Optimized Position Estimation in Mobile Multipath Environments Using Machine Learning

REFERENCES

1. ↵
   1. Barreto, G. A., &
   2. Araujo, A. F. R.

   (2004). Identification and control of dynamical systems using the self-organizing map. IEEE Transactions on Neural Networks, 15(5), 1244–1259. https://doi.org/10.1109/TNN.2004.832825

   PubMed
2. ↵
   1. Bradbury, J.,
   2. Ziebart, M.,
   3. Cross, P.,
   4. Boulton, P., &
   5. Read, A.

   (2007). Code multipath modelling in the urban environment using large virtual reality city models: determining the local environment. The Journal of Navigation, 60(1), 95–105. https://doi.org/10.1017/S0373463307004079
3. ↵
   1. Closas, P.,
   2. Fernandez-Prades, C., &
   3. Fernandez-Rubio, J. A.

   (2009). A Bayesian approach to multipath mitigation in GNSS receivers. IEEE Journal of Selected Topics in Signal Processing, 3(4), 695–706. https://doi.org/10.1109/JSTSP.2009.2023831
4. ↵
   1. Garin, L., &
   2. Rousseau, J. -M.

   (1997). Enhanced strobe correlator multipath rejection for code & carrier. Proc. of the 10th International Technical Meeting of the Satellite Division of the Institute of Navigation (ION GPS 1997), Kansas City, MO, 559–568. https://www.ion.org/publications/abstract.cfm?articleID=2800
5. ↵
   1. Garin, L.,
   2. van Diggelen, F., &
   3. Rousseau, J. -M.

   (1996). Strobe and edge correlator multipath mitigation for code. Proc. of the 9th International Technical Meeting of the Satellite Division of the Institute of Navigation (ION GPS 1996), Kansas City, MO, 657–664. https://www.ion.org/publications/abstract.cfm?articleID=2597
6. ↵
   1. Giremus, A.,
   2. Tourneret, J. -Y., &
   3. Calmettes, V.

   (2007). A particle filtering approach for joint detection/estimation of multipath effects on GPS measurements. IEEE Transactions on Signal Processing, 55(4), 1275–1285. https://doi.org/10.1109/TSP.2006.888895
7. ↵
   1. Groves, P. D.,
   2. Zhong, Q.,
   3. Faragher, R., &
   4. Esteves, P.

   (2020). Combining inertially-aided extended coherent integration (supercorrelation) with 3D-mapping-aided GNSS. Proc. of the 33rd International Technical Meeting of the Satellite Division of the Institute of Navigation (ION GNSS+ 2020), 2327–2346. https://doi.org/10.33012/2020.17767
8. ↵
   1. Hsu, L. -T.,
   2. Gu, Y., &
   3. Kamijo, S.

   (2016). 3D building model-based pedestrian positioning method using GPS/GLONASS/QZSS and its reliability calculation. GPS Solutions, 20, 413–428. https://doi.org/10.1007/s10291-015-0451-7
9. ↵
   1. Hsu, L. -T.,
   2. Jan, S. -S.,
   3. Groves, P. D., &
   4. Kubo, N.

   (2015). Multipath mitigation and NLOS detection using vector tracking in urban environments. GPS Solutions, 19, 249–262. https://doi.org/10.1007/s10291-014-0384-6
10. ↵
    1. Hwang, P. Y., &
    2. Brown, R. G.

    (2006). RAIM-FDE revisited: a new breakthrough in availability performance with NIORAIM (novel integrity-optimized RAIM). NAVIGATION, 53(1), 41–51. https://doi.org/10.1002/j.2161-4296.2006.tb00370.x
11. ↵
    1. Jiang, Z.,
    2. Groves, P. D.,
    3. Ochieng, W. Y.,
    4. Feng, S.,
    5. Milner, C. D., &
    6. Mattos, P. G.

    (2011). Multi-constellation GNSS multipath mitigation using consistency checking. Proc. of the 24th International Technical Meeting of the Satellite Division of the Institute of Navigation (ION GNSS 2011), Portland, OR, 3889–3902. https://www.ion.org/publications/abstract.cfm?articleID=9944
12. ↵
    1. Kohonen, T.

    (1990). The self-organizing map. Proceedings of the IEEE, 78(9), 1464–1480. https://doi.org/10.1109/5.58325

    CrossRefWeb of Science
13. ↵
    1. Kohonen, T.

    (2001). Self-organizing maps (3rd ed.). Springer-Verlag.
14. ↵
    1. Lau, L., &
    2. Cross, P.

