Indoor Positioning and Body Direction Measurement System Using IR-UWB Radar

In this paper we propose a system that recognizes the location and direction of a target in an indoor environment using impulse radio ultra wideband (IR-UWB) radar. The position measurement using IR-UWB radar uses at least two radars in the conventional algorithm, but assuming that the object is a point, the volume of the object is not considered at all. So it is impossible to predict where the real center of the body is located, and what kind of behavior it is, by only locating it by the reflection signal to the surface of the object. However, if we use the distance information of each of the four radars, we can measure the accurate position of the target and the direction of the target’s body. We can also see what behavior patterns we have, and there is no privacy problem at all. In order to verify the proposed system, we installed a radar in four directions in the room and experimented with humans. We could track the position of the object and measure the direction of the body in real time.

[1]  Christian Wietfeld,et al.  Scalable and precise multi-UAV indoor navigation using TDOA-based UWB localization , 2017, 2017 International Conference on Indoor Positioning and Indoor Navigation (IPIN).

[2]  I. Guvenc,et al.  TOA estimation for IR-UWB systems with different transceiver types , 2006, IEEE Transactions on Microwave Theory and Techniques.

[3]  Yi-Chyun Chiang,et al.  Vital Signal Radar With Adaptive Compensation Circuits to Effectively Eliminate DC Offsets , 2018, IEEE Microwave and Wireless Components Letters.

[4]  David Akopian,et al.  Real-Time Rejection and Mitigation of Time Synchronization Attacks on the Global Positioning System , 2018, IEEE Transactions on Industrial Electronics.

[5]  Lin Ma,et al.  Pedestrian dead reckoning trajectory matching method for radio map crowdsourcing building in WiFi indoor positioning system , 2017, 2017 IEEE International Conference on Communications (ICC).

[6]  M. Navarro,et al.  TOA and DOA Estimation for Positioning and Tracking in IR-UWB , 2007, 2007 IEEE International Conference on Ultra-Wideband.

[7]  Sung Ho Cho,et al.  People Counting Based on an IR-UWB Radar Sensor , 2017, IEEE Sensors Journal.

[8]  Gökhan Çelik,et al.  A novel RSRP-based E-CID positioning for LTE networks , 2017, 2017 13th International Wireless Communications and Mobile Computing Conference (IWCMC).

[9]  Nozomu Togawa,et al.  An accurate indoor positioning algorithm using particle filter based on the proximity of bluetooth beacons , 2017, 2017 IEEE 6th Global Conference on Consumer Electronics (GCCE).

[10]  S. Gezici,et al.  Ranging in the IEEE 802.15.4a Standard , 2006, 2006 IEEE Annual Wireless and Microwave Technology Conference.

[11]  Yan Wang,et al.  Comparison of two scaling approaches for the development of biomechanical multi-body human models , 2016 .