Visible Light Positioning and Navigation Using Noise Measurement and Mitigation

Visible light positioning (VLP) has become an essential candidate for high-accurate positioning; however, its positioning accuracy is usually degraded by the noise in the VLP system. To solve this problem, a novel scheme of noise measurement and mitigation is proposed for VLP based on the noise measurement from Allan Variance and the noise mitigation from positioning algorithms such as Adaptive Least Squares (ALSQ) and Extended Kalman Filter (EKF). In this scheme, Allan Variance is introduced for noise analysis in VLP for the first time, which provides an efficient method for measuring the white noise in the VLP systems. Meanwhile, we evaluate our noise reduction method under static test using ALSQ and dynamic test using EKF. Furthermore, this article carefully discusses the relationship between positioning accuracy and dilution of precision (DOP) values. The preliminary field static tests demonstrate that the proposed scheme improves the positioning accuracy by 16.5% and achieves the accuracy of 137 mm while dynamic tests show an improvement of 60.4% and achieve the mean positioning accuracy of 153 mm.

[1]  Naser El-Sheimy,et al.  Tightly-Coupled Integration of WiFi and MEMS Sensors on Handheld Devices for Indoor Pedestrian Navigation , 2016, IEEE Sensors Journal.

[2]  Xiaoji Niu,et al.  An improved inertial/wifi/magnetic fusion structure for indoor navigation , 2017, Inf. Fusion.

[3]  P. Christol,et al.  Noise measurements for the performance analysis of infrared photodetectors , 2013, 2013 22nd International Conference on Noise and Fluctuations (ICNF).

[4]  Mohsen Kavehrad,et al.  Asynchronous indoor positioning system based on visible light communications , 2014 .

[5]  Weiwei Xia,et al.  Localization for visible light communication with practical non-Gaussian noise model , 2017, 2017 9th International Conference on Wireless Communications and Signal Processing (WCSP).

[6]  Guobin Shen,et al.  Epsilon: A Visible Light Based Positioning System , 2014, NSDI.

[7]  Bertrand T. Fang,et al.  Trilateration and extension to Global Positioning System navigation , 1986 .

[8]  Jay A. Farrell,et al.  Indoor localization based on LEDs , 2011, 2011 IEEE International Conference on Control Applications (CCA).

[9]  Murat Yuksel,et al.  LIGHTNETs: Smart LIGHTing and Mobile Optical Wireless NETworks — A Survey , 2013, IEEE Communications Surveys & Tutorials.

[10]  Jun Yang,et al.  Low-Power Centimeter-Level Localization for Indoor Mobile Robots Based on Ensemble Kalman Smoother Using Received Signal Strength , 2019, IEEE Internet of Things Journal.

[11]  Naser El-Sheimy,et al.  Evaluation of Two WiFi Positioning Systems Based on Autonomous Crowdsourcing of Handheld Devices for Indoor Navigation , 2016, IEEE Transactions on Mobile Computing.

[12]  Naser El-Sheimy,et al.  Two-Filter Smoothing for Accurate INS/GPS Land-Vehicle Navigation in Urban Centers , 2010, IEEE Transactions on Vehicular Technology.

[13]  R. Langley.  Dilution of Precision , 1999 .

[14]  Antonio Moschitta,et al.  Positioning Techniques in Indoor Environments Based on Stochastic Modeling of UWB Round-Trip-Time Measurements , 2016, IEEE Transactions on Intelligent Transportation Systems.

[15]  Jingnan Liu,et al.  Using Allan variance to analyze the error characteristics of GNSS positioning , 2014, GPS Solutions.

[16]  Naser El-Sheimy,et al.  The Integration of Photodiode and Camera for Visible Light Positioning by Using Fixed-Lag Ensemble Kalman Smoother , 2019, Remote. Sens..

[17]  Shih-Hau Fang,et al.  An Enhanced ZigBee Indoor Positioning System With an Ensemble Approach , 2012, IEEE Communications Letters.

[18]  Nima Alam,et al.  Cooperative Positioning for Vehicular Networks: Facts and Future , 2013, IEEE Transactions on Intelligent Transportation Systems.

[19]  Sally McClean,et al.  Characterization of Received Signal Strength Perturbations Using Allan Variance , 2018, IEEE Transactions on Aerospace and Electronic Systems.

[20]  Masao Nakagawa,et al.  Fundamental analysis for visible-light communication system using LED lights , 2004, IEEE Transactions on Consumer Electronics.

