Performance Analysis of a 60-GHz Radar for Indoor Positioning and Tracking

Among the manifold wireless technologies recently adopted for indoor localization and tracking, radars based on phased-array transceivers at 60 GHz are gaining momentum. The main advantages of this technology are: high accuracy, good ability to track multiple target with a low computation burden and preservation of privacy. Despite the growing commercial success of low-cost radar platforms, accurate studies to evaluate their tracking performance are not frequent in the literature, the main reasons being the commercial policies that prevent a direct access to the processed data and the difficult calibration of indoor positioning systems under dynamic conditions. This paper aims to fill this gap providing an extensive and scientifically sound performance analysis of one of these sensors (i.e., the System-onChip (SOC) TI IWR6843) and exposing benefits and limitations of 60-GHz mm-wave sensors for people localization and tracking. Multiple experimental results show that the average standard positioning uncertainty is about 30 cm under dynamic conditions. Our study also reveals the critical impact of three parameters, which are not properly documented by the manufacturer. Localization accuracy and robustness are also significantly affected by the risk of delayed and spurious detections. In the paper, a possible mitigation strategy of these anomalies is presented.

[1]  M. Loschonsky,et al.  Detection technology for trapped and buried people , 2009, 2009 IEEE MTT-S International Microwave Workshop on Wireless Sensing, Local Positioning, and RFID.

[2]  Luigi Palopoli,et al.  Indoor Localization of Mobile Robots Through QR Code Detection and Dead Reckoning Data Fusion , 2017, IEEE/ASME Transactions on Mechatronics.

[3]  Hwan Hur,et al.  A Circuit Design for Ranging Measurement Using Chirp Spread Spectrum Waveform , 2010, IEEE Sensors Journal.

[4]  Gerhard Bauch,et al.  Joint Localization and Mapping Through Millimeter Wave MIMO in 5G Systems , 2018, 2018 IEEE Global Communications Conference (GLOBECOM).

[5]  A. Kutiyanawala,et al.  iWalker: Toward a Rollator-Mounted Wayfinding System for the Elderly , 2008, 2008 IEEE International Conference on RFID.

[6]  Ali Al-Sherbaz,et al.  UNILS: Unconstrained indoors localization scheme based on cooperative smartphones networking with onboard inertial, Bluetooth and GNSS devices , 2016, 2016 IEEE/ION Position, Location and Navigation Symposium (PLANS).

[7]  Jörg Widmer,et al.  Lightweight Indoor Localization for 60-GHz Millimeter Wave Systems , 2016, 2016 13th Annual IEEE International Conference on Sensing, Communication, and Networking (SECON).

[8]  Daniele Fontanelli,et al.  Bluetooth-Based Indoor Positioning Through ToF and RSSI Data Fusion , 2018, 2018 International Conference on Indoor Positioning and Indoor Navigation (IPIN).

[9]  Luigi Palopoli,et al.  Indoor Positioning of a Robotic Walking Assistant for Large Public Environments , 2015, IEEE Transactions on Instrumentation and Measurement.

[10]  Davide Dardari,et al.  Environment Mapping with Millimeter-Wave Massive Arrays: System Design and Performance , 2016, 2016 IEEE Globecom Workshops (GC Wkshps).

[11]  Youngnam Han,et al.  SmartPDR: Smartphone-Based Pedestrian Dead Reckoning for Indoor Localization , 2015, IEEE Sensors Journal.

[12]  Michael Bocquet,et al.  UWB technology applied to millimeter-wave indoor location systems , 2014, 2014 International Radar Conference.

[13]  Andrew J. Davison,et al.  Real-time simultaneous localisation and mapping with a single camera , 2003, Proceedings Ninth IEEE International Conference on Computer Vision.

[14]  Ian D. Reid,et al.  Stable multi-target tracking in real-time surveillance video , 2011, CVPR 2011.

[15]  A.E. Fathy,et al.  Development of an UWB Indoor 3D Positioning Radar with Millimeter Accuracy , 2006, 2006 IEEE MTT-S International Microwave Symposium Digest.

[16]  Christof Röhrig,et al.  Real-Time Communication and Localization for a Swarm of Mobile Robots Using IEEE 802.15.4a CSS , 2011, 2011 IEEE Vehicular Technology Conference (VTC Fall).

[17]  Carlo Fischione,et al.  A Survey of Enabling Technologies for Network Localization, Tracking, and Navigation , 2018, IEEE Communications Surveys & Tutorials.

[18]  Thia Kirubarajan,et al.  Estimation with Applications to Tracking and Navigation: Theory, Algorithms and Software , 2001 .

[19]  Tiejun Lv,et al.  3-D Indoor Positioning for Millimeter-Wave Massive MIMO Systems , 2018, IEEE Transactions on Communications.

[20]  Dietmar Kissinger,et al.  Highly-miniaturized 2-channel mm-wave radar sensor with on-chip folded dipole antennas , 2017, 2017 IEEE Radio Frequency Integrated Circuits Symposium (RFIC).

[21]  Amin Hamidian,et al.  Cooperative Indoor Localization Using 24-GHz CMOS Radar Transceivers , 2014, IEEE Transactions on Microwave Theory and Techniques.

[22]  D.L. McMakin,et al.  Near Field Imaging at Microwave and Millimeter Wave Frequencies , 2007, 2007 IEEE/MTT-S International Microwave Symposium.

[23]  Antonio Moschitta,et al.  Positioning Techniques in Indoor Environments Based on Stochastic Modeling of UWB Round-Trip-Time Measurements , 2016, IEEE Transactions on Intelligent Transportation Systems.

[24]  Luigi Palopoli,et al.  Flexible Indoor Localization and Tracking Based on a Wearable Platform and Sensor Data Fusion , 2014, IEEE Transactions on Instrumentation and Measurement.

[25]  Theodore S. Rappaport,et al.  Position Locationing for Millimeter Wave Systems , 2018, 2018 IEEE Global Communications Conference (GLOBECOM).

[26]  Cheonsoo Kim,et al.  A Centimeter Resolution, 10 m Range CMOS Impulse Radio Radar for Human Motion Monitoring , 2014, IEEE Journal of Solid-State Circuits.

[27]  Davide Dardari,et al.  A Millimeter-Wave Indoor Backscattering Channel Model for Environment Mapping , 2017, IEEE Transactions on Antennas and Propagation.