    (2007). Development and testing of a new ray-tracing approach to GNSS carrier-phase multipath modelling. Journal of Geodesy, 81, 713–732. https://doi.org/10.1007/s00190-007-0139-z
15. ↵
    1. Lesouple, J.,
    2. Robert, T.,
    3. Sahmoudi, M.,
    4. Tourneret, J. -Y., &
    5. Vigneau, W.

    (2019). Multipath mitigation for GNSS positioning in an urban environment using sparse estimation. IEEE Transactions on Intelligent Transportation Systems, 20(4), 1316–1328. https://doi.org/10.1109/TITS.2018.2848461
16. ↵
    1. Li, D.,
    2. Zhang, P.,
    3. Zhao, J.,
    4. Cheng, J., &
    5. Zhao, H.

    (2019). MP mitigation in GNSS positioning by GRU NNs and adaptive wavelet filtering. IET Communications, 13(17), 2756–2766. https://doi.org/10.1049/iet-com.2018.5792
17. ↵
    1. McGraw, G. A.,
    2. Groves, P. D., &
    3. Ashman, B. W.

    (2020). Robust positioning in the presence of multipath and NLOS GNSS signals. In Y. T. J. Morton, F. van Diggelen, J. J. Spilker Jr., B. W. Parkinson, S. Lo, & G. Gao (Eds.), Position, navigation, and timing technologies in the 21st century: integrated satellite navigation, sensor systems, and civil applications (Vol. 1, pp. 551–589). John Wiley & Sons, Ltd. https://doi.org/10.1002/9781119458449.ch22
18. ↵
    1. Miura, S.,
    2. Hisaka, S., &
    3. Kamijo, S.

    (2013). GPS multipath detection and rectification using 3D maps. 16th International IEEE Conference on Intelligent Transportation Systems, The Hague, Netherlands. https://doi.org/10.1109/ITSC.2013.6728447
19. ↵
    1. Orolia

    . (2020). Skydel software-defined GNSS simulator user manual. http://manuals.spectracom.com/skydel
20. ↵
    1. Papadimitriou, S.,
    2. Mavroudi, S.,
    3. Vladutu, L., &
    4. Bezerianos, A.

    (2001). Ischemia detection with a self-organizing map supplemented by supervised learning. IEEE Transactions on Neural Networks, 12(3), 503–515. https://doi.org/10.1109/72.925554

    PubMed
21. ↵
    1. Parkinson, B. W., &
    2. Axelrad, P.

    (1988). Autonomous GPS integrity monitoring using the pseudorange residual. NAVIGATION, 35(2), 255–274. https://doi.org/10.1002/j.2161-4296.1988.tb00955.x
22. ↵
    1. Polzlbauer, G.,
    2. Lidy, T., &
    3. Rauber, A.

    (2008). Decision manifolds--a supervised learning algorithm based on self-organization. IEEE Transactions on Neural Networks, 19(9), 1518–1530. https://doi.org/10.1109/TNN.2008.2000449

    PubMed
23. ↵
    1. Smolyakov, I.,
    2. Rezaee, M., &
    3. Langley, R. B.

    (2020). Resilient multipath prediction and detection architecture for low-cost navigation in challenging urban areas. NAVIGATION, 67(2), 397–409. https://doi.org/10.1002/navi.362
24. ↵
    1. Song, T.,
    2. Jamshidi, M. M.,
    3. Lee, R. R., &
    4. Huang, M.

    (2007). A modified probabilistic neural network for partial volume segmentation in brain MR image. IEEE Transactions on Neural Networks, 18(5), 1424–1432. https://doi.org/10.1109/TNN.2007.891635

    PubMed
25. ↵
    1. Steingass, A.,
    2. Krach, B., &
    3. Crisci, M.

    (2017). Robustness versus accuracy: multipath effects on land mobile satellite navigation. IET Radar, Sonar & Navigation, 11(3), 520–527. https://doi.org/10.1049/iet-rsn.2016.0361
26. ↵
    1. van Nee, R. D. J.

    (1992). The multipath estimating delay lock loop. IEEE Second International Symposium on Spread Spectrum Techniques and Applications (ISSTA), Yokohama, Japan. https://doi.org/10.1109/ISSSTA.1992.665623
27. ↵
    1. Vesanto, J., &
    2. Alhoniemi, E.

    (2000). Clustering of the self-organizing map. IEEE Transactions on Neural Networks, 11(3), 586–600. https://doi.org/10.1109/72.846731

    CrossRefPubMedWeb of Science
28. ↵
    1. Wang, L.,
    2. Groves, P. D., &
    3. Ziebart, M. K.

    (2013). GNSS shadow matching: improving urban positioning accuracy using a 3D city model with optimized visibility scoring scheme. NAVIGATION, 60(3), 195–207. https://doi.org/10.1002/navi.38
29. ↵
    1. Wen, W.,
    2. Zhang, G., &
    3. Hsu, L. -T.

