submit Submit login
Vol. 130
Latest Volume
All Volumes
PIERM 132 [2025] PIERM 131 [2025] PIERM 130 [2024] PIERM 129 [2024] PIERM 128 [2024] PIERM 127 [2024] PIERM 126 [2024] PIERM 125 [2024] PIERM 124 [2024] PIERM 123 [2024] PIERM 122 [2023] PIERM 121 [2023] PIERM 120 [2023] PIERM 119 [2023] PIERM 118 [2023] PIERM 117 [2023] PIERM 116 [2023] PIERM 115 [2023] PIERM 114 [2022] PIERM 113 [2022] PIERM 112 [2022] PIERM 111 [2022] PIERM 110 [2022] PIERM 109 [2022] PIERM 108 [2022] PIERM 107 [2022] PIERM 106 [2021] PIERM 105 [2021] PIERM 104 [2021] PIERM 103 [2021] PIERM 102 [2021] PIERM 101 [2021] PIERM 100 [2021] PIERM 99 [2021] PIERM 98 [2020] PIERM 97 [2020] PIERM 96 [2020] PIERM 95 [2020] PIERM 94 [2020] PIERM 93 [2020] PIERM 92 [2020] PIERM 91 [2020] PIERM 90 [2020] PIERM 89 [2020] PIERM 88 [2020] PIERM 87 [2019] PIERM 86 [2019] PIERM 85 [2019] PIERM 84 [2019] PIERM 83 [2019] PIERM 82 [2019] PIERM 81 [2019] PIERM 80 [2019] PIERM 79 [2019] PIERM 78 [2019] PIERM 77 [2019] PIERM 76 [2018] PIERM 75 [2018] PIERM 74 [2018] PIERM 73 [2018] PIERM 72 [2018] PIERM 71 [2018] PIERM 70 [2018] PIERM 69 [2018] PIERM 68 [2018] PIERM 67 [2018] PIERM 66 [2018] PIERM 65 [2018] PIERM 64 [2018] PIERM 63 [2018] PIERM 62 [2017] PIERM 61 [2017] PIERM 60 [2017] PIERM 59 [2017] PIERM 58 [2017] PIERM 57 [2017] PIERM 56 [2017] PIERM 55 [2017] PIERM 54 [2017] PIERM 53 [2017] PIERM 52 [2016] PIERM 51 [2016] PIERM 50 [2016] PIERM 49 [2016] PIERM 48 [2016] PIERM 47 [2016] PIERM 46 [2016] PIERM 45 [2016] PIERM 44 [2015] PIERM 43 [2015] PIERM 42 [2015] PIERM 41 [2015] PIERM 40 [2014] PIERM 39 [2014] PIERM 38 [2014] PIERM 37 [2014] PIERM 36 [2014] PIERM 35 [2014] PIERM 34 [2014] PIERM 33 [2013] PIERM 32 [2013] PIERM 31 [2013] PIERM 30 [2013] PIERM 29 [2013] PIERM 28 [2013] PIERM 27 [2012] PIERM 26 [2012] PIERM 25 [2012] PIERM 24 [2012] PIERM 23 [2012] PIERM 22 [2012] PIERM 21 [2011] PIERM 20 [2011] PIERM 19 [2011] PIERM 18 [2011] PIERM 17 [2011] PIERM 16 [2011] PIERM 14 [2010] PIERM 13 [2010] PIERM 12 [2010] PIERM 11 [2010] PIERM 10 [2009] PIERM 9 [2009] PIERM 8 [2009] PIERM 7 [2009] PIERM 6 [2009] PIERM 5 [2008] PIERM 4 [2008] PIERM 3 [2008] PIERM 2 [2008] PIERM 1 [2008]
2024-12-31
Modeling and Analysis of Delay Doppler Maps for Spaceborne GNSS-R Signal Scattered from Sea Surface
By
Progress In Electromagnetics Research M, Vol. 130, 139-153, 2024
Abstract
The Global Navigation Satellite System Reflected (GNSS-R) Signal adopts a heterogeneous observation mode and utilizes the globally shared GNSS constellation as a multisource microwave signal transmission source, providing the opportunity signals for radar measurements. As a basis for GNSS-R bistatic remote sensing simulations, this paper analyzes wave spectrum model of sea surfaces, GNSS signal scattering model, and GNSS signal scattering power model. The modified Zavorotny and Voronovich (Z-V) model combined with two-scale method (TSM) for sea surface scattering is utilized to simulate delay Doppler map (DDM), with emphasis on the analysis of the effects of wave polarizations, delay Doppler interval, and sea states on DDM of GNSS signal scattered from sea surfaces. The correlated power model of GNSS scattering signal is validated by comparison with measured Cyclone Global Navigation Satellite System (CYGNSS) DDM data in L1 level 2.1 version. The DDM waveforms obtained from Z-V model combined with TSM are basically consistent with the CYGNSS actual data, in which strong scattering spots can be observed clearly from both simulated and measured DDMs. The modeling and analysis of DDM for spaceborne GNSS-R signal from sea surface is of great value in ocean remote sensing applications, particularly for the interpolation and utilization of various spaceborne GNSS measured data.
Citation
Min Chen, Peng-Ju Yang, and Rui Wu, "Modeling and Analysis of Delay Doppler Maps for Spaceborne GNSS-R Signal Scattered from Sea Surface," Progress In Electromagnetics Research M, Vol. 130, 139-153, 2024.
doi:10.2528/PIERM24090802
References

