High-accuracy positioning for indoor applications: RFID, UWB, 5G, and beyond

Highly accurate and reliable indoor positioning - at accuracy levels in the 10 cm range - will enable a large a number of innovative location-based applications because such accuracy levels essentially allow for a useful real-time interaction of humans and cyber-physical systems. Activity recognition, navigation at "shelf" level, geofencing, process monitoring and process control are among the envisioned services that will yield numerous applications in various domains. This paper reviews the difficulties faced by indoor positioning systems, motivating the requirement for a large signal bandwidth and how a lack of bandwidth can be compensated by multi-antenna systems. The potential capabilities of upcoming generations of wireless systems will increasingly make high-accuracy positioning available in near future.

[1]  Paul Meissner,et al.  Multipath-assisted maximum-likelihood indoor positioning using UWB signals , 2014, 2014 IEEE International Conference on Communications Workshops (ICC).

[2]  Paul Meissner,et al.  Simultaneous localization and mapping using multipath channel information , 2015, 2015 IEEE International Conference on Communication Workshop (ICCW).

[3]  Paul Meissner,et al.  Cognitive radar for the localization of RFID transponders in dense multipath environments , 2013, 2013 IEEE Radar Conference (RadarCon13).

[4]  Athanasios V. Vasilakos,et al.  A Survey on Ambient Intelligence in Healthcare , 2013, Proceedings of the IEEE.

[5]  Dongre Deepak Mahapatrav,et al.  LARS*: An Efficient and Scalable Location-Aware Recommender System , 2017 .

[6]  Rémi Ronfard,et al.  A survey of vision-based methods for action representation, segmentation and recognition , 2011, Comput. Vis. Image Underst..

[7]  Moe Z. Win,et al.  Cooperative Localization in Wireless Networks , 2009, Proceedings of the IEEE.

[8]  Paul Meissner,et al.  Evaluation of Position-Related Information in Multipath Components for Indoor Positioning , 2014, IEEE Journal on Selected Areas in Communications.

[9]  Alexander M. Haimovich,et al.  Target Localization Accuracy Gain in MIMO Radar-Based Systems , 2008, IEEE Transactions on Information Theory.

[10]  Paul Meissner,et al.  Bandwidth Scaling and Diversity Gain for Ranging and Positioning in Dense Multipath Channels , 2016, IEEE Wireless Communications Letters.

[11]  K. Witrisal,et al.  Wideband Characterization of Backscatter Channels: Derivations and Theoretical Background , 2012, IEEE Transactions on Antennas and Propagation.

[12]  Andreas F. Molisch,et al.  Ultra-Wide-Band Propagation Channels , 2009, Proceedings of the IEEE.

[13]  Paul Meissner,et al.  Performance bounds for multipath-assisted indoor navigation and tracking (MINT) , 2012, 2012 IEEE International Conference on Communications (ICC).

[14]  Moe Z. Win,et al.  A Mathematical Model for Wideband Ranging , 2015, IEEE Journal of Selected Topics in Signal Processing.

[15]  Moe Z. Win,et al.  Characterization of ultra-wide bandwidth wireless indoor channels: a communication-theoretic view , 2002, IEEE J. Sel. Areas Commun..

[16]  Urbashi Mitra,et al.  UWB Sparse/Diffuse Channels, Part I: Channel Models and Bayesian Estimators , 2012, IEEE Transactions on Signal Processing.

[17]  Paul Meissner,et al.  Bandwidth dependence of the ranging error variance in dense multipath , 2016, 2016 24th European Signal Processing Conference (EUSIPCO).

[18]  Paul Meissner,et al.  UWB for Robust Indoor Tracking: Weighting of Multipath Components for Efficient Estimation , 2014, IEEE Wireless Communications Letters.

[19]  Bernd Brügge,et al.  Agile Factory - An Example of an Industry 4.0 Manufacturing Process , 2015, 2015 IEEE 3rd International Conference on Cyber-Physical Systems, Networks, and Applications.

[20]  Moe Z. Win,et al.  Ranging With Ultrawide Bandwidth Signals in Multipath Environments , 2009, Proceedings of the IEEE.

[21]  Thomas Faseth,et al.  Spread-Spectrum Based Ranging of Passive UHF EPC RFID Tags , 2015, IEEE Communications Letters.

