Evaluation and Improvement of Localization Algorithms Based on UWB Pozyx System

Recent advances in the field of Ultra-Wide Band (UWB) localization systems have brought a renewed interest to the problem of indoor localization systems, which have a wide range of applications. We propose in this paper to improve the localization performance of the Pozyx system based on UWB technology. The improvement in terms of localization accuracy is achieved using a multilateration algorithm combined with a strategy of anchors selection. This latter is proposed to overcome the problem of distance measurement errors caused by harsh environments. The conducted experiments and simulations show the effectiveness of the proposed algorithm.

[1]  M. Wing,et al.  Consumer-Grade Global Positioning System (GPS) Accuracy and Reliability , 2005 .

[2]  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).

[3]  Paulo G. Costa,et al.  Robot Localization System in a Hard Outdoor Environment , 2017, ROBOT.

[4]  Abdelmoumen Norrdine,et al.  An algebraic solution to the multilateration problem , 2012 .

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

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

[7]  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.

[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]  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.

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

[11]  Miroslaw Malek,et al.  Optimizing Sensor Nodes Placement for Fault-Tolerant Trilateration-Based Localization , 2015, 2015 IEEE 21st Pacific Rim International Symposium on Dependable Computing (PRDC).

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

[13]  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.

[14]  Alonzo Kelly.  Precision Dilution in Triangulation Based Mobile Robot Position Estimation , 2003 .