Doppler Differential Positioning Technology Using the BDS/GPS Indoor Array Pseudolite System

A Global Satellite Navigation System (GNSS) cannot provide normal location services in an indoor environment because the signals are blocked by buildings. The Beidou satellite navigation system (BDS)/GPS indoor array pseudolite system is proposed to overcome the problems of indoor positioning with conventional pseudolite, such as time synchronization, ambiguity resolution and base stations. At the same time, an algorithm for Doppler differential positioning is proposed to improve the indoor positioning accuracy and the positioning coverage of the system, which uses the Doppler difference equation and Known Point Initialization (KPI) to determinate the velocity and position of the receiver. Experiments were conducted to verify the proposed system under different conditions; the average positioning error of the Doppler differential positioning algorithm was 7.86 mm in the kinematic test and 2.9 mm in the static test. The results show that BDS/GPS indoor array pseudolite system has the potential to make indoor positioning achieve sub-centimeter precision. Finally, the positioning error of the proposed algorithm is also analyzed, and the data tests show that the dilution of precision (DOP) and cycle- slips have a significant impact on the indoor positioning accuracy; a cycle-slip of a half-wavelength can cause positioning errors of tens of millimeters. Therefore, the Doppler-aided cycle-slip detection method (DACS) is proposed to detect cycle-slips of one cycle or greater than one, and the carrier phase double difference cycle-slip detection method (CPDD) is used to detect cycle slips of a half-wavelength.

[1]  Zhang Heng,et al.  Pseudolite Cellular Network in Urban and Its High Precision Positioning Technology , 2017 .

[2]  Fei Yang,et al.  A New Method of High-Precision Positioning for an Indoor Pseudolite without Using the Known Point Initialization , 2018, Sensors.

[3]  Changdon Kee,et al.  A Pseudolite-Based Positioning System for Legacy GNSS Receivers , 2014, Sensors.

[4]  Haixia Xia,et al.  Fast GNSS signal acquisition with Doppler frequency estimation algorithm , 2018, GPS Solutions.

[5]  Gethin Wyn Roberts,et al.  Indoor multipath effect study on the Locata system , 2010 .

[6]  Xin Li,et al.  A New Method for Single-Epoch Ambiguity Resolution with Indoor Pseudolite Positioning , 2017, Sensors.

[7]  Shigeki Sugano,et al.  Doppler pose estimation using multiple IMES transmitters for indoor localisation , 2014, J. Locat. Based Serv..

[8]  Jinyoung Suk,et al.  A Design of Dual Frequency Bands Time Synchronization System for Synchronized-Pseudolite Navigation System , 2014 .

[9]  Baoguo Yu,et al.  The Development, Test and Application of New Technology on Beidou/GPS Dual-Mode Pseudolites , 2015 .

[10]  Shigeki Sugano,et al.  Hyperbolic Positioning with Antenna Arrays and Multi-Channel Pseudolite for Indoor Localization , 2015, Sensors.

[11]  Fernando Sansò,et al.  Real-time cycle slip detection in triple-frequency GNSS , 2011, GPS Solutions.

[12]  M. Meindl,et al.  Minimum Detectable Velocity Based on GNSS Doppler Phase Observables , 2018, 2018 European Navigation Conference (ENC).

[13]  Gethin Wyn Roberts,et al.  On the improvements of the single point positioning accuracy with Locata technology , 2013, GPS Solutions.

[14]  John D. Bard,et al.  Time difference of arrival dilution of precision and applications , 1999, IEEE Trans. Signal Process..

[15]  Zheng Yao,et al.  On-the-fly ambiguity resolution involving only carrier phase measurements for stand-alone ground-based positioning systems , 2019, GPS Solutions.

[16]  Dinesh Manandhar,et al.  Development of Ultimate Seamless Positioning System Based on QZSS IMES , 2008 .

[17]  Wu Chen,et al.  A New Indoor Positioning System Architecture Using GPS Signals , 2015, Sensors.

[18]  Mustafa Ozgur Kanli,et al.  Limitations of Pseudolite Systems Using Off-The-Shelf GPS Receivers , 2004 .

[20]  Shigeki Sugano,et al.  GPS-based indoor positioning system with multi-channel pseudolite , 2008, 2008 IEEE International Conference on Robotics and Automation.

[21]  Salvatore Troisi,et al.  Time-differenced carrier phases technique for precise GNSS velocity estimation , 2014, GPS Solutions.

[22]  Michael A. Jensen,et al.  Modeling the statistical time and angle of arrival characteristics of an indoor multipath channel , 2000, IEEE Journal on Selected Areas in Communications.

[23]  Satoshi Kogure,et al.  Indoor and Outdoor Seamless Positioning using Indoor Messaging System and GPS , 2011 .

[24]  Shigeki Sugano,et al.  A combined approach of Doppler and carrier-based hyperbolic positioning with a multi-channel GPS-pseudolite for indoor localization of robots , 2016, 2016 International Conference on Indoor Positioning and Indoor Navigation (IPIN).