The design of multi-user indoor UWB localization system

Recent advances in the field of ultra wide band (UWB) localization system has brought renewed interest to the problem of indoor localization system, which has a wide range of applications, such as localization in mine, commodity localization in market or factory and other fields. However, in real scenario, the time synchronization and the limited located users problems are widely existed. An indoor localization system based on UWB is proposed in this paper, where a pseudo time synchronization algorithm is proposed to solve time synchronization problem. Moreover, a signal communication mechanism is established, by which located users only receive signals transmitted from reference base stations. In this case, it can locate unlimited number of users simultaneously in theory. The system has high localization accuracy and stability, and achieves the indoor 3D localization, which can be seen from the indoor static localization and the indoor dynamic localization experiments, respectively.

[1]  Liyuan Xu,et al.  The effect of multipath and NLOS on TOA ranging error and energy based on UWB , 2016, 2016 IEEE International Conference on Consumer Electronics-Taiwan (ICCE-TW).

[2]  Xi Chen,et al.  Error analysis and experimental study on indoor UWB TDoA localization with reference tag , 2013, 2013 19th Asia-Pacific Conference on Communications (APCC).

[3]  Benoît Champagne,et al.  A ML-Based Framework for Joint TOA/AOA Estimation of UWB Pulses in Dense Multipath Environments , 2014, IEEE Transactions on Wireless Communications.

[4]  Xin Li,et al.  Location Based TOA Algorithm for UWB Wireless Body Area Networks , 2014, 2014 IEEE 12th International Conference on Dependable, Autonomic and Secure Computing.

[5]  Erik G. Larsson,et al.  Measurement Analysis and Channel Modeling for TOA-Based Ranging in Tunnels , 2013, IEEE Transactions on Wireless Communications.

[6]  Hong Ding,et al.  TOA Estimation in IR UWB Ranging with Energy Detection Receiver Using Received Signal Characteristics , 2012, IEEE Communications Letters.

[7]  Yi Ke-chu.  Investigation of UWB positioning based on antenna array , 2010 .

[8]  Xue Wang,et al.  UWB Positioning System Based on Joint TOA and DOA Estimation: UWB Positioning System Based on Joint TOA and DOA Estimation , 2010 .

[9]  Ma Lin.  Research on IR-UWB through wall ranging error , 2011 .

[10]  Juan José Murillo-Fuentes,et al.  Blind Low Complexity Time-Of-Arrival Estimation Algorithm for UWB Signals , 2015, IEEE Signal Processing Letters.

[11]  罗超,et al.  Performance analysis of ultra-wideband based wireless sensor networks in indoor office LOS environment , 2012 .

[12]  Sha Xue-jun.  Modulation mode and performance analysis of uwb communication system based on parallel combinatory spread spectrum , 2012 .

[13]  Guangyou Fang,et al.  A New Method of Complex Target Shape Reconstruction for UWB Through-Wall Radar , 2011, 2011 First International Conference on Instrumentation, Measurement, Computer, Communication and Control.

[14]  Dongwoo Kang,et al.  A simple asynchronous UWB position location algorithm based on single round-trip transmission , 2006, 2006 8th International Conference Advanced Communication Technology.