[21]  Hongming Zhang,et al.  Fundamental analysis for indoor visible light positioning system , 2012, 2012 1st IEEE International Conference on Communications in China Workshops (ICCC).

[22]  J. J. Sudano.  A least square algorithm with covariance weighting for computing the translational and rotational errors between two radar sites , 1993, Proceedings of the IEEE 1993 National Aerospace and Electronics Conference-NAECON 1993.

[23]  D. W. Allan,et al.  Statistics of atomic frequency standards , 1966 .

[24]  Yuegang Fu,et al.  Theoretical Accuracy Analysis of Indoor Visible Light Communication Positioning System Based on Received Signal Strength Indicator , 2014, Journal of Lightwave Technology.

[25]  Xiaoji Niu,et al.  Self-Contained Indoor Pedestrian Navigation Using Smartphone Sensors and Magnetic Features , 2016, IEEE Sensors Journal.

[26]  ZhangPeng,et al.  An improved inertial/wifi/magnetic fusion structure for indoor navigation , 2017 .

[27]  Rui Valadas,et al.  Optical interference produced by artificial light , 1997, Wirel. Networks.

[28]  Prashant Krishnamurthy,et al.  Modeling of indoor positioning systems based on location fingerprinting , 2004, IEEE INFOCOM 2004.

[29]  Myungsik Yoo,et al.  TDoA based indoor visible light positioning systems , 2013, 2013 Fifth International Conference on Ubiquitous and Future Networks (ICUFN).

[30]  Rosdiadee Nordin,et al.  Recent Advances in Wireless Indoor Localization Techniques and System , 2013, J. Comput. Networks Commun..

[31]  Fernando Seco Granja,et al.  Accurate Pedestrian Indoor Navigation by Tightly Coupling Foot-Mounted IMU and RFID Measurements , 2012, IEEE Transactions on Instrumentation and Measurement.

[32]  Mohsen Kavehrad,et al.  Three-dimensional light positioning algorithm with filtering techniques for indoor environments , 2014 .

[33]  Mohammad R. Mosavi,et al.  De-noising of GPS Receivers Positioning Data Using Wavelet Transform and Bilateral Filtering , 2013, Wirel. Pers. Commun..

[34]  Zabih Ghassemlooy,et al.  Effect of transmitter and receiver parameters on the output signal to noise ratio in visible light communications , 2017, 2017 Iranian Conference on Electrical Engineering (ICEE).

[35]  Harald Haas,et al.  What is LiFi? , 2015, 2015 European Conference on Optical Communication (ECOC).

[36]  Carlos A. Pomalaza-Raez,et al.  A Hexagonal Coverage LED-ID Indoor Positioning Based on TDOA with Extended Kalman Filter , 2013, 2013 IEEE 37th Annual Computer Software and Applications Conference.

[37]  Naser El-Sheimy,et al.  Smartphone-Based Indoor Localization with Bluetooth Low Energy Beacons , 2016, Sensors.

[38]  Robert Harle,et al.  A Survey of Indoor Inertial Positioning Systems for Pedestrians , 2013, IEEE Communications Surveys & Tutorials.

[39]  Jungmin So,et al.  An Improved Location Estimation Method for Wifi Fingerprint- based Indoor Localization , 2013 .

[40]  Abdul Hanan Abdullah,et al.  Geometry-Based Localization for GPS Outage in Vehicular Cyber Physical Systems , 2018, IEEE Transactions on Vehicular Technology.

[41]  Longxing Shi,et al.  Noise Analysis and Modeling in Visible Light Communication Using Allan Variance , 2018, IEEE Access.

[42]  Y. Jay Guo,et al.  GDOP Analysis for Positioning System Design , 2009, IEEE Transactions on Vehicular Technology.

[43]  Xiaoji Niu,et al.  Analysis and Modeling of Inertial Sensors Using Allan Variance , 2008, IEEE Transactions on Instrumentation and Measurement.

[44]  Simon Plass,et al.  Positioning Based on Factor Graphs , 2007, EURASIP J. Adv. Signal Process..

[45]  John Thompson,et al.  A Survey of Positioning Systems Using Visible LED Lights , 2018, IEEE Communications Surveys & Tutorials.

[46]  Sang-Kook Han,et al.  An Indoor Visible Light Communication Positioning System Using a RF Carrier Allocation Technique , 2013, Journal of Lightwave Technology.