1. Rodriguez-Alvarez, Nereida, Joan Francesc Munoz-Martin, and Mary Morris, "Latest advances in the global navigation satellite system—reflectometry (GNSS-R) field," Remote Sensing, Vol. 15, No. 8, 2157, 2023.

2. Kuschel, Heiner, Diego Cristallini, and Karl Erik Olsen, "Tutorial: Passive radar tutorial," IEEE Aerospace and Electronic Systems Magazine, Vol. 34, No. 2, 2-19, 2019.

3. Hofmann-Wellenhof, Bernhard, Herbert Lichtenegger, and Elmar Wasle, GNSS-Global Navigation Satellite Systems: GPS, GLONASS, Galileo, and More, Springer Science & Business Media, 2007.

4. Carreno-Luengo, Hugo, Adriano Camps, Chris Ruf, Nicolas Floury, Manuel Martin-Neira, Tianlin Wang, Siri Jodha Khalsa, Maria Paola Clarizia, Jennifer Reynolds, Joel Johnson, et al. "The IEEE-SA working group on spaceborne GNSS-R: Scene study," IEEE Access, Vol. 9, 89906-89933, 2021.

5. Hu, Yuan, Zhihao Jiang, Wei Liu, Xintai Yuan, Qinsong Hu, and Jens Wickert, "GNSS-R sea ice detection based on linear discriminant analysis," IEEE Transactions on Geoscience and Remote Sensing, Vol. 61, 1-12, 2023.

6. Hu, Yuan, Xifan Hua, Wei Liu, and Jens Wickert, "Sea ice detection from GNSS-R data based on residual network," Remote Sensing, Vol. 15, No. 18, 4477, 2023.

7. Kim, Seho, James L. Garrison, and Mehmet Kurum, "Retrieval of subsurface soil moisture and vegetation water content from multifrequency soop reflectometry: Sensitivity analysis," IEEE Transactions on Geoscience and Remote Sensing, Vol. 61, 1-18, 2023.

8. Yang, Changzhi, Kebiao Mao, Zhonghua Guo, Jiancheng Shi, Sayed M. Bateni, and Zijin Yuan, "Review of GNSS-R technology for soil moisture inversion," Remote Sensing, Vol. 16, No. 7, 1193, 2024.

9. Ding, Qin, Yueji Liang, Xingyong Liang, Chao Ren, Hongbo Yan, Yintao Liu, Yan Zhang, Xianjian Lu, Jianmin Lai, and Xinmiao Hu, "Soil moisture retrieval using GNSS-IR based on empirical modal decomposition and cross-correlation satellite selection," Remote Sensing, Vol. 15, No. 13, 3218, 2023.

10. Issa, Hamza, Georges Stienne, Serge Reboul, Mohamad Raad, and Ghaleb Faour, "High-rate GNSS reflectometry for water body detection using low altitude airborne carrier," 2021 IEEE Specialist Meeting on Reflectometry using GNSS and other Signals of Opportunity (GNSS+R), 9-12, Beijing, China, Sep. 2021.

11. Chen, Fade, Lilong Liu, Fei Guo, and Liangke Huang, "A new vegetation observable derived from spaceborne GNSS-R and its application to vegetation water content retrieval," Remote Sensing, Vol. 16, No. 5, 931, 2024.

