1. Larson, K. M., E. D. Gutmann, A. L. Bilich, J. J. Braun, and V. U. Zavorotny, "Use of GPS receivers as a soil moisture network for water cycle studies," Geophysical Research Letters, Vol. 35, No. 24, 1-5, 2008.
doi:10.1029/2008GL036013 Google Scholar
2. Larson, K. M., J. J. Braun, E. E. Small, V. U. Zavorotny, E. D. Gutmann, and A. L. Bilich, "GPS multipath and its relation to near-surface soil moisture content," IEEE J-STARS, Vol. 3, No. 1, 91-99, 2010. Google Scholar
3. Larson, K. M., E. D. Gutmann, V. U. Zavorotny, J. J. Braun, M. W. Williams, and F. G. Nievinski, "Can we measure snow depth with GPS receivers?," Geophysical Research Letters, Vol. 36, No. 17, 1-5, 2009.
doi:10.1029/2009GL039430 Google Scholar
4. Chamoli, V., R. Prakash, A. Vidyarthi, and A. Ray, "Capability of NavIC, an Indian GNSS constellation, for retrieval of surface soil moisture," Progress In Electromagnetics Research C, Vol. 106, 255-270, 2020.
doi:10.2528/PIERC20090904 Google Scholar
5. Zhang, S., N. Roussel, K. Boniface, M. C. Ha, F. Frappart, J. Darrozes, and J. C. Calvet, "Use of re ected GNSS SNR data to retrieve either soil moisture or vegetation height from a wheat crop," Hydrology and Earth System Science, Vol. 21, 4767-4784, 2017.
doi:10.5194/hess-21-4767-2017 Google Scholar
6. Zhang, S., J. C. Calvet, J. Darrozes, N. Roussel, F. Frappart, and G. Bouhours, "Deriving surface soil moisture from reflected GNSS signal observations from a grassland site in south western France," Hydrology and Earth System Science, Vol. 22, 1931-1946, 2018.
doi:10.5194/hess-22-1931-2018 Google Scholar
7. Larson, K. M., E. E. Small, E. Gutmann, A. Bilich, P. Axelrad, and J. Braun, "Using GPS multipath to measure soil moisture fluctuations: Initial results," GPS Solutions, Vol. 12, 173-177, 2008b.
doi:10.1007/s10291-007-0076-6 Google Scholar
8. Rodriguez-Alvarez, N., X. Bosch-Lluis, A. Camps, M. Vall-Llossera, M. Valencia, J. F. Marchan-Hernandez, and I. Ramos-Perez, "Soil moisture retrieval using GNSS-R techniques: Experimental results over a bare soil field," IEEE Transactions on Geoscience and Remote Sensing, Vol. 47, No. 11, 3616-3624, 2009.
doi:10.1109/TGRS.2009.2030672 Google Scholar
9. Larson, K. M., E. E. Small, E. D. Gutmann, A. L. Bilich, J. J. Braun, and V. U. Zavorotny, "GPS multipath and its relation to near-surface soil moisture content," IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol. 3, No. 1, 91-99, 2010.
doi:10.1109/JSTARS.2009.2033612 Google Scholar
10. Mironov, K. and V. L. Muzalevskiy, "New algorithm for retrieval of soil moisture and surface roughness from GNSS reflectometry," 2012 IEEE International Geoscience and Remote Sensing Symposium, Vol. 1, 7530-7532, 2012.
doi:10.1109/IGARSS.2012.6351889 Google Scholar
11. Yan, S., Z. Li, K. Yu, and K. Zhang, "GPS-R L1 interference signal processing for soil moisture estimation: An experimental study," EURASIP Journal on Advances in Signal Processing, Vol. 1, 1-13, 2012. Google Scholar
12. Chamoli, V., R. Prakash, A. Vidyarthi, and A. Ray, "Sensitivity of NavIC signal for soil moisture variation," International Conference on Emerging Trends in Computing and Communication Technologies, 1-4, IEEE, 2017. Google Scholar
13. Chamoli, V., R. Prakash, A. Vidyarthi, and A. Ray, "Capability of NavIC, an Indian GNSS constellation, for retrieval of surface soil moisture," Progress In Electromagnetics Research C, Vol. 106, 255-270, 2020.