[22]  Moeness G. Amin,et al.  Target Localization with a Single Sensor via Multipath Exploitation , 2012, IEEE Transactions on Aerospace and Electronic Systems.

[23]  L.J. Cimini,et al.  MIMO Radar with Widely Separated Antennas , 2008, IEEE Signal Processing Magazine.

[24]  Simon Haykin,et al.  Cognitive Radar: Step Toward Bridging the Gap Between Neuroscience and Engineering , 2012, Proceedings of the IEEE.

[25]  Tommy Svensson,et al.  Location-Aware Communications for 5G Networks: How location information can improve scalability, latency, and robustness of 5G , 2014, IEEE Signal Processing Magazine.

[26]  Yun Li,et al.  A Microphone Array System for Automatic Fall Detection , 2012, IEEE Transactions on Biomedical Engineering.

[27]  Moe Z. Win,et al.  High-Accuracy Localization for Assisted Living: 5G systems will turn multipath channels from foe to friend , 2016, IEEE Signal Processing Magazine.

[28]  A. Enis Çetin,et al.  HMM Based Falling Person Detection Using Both Audio and Video , 2005, 2006 IEEE 14th Signal Processing and Communications Applications.

[29]  S. Haykin,et al.  Cognitive radar: a way of the future , 2006, IEEE Signal Processing Magazine.

[30]  Marcel Bogers,et al.  on Intelligent Manufacturing and Automation , 2013 The Smart Factory : Exploring Adaptive and Flexible Manufacturing Solutions , 2014 .

[31]  Thomas F. Edgar,et al.  Smart manufacturing, manufacturing intelligence and demand-dynamic performance , 2012, Comput. Chem. Eng..

[32]  Moe Z. Win,et al.  Ultra-wide bandwidth time-hopping spread-spectrum impulse radio for wireless multiple-access communications , 2000, IEEE Trans. Commun..

[33]  Fredrik Tufvesson,et al.  On mm-Wave Multipath Clustering and Channel Modeling , 2014, IEEE Transactions on Antennas and Propagation.

[34]  Paul Meissner,et al.  MIMO gain and bandwidth scaling for RFID positioning in dense multipath channels , 2016, 2016 IEEE International Conference on RFID (RFID).

[35]  Simon Haykin,et al.  Cognitive Indoor Positioning and Tracking using Multipath Channel Information , 2016, ArXiv.

[36]  Ulrich Muehlmann,et al.  UWB ranging in passive UHF RFID: proof of concept , 2010 .

[37]  Fredrik Tufvesson,et al.  Beamforming Effects on Measured mm-Wave Channel Characteristics , 2011, IEEE Transactions on Wireless Communications.

[38]  Paul Meissner,et al.  Cooperative multipath-assisted indoor navigation and tracking (Co-MINT) using UWB signals , 2013, 2013 IEEE International Conference on Communications Workshops (ICC).

[39]  J. Borish.  Extension of the image model to arbitrary polyhedra , 1984 .

[40]  Moe Z. Win,et al.  Network Experimentation for Cooperative Localization , 2012, IEEE Journal on Selected Areas in Communications.

[41]  Moe Z. Win,et al.  Impulse radio: how it works , 1998, IEEE Communications Letters.

[42]  Alex Mihailidis,et al.  A Survey on Ambient-Assisted Living Tools for Older Adults , 2013, IEEE Journal of Biomedical and Health Informatics.

[43]  Moe Z. Win,et al.  Network localization and navigation via cooperation , 2011, IEEE Communications Magazine.

[44]  Paul Meissner,et al.  Cooperative Multipath-Assisted Navigation and Tracking: A Low-Complexity Approach , 2015, FABULOUS.

[45]  Martin Meißner,et al.  Towards Attentive In-Store Recommender Systems , 2015 .

[46]  Moe Z. Win,et al.  Ultrawide Bandwidth RFID: The Next Generation? , 2010, Proceedings of the IEEE.

[47]  Fredrik Tufvesson,et al.  Propagation Channel Models for Next-Generation Wireless Communications Systems , 2014, IEICE Trans. Commun..

[48]  G.B. Giannakis,et al.  Localization via ultra-wideband radios: a look at positioning aspects for future sensor networks , 2005, IEEE Signal Processing Magazine.