12. Clarizia, M. P., C. P. Gommenginger, S. T. Gleason, M. A. Srokosz, C. Galdi, and M. Di Bisceglie, "Analysis of GNSS‐R delay‐Doppler maps from the UK‐DMC satellite over the ocean," Geophysical Research Letters, Vol. 36, No. 2, 2009.

13. Wang, Feng, Dongkai Yang, Weiqiang Li, and Wei Yang, "On-ground retracking to correct distorted waveform in spaceborne global navigation satellite system-reflectometry," Remote Sensing, Vol. 9, No. 7, 643, 2017.

14. Clarizia, Maria Paola, Christine Gommenginger, Scott Gleason, Carmela Galdi, and Martin Unwin, "Global navigation satellite system-reflectometry (GNSS-R) from the UK-DMC satellite for remote sensing of the ocean surface," IGARSS 2008 --- 2008 IEEE International Geoscience and Remote Sensing Symposium, Vol. 1, I-276, Boston, MA, USA, Jul. 2008.

15. Foti, Giuseppe, Christine Gommenginger, Philip Jales, Martin Unwin, Andrew Shaw, Colette Robertson, and Josep Roselló, "Spaceborne GNSS reflectometry for ocean winds: First results from the UK TechDemoSat‐1 mission," Geophysical Research Letters, Vol. 42, No. 13, 5435-5441, 2015.

16. Rius, Antonio, Estel Cardellach, Fran Fabra, Weiqiang Li, Serni Ribó, and Manuel Hernández-Pajares, "Feasibility of GNSS-R ice sheet altimetry in Greenland using TDS-1," Remote Sensing, Vol. 9, No. 7, 742, 2017.

17. Wickert, J., G. Beyerle, E. Cardellach, C. Förste, T. Gruber, A. Helm, M. P. Hess, P. Høeg, N. Jakowski, O. Montenbruck, et al. "GNSS reflectometry, radio occultation and scatterometry onboard ISS for long-term monitoring of climate observations using innovative space geodetic techniques on-board the international space station," Proposal in Response to Call: ESA Research Announcement for ISS Experiments relevant to study of Global Climate Change, 2011.

18. Ribó, Serni, Juan Carlos Arco-Fernández, Estel Cardellach, Fran Fabra, Weiqiang Li, Oleguer Nogués-Correig, Antonio Rius, and Manuel Martin-Neira, "A software-defined GNSS reflectometry recording receiver with wide-bandwidth, multi-band capability and digital beam-forming," Remote Sensing, Vol. 9, No. 5, 450, 2017.

19. Ruf, C., M. Unwin, J. Dickinson, R. Rose, D. Rose, M. Vincent, and A. Lyons, "CYGNSS: Enabling the future of hurricane prediction [remote sensing satellites]," IEEE Geoscience and Remote Sensing Magazine, Vol. 1, No. 2, 52-67, 2013.

20. Hou, Zhaolu and Zhaoxia Pu, "Assessing CYGNSS satellite soil moisture data for drought monitoring with multiple datasets and indicators," Remote Sensing, Vol. 16, No. 1, 116, 2023.

21. Liu, Qi, Shuangcheng Zhang, Weiqiang Li, Yang Nan, Jilun Peng, Zhongmin Ma, and Xin Zhou, "Using robust regression to retrieve soil moisture from CyGNSS data," Remote Sensing, Vol. 15, No. 14, 3669, 2023.

22. Yu, Kegen, Shuai Han, Jinwei Bu, Yuhang An, Zhewen Zhou, Changyang Wang, Sajad Tabibi, and Joon Wayn Cheong, "Spaceborne GNSS reflectometry," Remote Sensing, Vol. 14, No. 7, 1605, 2022.

23. Blackwell, William J., "NASA tropics pathfinder and constellation mission preparations for launches in 2021 and 2022," 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, 1511-1513, Brussels, Belgium, Jul. 2021.

24. Jing, Cheng, Xinliang Niu, Chongdi Duan, Feng Lu, Guodong Di, and Xiaofeng Yang, "Sea surface wind speed retrieval from the first Chinese GNSS-R mission: Technique and preliminary results," Remote Sensing, Vol. 11, No. 24, 3013, 2019.

