Environment-Aware Indoor Localization Using Magnetic Induction

作者: Xin Tan , Zhi Sun

DOI: 10.1109/GLOCOM.2015.7417400

关键词:

摘要: The Magnetic Induction (MI) communication techniques have enabled or enhanced many wireless applications in the indoor environments where line-of-sight (LOS) links usually do not exist. position information of each device such complex environment can also be derived by same MI systems without additional hardware infrastructure. However, while signals penetrate most transmission media significant attenuation and phase shifting, conductive objects (e.g., metallic pipelines, beams, human bodies) still dramatically influence signals, which cause estimation errors MI-based localization. To date, no analysis/solution has been provided to address problem. In this paper, an environment-aware localization mechanism is proposed for networks non-LOS preinstalled infrastructures. First, on network investigated. Then based analysis, a joint conductive-object tomography algorithm developed estimate devices as well distribution objects. simulation evaluation shows accurately localize floor plan with multiple walls obstructions.

参考文章(16)
Xin Tan, Zhi Sun, Pu Wang, On localization for magnetic induction-based wireless sensor networks in pipeline environments 2015 IEEE International Conference on Communications (ICC). pp. 2780- 2785 ,(2015) , 10.1109/ICC.2015.7248747
Xin Tan, Zhi Sun, Ian F. Akyildiz, Wireless Underground Sensor Networks: MI-based communication systems for underground applications. IEEE Antennas and Propagation Magazine. ,vol. 57, pp. 74- 87 ,(2015) , 10.1109/MAP.2015.2453917
Bang Wang, Shengliang Zhou, Wenyu Liu, Yijun Mo, Indoor Localization Based on Curve Fitting and Location Search Using Received Signal Strength IEEE Transactions on Industrial Electronics. ,vol. 62, pp. 572- 582 ,(2015) , 10.1109/TIE.2014.2327595
Mohamed Emharraf, Mohammed Rahmoun, Mohammed Saber, Mostafa Azizi, Mobile robot unknown indoor environment exploration using self-localization and grid map building international conference on intelligent systems theories and applications. pp. 1- 5 ,(2014) , 10.1109/SITA.2014.6847303
Joel A Hesch, Faraz M Mirzaei, Gian Luca Mariottini, Stergios I Roumeliotis, A Laser-Aided Inertial Navigation System (L-INS) for human localization in unknown indoor environments international conference on robotics and automation. pp. 5376- 5382 ,(2010) , 10.1109/ROBOT.2010.5509693
C Gabriel, A Peyman, E H Grant, Electrical conductivity of tissue at frequencies below 1 MHz. Physics in Medicine and Biology. ,vol. 54, pp. 4863- 4878 ,(2009) , 10.1088/0031-9155/54/16/002
Sameh Sorour, Yves Lostanlen, Shahrokh Valaee, RSS based indoor localization with limited deployment load global communications conference. pp. 303- 308 ,(2012) , 10.1109/GLOCOM.2012.6503130
Sahil Anang Kharidia, Qiang Ye, Srinivas Sampalli, Jie Cheng, Hongwei Du, Lei Wang, HILL: A Hybrid Indoor Localization Scheme mobile ad-hoc and sensor networks. pp. 201- 206 ,(2014) , 10.1109/MSN.2014.34
Long Cheng, Cheng-dong Wu, Yun-zhou Zhang, Indoor robot localization based on wireless sensor networks IEEE Transactions on Consumer Electronics. ,vol. 57, pp. 1099- 1104 ,(2011) , 10.1109/TCE.2011.6018861
Regina Kaune, Accuracy studies for TDOA and TOA localization international conference on information fusion. pp. 408- 415 ,(2012)