References
- Groves, P.D. Principle of GNSS, Inertial, and Multisensor Integrated Navigation Systems; Artech House, Boston, MA, 2008.
- IEEE. IEEE Standard Specification Format Guide and Test Procedure for Linear Single-Axis, Nongyroscopic Accelerometers, IEEE Std. 1293–1998; Technical Report, Institute of Electrical and Electronics Engineers Standards Association, 1998. http://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=782464&url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Farnumber%3D782464.
- El-Sheimy, N.; Hou, H.; Niu, X. Analysis and Modeling of Inertial Sensors Using Allan Variance. IEEE Trans. Instrum. Meas. 2008, 57 (1), 140–149.
- Han, S.; Wang, J.; Knight, N. Using Allan Variance to Determine the Calibration Model of Inertial Sensors For GPS/INS Integration. 6th International Symposium on Mobile Mapping Technology, Sao Paulo, Brazil, 2009.
- Zhang, X.; Li, Y.; Mumford, P.; Rizos, C. Allan Variance Analysis of Error Characteristics of MEMS Inertial Sensors for an FPGA-based GPS/INS System; International Symposium on GPS/GNSS, Tokyo, 2008.
- Hasnur-Rabiain, A. Performance Evaluation of MEMS based INS/GPS Integration. Master’s Thesis, The University of Melbourne, Melbourne 2010.
- Hou, H. Modeling Inertial Sensors Errors Using Allan Variance. Master’s thesis, Department of Geomatics Engineering, University of Calgary, Calgary, 2004.
- El-Diasty, M.; Pagiataki, S. Calibration and Stochastic Modelling of Inertial Navigation Sensor Errors. J. Global Positioning Systems 2008, 7 (2), 170–182.
- Wis, M.; Colomina, I. Dynamic Dependent IMU Stochastic Modeling for Enhanced INS/GNSS Navigation. 5th ESA Workshop on Satellite Navigation Technologies and European Workshop on GNSS Signals and Signal Processing (NAVITEC), Noordwijk, Netherlands, 2010.
- Jain, S.; Nandy, S.; Chakraborty, G.; Kumar, C.; Ray, R.; Shome, S. Error Modeling of Various Sensors for Robotics Application using Allan Variance Technique; IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC), Shaanxi, 2011 China.
- Galleani, L.; Tavella, P. The Dynamic Allan Variance. IEEE Trans. Ultrason. Ferroelectr. Freq. Control 2009, 56, 450–464.
- Galleani, L. The Dynamic Allan Variance II: A Fast Computational Algorithm. IEEE Trans. Ultrason. Ferroelectr. Freq. Control 2010, 57, 182–188.
- Galleani, L. The dynamic Allan Variance III: Confidence and Detection Surfaces. IEEE Trans. Ultrason. Ferroelectr. Freq. Control 2011, 58, 1550–1558.
- Hjortsmarker, N. Experimental System for Validating GPS/INS Integration Algorithms; Master’s Thesis, Computer Science and Electrical Engineering, Lulea University of Technology, Lulea, 2005.
- Stockwell, W. Bias Stability Measurement: Allan Variance; Technical Report, Crossbow Technology, Inc., 2004. http://www.xbow.com/Literature/Application_Notes_Papers/Gyro_Bias_Stability_Measurement_using_Allan_Variance.pdf.
- Stockwell, W. Angle Random Walk; Technical Report, Crossbow Technology, Inc., 2004. http://bullseye.xbow.com:81/Support/Support_pdf_files/AngleRandomWalkAppNote.pdf.
- Niu, X.; Goodall, C.; Nassar, S.; El-Sheimy, N. An Efficient Method for Evaluating the Performance of MEMS IMUs; IEEE/ION Position, Location and Navigation Symposium, San Diego, CA, 2006.
- Kealy, A.; Retscher, G.; Alam, N.; Hasnur-Rabiain, A.; Toth, C.; Grejner-Brzezinska, D.; Moore, T.; Chris Hill, C.; Gikas, V.; Chris Hide, C.; Danezis, C.; Bonenberg, L.; Roberts, G. W. Collaborative Navigation with Ground Vehicles and Personal Navigators. International Conference on Indoor Positioning and Indoor Navigation, Sydney, Australia, 2012.
- Farrell, J.A. Aided Navigation: GPS with High Rate Sensors; The McGraw-Hill Companies, New York, NY, 2008.