doi:10.2528/PIERC20090904 Google Scholar
14. Chew, C., E. E. Small, and K. M. Larson, "An algorithm for soil moisture estimation using GPS-interferometric reflectometry for bare and vegetated soil," GPS Solutions, Vol. 20, 525-537, 2015. Google Scholar
15. Wan, W., K. M. Larson, E. E. Small, C. C. Chew, and J. J. Braun, "Using geodetic GPS receivers to measure vegetation water content," GPS Solutions, Vol. 19, 237-248, 2015.
doi:10.1007/s10291-014-0383-7 Google Scholar
16. Zhang, S., J.-C. Calvet, J. Darrozes, N. Roussel, F. Frédéric, and G. Bouhours, "Deriving surface soil moisture from re ected GNSS signal observations from a grassland site in southwestern France," Hydrology and Earth System Sciences, Vol. 22, 1931-1946, 2018.
doi:10.5194/hess-22-1931-2018 Google Scholar
17. Alibakhshikenari, M., et al. "A comprehensive survey on ``Various decoupling mechanisms with focus on metamaterial and metasurface principles applicable to SAR and MIMO antenna systems"," IEEE Access, Vol. 8, 192965-193004, 2020, doi: 10.1109/ACCESS.2020.3032826.
doi:10.1109/ACCESS.2020.3032826 Google Scholar
18. Nadeem, I., et al. "A comprehensive survey on ``circular polarized antennas" for existing and emerging wireless communication technologies," Journal of Physics D: Applied Physics, 2021. Google Scholar
19. Alibakhshikenari, M., "A comprehensive survey of ``Metamaterial transmission-line based antennas: Design, challenges, and applications"," IEEE Access, Vol. 8, 144778-144808, 2020, doi: 10.1109/ACCESS.2020.3013698.
doi:10.1109/ACCESS.2020.3013698 Google Scholar
20. Bhardwaj, S. C., A. Vidyarthi, B. S. Jassal, and A. K. Shukla, "Study of temporal variation of vertical TEC using NavIC data," 2017 International Conference on Emerging Trends in Computing and Communication Technologies (ICETCCT), 1-5, Dehradun, 2017. Google Scholar
21. Chamoli, V., R. Prakash, A. Vidyarthi, and S. Barthwal, "Ground truth soil moisture estimation along with minimal drizzling time," International Journal of Modern Agriculture, Vol. 10, No. 2, 2692-2698, 2021. Google Scholar
22. Chamoli, V., R. Prakash, A. Vidyarthi, and A. Ray, "Analysis of NavIC multipath signal sensitivity for soil moisture in presence of vegetation," International Conference on Innovative Computing and Communications, Vol. 2, 353-364, Springer, Singapore, 2020. Google Scholar
23. Mironov, K. and V. L. Muzalevskiy, "New algorithm for retrieval of soil moisture and surface roughness from GNSS reflectometry," 2012 IEEE International Geoscience and Remote Sensing Symposium, Vol. 1, 7530-7532, 2012.
doi:10.1109/IGARSS.2012.6351889 Google Scholar
24. Yan, S., Z. Li, K. Yu, and K. Zhang, "GPS-R L1 interference signal processing for soil moisture estimation: An experimental study," EURASIP Journal on Advances in Signal Processing, Vol. 1, 1-13, 2012. Google Scholar
25. Roussel, N., F. Frédéric, D. José, B. Frédéric, L. Laurent, and C. Minh, "Detection of soil moisture variations using GPS and GLONASS SNR data for elevation angles ranging from 2 to 70," IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol. 9, 4781-4794, 2016.
doi:10.1109/JSTARS.2016.2537847 Google Scholar
26. Lomb, N. R., "Least-squares frequency analysis of unequally spaced data," Astrophysics and Space Science, Vol. 39, 447-462, 1976.
doi:10.1007/BF00648343 Google Scholar
27. Scargle, J. D., "Studies in astronomical time series analysis. II --- Statistical aspects of spectral analysis of unevenly spaced data," The Astrophysical Journal, Vol. 263, 835-853, 1982.
doi:10.1086/160554 Google Scholar
28. Press, W. H. and G. B. Rybicki, "Fast algorithm for spectral analysis of unevenly sampled data," The Astrophysical Journal, Vol. 338, 277-280, 1989.
doi:10.1086/167197 Google Scholar
29. Wu, X., S. Jin, and J. Xia, "A forward GPS multipath simulator based on the vegetation radiative transfer equation model," Sensors, Vol. 17, 1291, 2017.
doi:10.3390/s17061291 Google Scholar