25. Zhang, Yun, Ziyu Yan, Shuhu Yang, Wanting Meng, Siqi Gu, Jin Qin, Yanling Han, and Zhonghua Hong, "Research on shore-based river flow velocity inversion model using GNSS-R raw data," Remote Sensing, Vol. 14, No. 5, 1170, 2022.
doi:10.3390/s22031170

26. Garrison, James L., Stephen J. Katzberg, Valery U. Zavorotny, and Dallas Masters, "Comparison of sea surface wind speed estimates from reflected GPS signals with buoy measurements," IGARSS 2000. IEEE 2000 International Geoscience and Remote Sensing Symposium. Taking the Pulse of the Planet: The Role of Remote Sensing in Managing the Environment. Proceedings (Cat. No.00CH37120), Vol. 7, 3087-3089, Honolulu, HI, USA, Jul. 2000.

27. Garrison, James L., Attila Komjathy, Valery U. Zavorotny, and Stephen J. Katzberg, "Wind speed measurement using forward scattered GPS signals," IEEE Transactions on Geoscience and Remote Sensing, Vol. 40, No. 1, 50-65, 2002.

28. Bu, Jinwei, Kegen Yu, Hyuk Park, Weimin Huang, Shuai Han, Qingyun Yan, Nijia Qian, and Yiruo Lin, "Estimation of swell height using spaceborne GNSS-R data from eight CYGNSS satellites," Remote Sensing, Vol. 14, No. 18, 4634, 2022.

29. O'Brien, Andrew and Joel T. Johnson, "Comparing the CYGNSS simulator forward scattering model with TDS-1 and CYGNSS on-orbit DDMS," 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2657-2658, Fort Worth, TX, USA, Jul. 2017.

30. Bai, Weihua, Junming Xia, Danyang Zhao, Yueqiang Sun, Xiangguang Meng, Congliang Liu, Qifei Du, Xianyi Wang, Dongwei Wang, Di Wu, Chunjun Wu, Cheng Liu, and Yuerong Cai, "GREEPS: An GNSS-R end-to-end performance simulator," 2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 4831-4834, Beijing, China, Jul. 2016.

31. Pierdicca, Nazzareno, Leila Guerriero, Roberto Giusto, Marco Brogioni, and Alejandro Egido, "SAVERS: A simulator of GNSS reflections from bare and vegetated soils," IEEE Transactions on Geoscience and Remote Sensing, Vol. 52, No. 10, 6542-6554, 2014.

32. Nabi, M. M., J. D. Campbell, E. Hodges, and M. Moghaddam, "Improved geometric optics with topography (IGOT) model for GNSS-R delay-doppler maps using three-scale surface roughness," Remote Sensing, Vol. 15, No. 7, 1880, 2023.

33. Morris, M. M., V. Senyurek, A. C. Gurbuz, and M. Kurum, "A deep learning-based soil moisture estimation in conus region using cygnss delay doppler maps," IGARSS 2022-2022 IEEE International Geoscience and Remote Sensing Symposium, 6177-6180, Kuala Lumpur, Malaysia, Jul. 2022.

34. Saïd, H., C. Ruf, S. Gleason, and A. Russel, "An improved inland water detector using standard L1 data: Application to CYGNSS," IGARSS 2023 --- 2023 IEEE International Geoscience and Remote Sensing Symposium, 4322-4323, Pasadena, CA, USA, Jul. 2023.

35. Clarizia, M. P. and C. S. Ruf, "Statistical derivation of wind speeds from CYGNSS data," IEEE Transactions on Geoscience and Remote Sensing, Vol. 58, No. 6, 3955-3964, 2020.

36. Saïd, F., Z. Jelenak, J. Park, and P. S. Chang, "The NOAA track-wise wind retrieval algorithm and product assessment for CyGNSS," IEEE Transactions on Geoscience and Remote Sensing, Vol. 60, 1-24, 2021.

37. Li, Chen and Weimin Huang, "Simulating GNSS-R delay-doppler map of oil slicked sea surfaces under general scenarios," Progress In Electromagnetics Research B, Vol. 48, 61-76, 2013.

38. Gu, Weihui, Haokui Xu, and Leung Tsang, "A numerical Kirchhoff simulator for GNSS-R land applications," Progress In Electromagnetics Research, Vol. 164, 119-133, 2019.

39. Zavorotny, Valery U. and Alexander G. Voronovich, "Scattering of GPS signals from the ocean with wind remote sensing application," IEEE Transactions on Geoscience and Remote Sensing, Vol. 38, No. 2, 951-964, 2000.