Reference Satellite Strategic Methods to Improve Position Accuracy of Rover with Resolved Integer Ambiguities Using Linear Combination in DIRNSS System

Document Type: Research Note


Department of ECE, ANU College of Engineering and Technology, Acharya Nagarjuna University, Guntur, India


IRNSS is a regional system designed to procure, an accurate user position in all circumstances with 24/7 coverage. This system is used in a wide range of applications with accuracy better than 20 meters in the primary service area. The IRNSS provided position, velocity, and timing services are useful for the Indian users and also the users 1500km from the Indian frontier. The accurate positioning in the phase measurement technique depends on the resolution of ambiguities. In this paper, the main focus is on the effective resolution of ambiguities and thereby position estimation. This paper proposes a Carrier Phase (CP) differencing based Wide Lane (WL) measurement. To resolve the ambiguities, estimate the position of the WL classified methods, Single Frequency Single Difference (SFSD), Single Frequency Double Difference (SFDD), Dual Frequency Single Difference (DFSD), and Dual Frequency Double Difference (DFDD) are used. These four types are processed through the Reference Base and Reference Satellite (RBARS) algorithm to estimate the position of the user/rover. In this paper, direct amalgamate of three estimations are utilized: WL, Narrow Lane (NL), and Ionosphere Free (IF) carrier phase estimations. Using this combination, the estimations of ambiguities are determined for individual satellites by utilizing WL and NL techniques. Thereby the user/rover position is computed, by assessing these real number ambiguities. In this work, every single condition is utilized and together with the least-squares modifications, the positional errors are computed in 3D plane. The computed root mean square errors are compared for all classified methods.


  1. Wang Kan, Pei Chen, Safoora Zaminpardaz, and Peter J. G. Teunissen, “Precise regional L5 positioning with IRNSS and QZSS: stand-alone and combined”, GPS Solutions, Vol. 23, No. 1, (2019), doi: 10.1007/s10291-018-0800-4
  2. Ch. Rajasekhar, V. B. S. Srilatha Indira Dutt, and G. Sasibhushana Rao, “Investigation of Best Satellite–Receiver Geometry to Improve Positioning Accuracy Using GPS and IRNSS Combined Constellation over Hyderabad Region”, Springer, Wireless Personal Communications, Vol. 88, No. 2, (2016), 385-393, doi: 10.1007/s11277-015-3126-3
  3. M.R Mosavi, “Applying Genetic Algorithm to Fast and Precise Selection of GPS satellites”, Asian Journal of Applied Sciences, Vol. 4, No. 3, (2011), 229-237, doi: 10.3923/ajaps.2011.229.237
  4. Nykiel, Grzegorz, and Mariusz Figurski, "Precise point positioning method based on wide-lane and narrow-lane phase observations and between satellites single differencing", In Proceedings of the 2016 International Technical Meeting, ION ITM, (2016), 25-28, doi: 10.33012/2016.13494
  5. Héroux, Pierre, and Jan Kouba, “GPS precise point positioning using IGS orbit products”, Physics and Chemistry of the Earth, Part A: Solid Earth and Geodesy, Vol. 26, No. 6-8, (2001), 573-578, doi: 10.1016/S1464-1895(01)00103-X
  6. S. N. Parveen and P. Siddaiah, "Ambiguity Resolution and Distance Error Analysis in DIRNSS System Using Dual carrier Wide Lane," 2020 International Conference on Artificial Intelligence and Signal Processing (AISP), Amaravati, India, (2020), 1-6, doi: 10.1109/AISP48273.2020.9073324
  7. Ali Valizadeh and Hojatollah Hamidi, "Improvement of Navigation Accuracy using Tightly Coupled Kalman Filter," International Journal of Engineering, Transactions B: Applications, Vol. 30, No. 2, (2017), 215-223, doi: 10.5829/idosi.ije.2017.30.02b.08
  8. Pratap Misra, and Per Enge, “Global Positioning System: Signals, Measurements, and Performance”, Revised 2nd edition, 2012, doi: 10.1007/BF02106512
  9. Oscar L. Colombo, Manuel Hernandez Pajares, J. Miguel Juan, and Jaume Sanz, "Wide‐Area, Carrier‐Phase Ambiguity Resolution Using a Tomographic Model of the Ionosphere", Navigation, Vol. 49, No. 1, (2002), 61-69, doi: 10.1002/j.2161-4296.2002.tb00255.x
  10. Feng, Yanming, and Chris Rizos. "Network-based geometry-free three carrier ambiguity resolution and phase bias calibration." GPS Solutions, Vol. 13, No. 1, (2009), 43-56, doi: 10.1007/s10291-008-0098-8
  11. Fabian de Ponte Muller, Diego Navarro Tapia, and Matthias Kranz, “Precise Relative Positioning of Vehicles with On-the-Fly Carrier Phase Resolution and Tracking”, Hindawi Publishing Corporation, International Journal of Distributed Sensor Networks, Vol. 11, No. 11, (2015), doi: 10.1155/2015/459142
  12. Feng Yanming, and LI Bo Feng, “Wide-area real-time kinematic decimeter positioning with multiple carrier GNSS signals”, Science China Earth Sciences, Vol. 53, No. 5, (2010), 731-740, doi: 10.1007/s11430-010-0032-0
  13. Temiissen, P. J. G, "The least-squares ambiguity decorrelation adjustment: a method for fast GPS integer ambiguity estimation", Journal of Geodesy, Vol. 70, (1995), 65-82, doi: 10.1007/BF00863419