    (2019). Correcting NLOS by 3D lidar and building height to improve GNSS single point positioning. NAVIGATION, 66(4), 705–718. https://doi.org/10.1002/navi.335
30. ↵
    1. Xu, B.,
    2. Jia, Q., &
    3. Hsu, L. -T.

    (2020). Vector tracking loop-based GNSS NLOS detection and correction: algorithm design and performance analysis. IEEE Transactions on Instrumentation and Measurement, 69(7), 4604–4619. https://doi.org/10.1109/TIM.2019.2950578
31. ↵
    1. Yozevitch, R., &
    2. ben-Moshe, B.

    (2015). A robust shadow matching algorithm for GNSS positioning. NAVIGATION, 62(2), 95–109. https://doi.org/10.1002/navi.85
32. ↵
    1. Yu, J. Y.

    (1998). Fault detection and exclusion used in a Global Positioning System GPS Receiver (U.S. Patent No. 5841399A).
33. ↵
    1. Zhang, M., &
    2. Zhang, J.

    (2009). A fast satellite selection algorithm: beyond four satellites. IEEE Journal of Selected Topics in Signal Processing, 3(5), 740–747. https://doi.org/10.1109/JSTSP.2009.2028381
34. ↵
    1. Ziedan, N. I.

    (2006). GNSS receivers for weak signals. Artech House.
35. ↵
    1. Ziedan, N. I.

    (2011). Multi-frequency combined processing for direct and multipath signals tracking based on particle filtering. Proc. of the 24th International Technical Meeting of the Satellite Division of the Institute of Navigation (ION GNSS 2011), Portland, OR, 1090–1101. https://www.ion.org/publications/abstract.cfm?articleID=9666
36. ↵
    1. Ziedan, N. I.

    (2014). Modeling and analysis of composite multipath characteristics for a Bayesian-based dense multipath mitigation algorithm. Proc. of the 27th International Technical Meeting of the Satellite Division of the Institute of Navigation (ION GNSS+ 2014), Tampa, FL, 2754–2766. https://www.ion.org/publications/abstract.cfm?articleID=12528
37. ↵
    1. Ziedan, N. I.

    (2017). Urban positioning accuracy enhancement utilizing 3D buildings model and accelerated ray tracing algorithm. Proc. of the 30th International Technical Meeting of the Satellite Division of the Institute of Navigation (ION GNSS+ 2017), Portland, OR, 3253–3268. https://doi.org/10.33012/2017.15366
38. ↵
    1. Ziedan, N. I.

    (2018). Improved multipath and NLOS signals identification in urban environments. NAVIGATION, 65(3), 449–462. https://doi.org/10.1002/navi.257
39. ↵
    1. Ziedan, N. I.

    (2019). Enhancing GNSS mobile positioning in urban environments through utilization of multipath prediction and consistency analysis. Proc. of the 32nd International Technical Meeting of the Satellite Division of the Institute of Navigation (ION GNSS+ 2019), Miami, FL, 3469–3483. https://doi.org/10.33012/2019.16929
40. ↵
    1. Ziedan, N. I.

    (2020). Integrating GNSS signal tracking and map-matching for reflected and diffracted signals mitigation in urban environments. Proc. of the 33rd International Technical Meeting of the Satellite Division of the Institute of Navigation (ION GNSS+ 2020), 3012–3026. https://doi.org/10.33012/2020.17666
41. ↵
    1. Ziedan, N. I.

    (2022). A novel model for multipath delay estimation and Its application to a modified optimized position estimation algorithm. Proc. of the 35th International Technical Meeting of the Satellite Division of the Institute of Navigation (ION GNSS+ 2022), Denver, CO, 2138–2152. https://doi.org/10.33012/2022.18334
42. ↵
    1. Ziedan, N. I., &
    2. Garrison, J. L.

    (2008). System and method for acquiring weak signals in a global positioning satellite system (US Patent No. 7,358,895). https://patents.google.com/patent/US20070046534A1/en
43. ↵
    1. Ziedan, N. I., &
    2. Garrison, J. L.

    (2009). Method and apparatus for detecting and processing Global Positioning System (GPS) signals [US Patent No. 7,545,894]. https://patents.google.com/patent/US7545894B2/en?inventor=Nesreen+Ziedan
44. ↵
    1. Ziedan, N. I., &
    2. Garrison, J. L.

    (2011). System and method for high dynamic acquisition and tracking of signals from the Global Positioning System [US Patent No. 8,031,112]. https://patents.google.com/patent/US20060115022A1/en