© The Institution of Engineering and Technology
Owing to the existence of non-line-of-sight (NLOS) signals in global navigation satellite system (GNSS) challenged environment, the real-time kinematic (RTK) position precision is seriously damaged. In order to improve the position accuracy, the authors propose a robust positioning method which tackles this problem by detecting the NLOS through a decision tree and estimating the double-differenced multipath errors in real time. The NLOS detection performance of the proposed method is 95.64%. The field experiment shows that the ambiguity fixing rate has improved by 43% in the instantaneous mode, and the 3D position accuracy is about 81.77% higher better than that of normal RTK method which is implemented by using RTKLIB software.
References
-
-
1)
-
8. Groves, P.: ‘Shadow matching: a new GNSS positioning technique for urban canyons’, J. Navig., 2011, 64, (3), pp. 417–430 (doi: 10.1017/S0373463311000087).
-
2)
-
9. Yozevitch, R., Ben Moshe, B., Weissman, A.: ‘A robust GNSS LOS/NLOS signal classifier’, Navigation, 2016, 64, (3), pp. 429–442, (doi: 10.1002/navi.166).
-
3)
-
7. Areeyapinun, T., Kitani, T.: ‘A prototype of a precision forecasting system for real-time navigation with RTK-GNSS’. Proc. of the 11th Int. Workshop on Informatics (IWIN2017), Zagreb, Croatia, 2017, pp. 193–200.
-
4)
-
10. Hsu, L., Jan, S., Groves, P.D., et al: ‘Multipath mitigation and NLOS detection using vector tracking in urban environments’, GPS Solut., 2015, 19, pp. 249–262, (doi: 10.1007/s10291-014-0384-6).
-
5)
-
11. Yedukondalu, K., Sarma, A.D., Kumar, A.: ‘Mitigation of GPS multipath error using recursive least squares adaptive filtering’. 2010 IEEE Asia Pacific Conf. on Circuits and Systems, Kuala Lumpur, 2010, pp. 104–107, doi: 10.1109/APCCAS.2010.5775022.
-
6)
-
4. Abolfathi Momtaz, A., Behnia, F., Amiri, R., et al: ‘NLOS identification in range-based source localization: statistical approach’, IEEE Sens. J., 2018, 18, (9), pp. 3745–3751, (doi: 10.1109/JSEN.2018.2810257).
-
7)
-
13. Lesouple, J., Robert, Y., Sahmoudi, M., et al: ‘Multipath mitigation for GNSS positioning in an urban environment using sparse estimation’, IEEE Trans. Intell. Transp. Syst., 2019, 20, (4), pp. 1316–1328, (doi: 10.1109/TITS.2018.2848461).
-
8)
-
3. Groves, P.: ‘Multipath vs. NLOS signals. How does non-line-of-sight reception differ from multipath interference’, Inside GNSS Mag., 2013, 8, pp. 40–42.
-
9)
-
6. Egea-Roca, D., Tripiana-Caballero, A., López-Salcedo, J.A., et al: ‘GNSS measurement exclusion and weighting with a dual polarized antenna: the FANTASTIC project’. 2018 8th Int. Conf. on Localization and GNSS (ICL-GNSS), Guimaraes, 2018, pp. 1–6, doi: 10.1109/ICL-GNSS.2018.8440897.
-
10)
-
5. Hsu, L.: ‘Analysis and modeling GPS NLOS effect in highly urbanized area’, GPS Solut., 2018, 22, p. 7, (doi: 10.1007/s10291-017-0667-9).
-
11)
-
2. Ollander, S., Bode, F., Baum, M.: ‘Multi-frequency GNSS signal fusion for minimization of multipath and non-line-of-sight errors: a survey’. 2018 15th Workshop on Positioning, Navigation and Communications (WPNC), Bremen, 2018, pp. 1–6, doi: 10.1109/WPNC.2018.8555856.
-
12)
-
14. Ahmad, K.A., Sahmoudi, M., Macabiau, C., et al: ‘Reliable GNSS positioning in mixed LOS/NLOS environments using a 3D Model'. European Navigation conf. (ENC 2013), Vienne, Austria, 2013.
-
13)
-
12. Henkel, P., Sperl, A.: ‘Real-time kinematic positioning for unmanned air vehicles’. 2016 IEEE Aerospace Conf., Big Sky, MT, 2016, pp. 1–7, doi: 10.1109/AERO.2016.7500933.
-
14)
-
1. Kbayer, N., Sahmoudi, M.: ‘Performances analysis of GNSS NLOS bias correction in urban environment using a three-dimensional city model and GNSS simulator’, IEEE Trans. Aerosp. Electron. Syst., 2018, 54, (4), pp. 1799–1814, (doi: 10.1109/TAES.2018.2801658).
http://iet.metastore.ingenta.com/content/journals/10.1049/el.2020.2210
Related content
content/journals/10.1049/el.2020.2210
pub_keyword,iet_inspecKeyword,pub_concept
6
6