. IEEE transactions on aerospace and electronic systems,1990,26(5):748-753.
[3]FOY W H. Position-location solutions by Taylor-series estimation[J]. IEEE transactions on aerospace and electronic systems,1976,12(2):187-194.
[4]GUVENC I,CHONG C C. A survey on TOA based wireless localization and NLOS mitigation techniques[J]. IEEE communications surveys and tutorials,2009,11(3):107-124.
[5]肖竹,陈杰,王东,等. 严重遮挡非视距环境下的三维定位方法[J]. 通信学报,2015,36(8):68-75.
XIAO Z,CHEN J,WANG D,et al. Three-dimensional location under severely obstructed NLOS environment[J]. Journal on communications,2015,36(8):68-75.(in Chinese)
[6]柯炜,吴乐南. 基于非视距误差直接估计的定位跟踪算法[J]. 信号处理,2010,26(12):1 858-1 863.
KE W,WU L N. Location tracking algorithm based on direct NLOS error estimation[J]. Journal of signal processing,2010,26(12):1 858-1 863.(in Chinese)
[7]李静,刘琚. 用卡尔曼滤波器消除TOA中NLOS误差的三种方法[J]. 通信学报,2005,26(1):130-135.
LI J,LIU J. NLOS error mitigation in TOA using Kalman filter[J]. Journal on communications,2005,26(1):130-135.(in Chinese)
[8]崔玮,吴成东,张云洲,等. 基于高斯混合模型的非视距定位算法[J]. 通信学报,2014,35(1):99-106.
CUI W,WU C D,ZHUANG Y Z,et al. GMM-based location algorithm under NLOS conditions[J]. Journal on communications,2014,35(1):99-106.(in Chinese)
[9]欧阳宁烽. LOS/NLOS混合环境中基于交互式多模型的鲁棒目标跟踪[D]. 湘潭:湘潭大学,2013.
OUYANG N F. Interactive-multiple-model based robust target tracking in LOS/NLOS hybrid environments[D]. Xiangtan:Xiangtan University,2013.(in Chinese)
[10]LOHRASBIPEYDEH H,GULLIVER T A,AMINDAVAR H. Blind received signal strength difference based source localization with system parameter errors[J]. IEEE transactions on signal processing,2014,62(17):4 516-4 531.
[11]RAPPAPORT T. Wireless Communications:principles and practice[M]. Beijing:Publishing House of Electronics Industry,1996.
[12]YIN F,ZOUBIR A M,FRITSCHE C,et al. Robust cooperative sensor network localization via the EM criterion in LOS/NLOS environments[C]//Signal Processing Advances in Wireless Communications. Darmstadt,Germany:IEEE,2013:505-509.
[13]PATWARI N,HERO A O,PERKINS M,et al. Relative location estimation in wireless sensor networks[J]. IEEE transactions on signal processing,2003,51(8):2 137-2 148.
[14]BILMES J A. A gentle tutorial on the EM algorithm and its applicationto parameter estimation for Gaussian mixture and hidden Markovmodels[R]. USA,CA:University of California,1998.
[15]YIN F,LI A,ZOUBIR A M,et al. RSS-based sensor network localization in contaminated Gaussian measurement noise[C]// 2013 IEEE 5th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing. Saint Martin:IEEE,2014:121-124.
[16]YIN F,ZOUBIR A M. Robust positioning in NLOS environments using nonparametric adaptive kernel density estimation[C]//IEEE International Conference on Acoustics,Speech and Signal Processing. Tyoto,Japan:IEEE,2012:3 517-3 520.
[17]BHARADWAJ R,PARINI C,ALOMAINY A. Ultrawideband-based 3-D localization using compact base-station configurations[J]. IEEE antennas and wireless propagation letters,2014,13(2):221-224.
[18]QUAN Q. Low bounds of the GDOP in absolute-range based 2-D wireless location systems[C]//International Conference on Information Science and Digital Content Technology. Jeju,Soth Korea:IEEE,2012:135-138.

Memo

Memo:
-
Last Update: 2017-12-30