Using DecaWave UWB transceivers for high-accuracy multipath-assisted indoor positioning

Robust indoor positioning and location awareness at a sub-meter accuracy typically require highly accurate radio channel measurements to extract precise time-of-flight measurements. Emerging UWB transponders like the DecaWave DW1000 chip offer to estimate channel impulse responses with reasonably high bandwidth and excellent clock stability, yielding a ranging precision below 10 cm. The competitive pricing of these chips allows scientists and engineers for the first time to exploit the benefits of UWB for indoor positioning without the need for a massive investment into experimental equipment. This work investigates the performance of the DW1000 chip concerning position related information that can be extracted from its channel impulse response measurements. We evaluate the signal-to-interference-plus-noise ratio of the line-of-sight and reflected multipath components which is a key parameter determining the Cramér-Rao lower bound on the ranging error variance. We propose a novel and highly efficient positioning algorithm, which requires information from a single anchor only. Results demonstrate reliable and robust positioning at an accuracy below 0.5 m.

[1]  P. Meissner,et al.  Analysis of position-related information in measured UWB indoor channels , 2012, 2012 6th European Conference on Antennas and Propagation (EUCAP).

[2]  Martin Vetterli,et al.  Single-channel indoor microphone localization , 2014, 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

[3]  Samuel Van de Velde,et al.  CUPID algorithm for cooperative indoor multipath-aided localization , 2012, 2012 International Conference on Indoor Positioning and Indoor Navigation (IPIN).

[4]  Gene H. Golub,et al.  The differentiation of pseudo-inverses and non-linear least squares problems whose variables separate , 1972, Milestones in Matrix Computation.

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

[6]  Kai Neumann,et al.  Performance Evaluation of 3D-Position Estimation Systems , 2016, IEEE Sensors Journal.

[7]  Hyundong Shin,et al.  Machine Learning for Wideband Localization , 2015, IEEE Journal on Selected Areas in Communications.

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

[9]  Moe Z. Win,et al.  Fundamental Limits of Wideband Localization— Part II: Cooperative Networks , 2010, IEEE Transactions on Information Theory.

[10]  Moe Z. Win,et al.  High-Accuracy Localization for Assisted Living , 2015 .

[11]  Paul Meissner,et al.  Cooperative localization and tracking using multipath channel information , 2016, 2016 International Conference on Localization and GNSS (ICL-GNSS).

[12]  Jia Wang,et al.  Prototyping and Experimental Comparison of IR-UWB Based High Precision Localization Technologies , 2015, 2015 IEEE 12th Intl Conf on Ubiquitous Intelligence and Computing and 2015 IEEE 12th Intl Conf on Autonomic and Trusted Computing and 2015 IEEE 15th Intl Conf on Scalable Computing and Communications and Its Associated Workshops (UIC-ATC-ScalCom).

[13]  Klaus Witrisal,et al.  Multipath-assisted indoor positioning enabled by directional UWB sector antennas , 2017, 2017 IEEE 18th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC).

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

[15]  Moe Z. Win,et al.  Fundamental Limits of Wideband Localization— Part I: A General Framework , 2010, IEEE Transactions on Information Theory.

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

[17]  P. Bello Characterization of Randomly Time-Variant Linear Channels , 1963 .

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

[19]  Moe Z. Win,et al.  Time of Arrival Estimation for UWB Localizers in Realistic Environments , 2006, EURASIP J. Adv. Signal Process..

[20]  Krit Athikulwongse,et al.  On performance study of UWB real time locating system , 2016, 2016 7th International Conference of Information and Communication Technology for Embedded Systems (IC-ICTES).

[21]  Larry J. Greenstein,et al.  Moment-method estimation of the Ricean K-factor , 1999, IEEE Communications Letters.

[22]  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.

[23]  Christoph Krall,et al.  Signal Processing for Ultra Wideband Transceivers , 2008 .