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| Citation: | ZHANG Lingzhi, LIU Feifeng, and HU Cheng. Optimization method and analysis of data acquisition strategy based on interference SAR with GNSS transmitters[J]. Journal of Radars, 2019, 8(5): 624–630. doi: 10.12000/JR19065
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Optimization Method and Analysis of Data Acquisition Strategy Based on Interference SAR with GNSS Transmitters
doi: 10.12000/JR19065
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Abstract
Interference Synthetic Aperture Radar based on the Global Navigation Satellite System (GNSS-InSAR) uses in-orbit navigation satellites as transmitters of opportunity and receivers are deployed near the ground. Continuous regional observation can be achieved by the constellation and repeat-pass characteristics of the navigation satellites. Continuous-time data collection is required for 1D/3D deformation retrieval of the scene, just like city, bridge, and slope. Since the navigation satellites are not strictly repeat pass and time of repeat pass is uncertain, the original data redundancy is high and interception amount is large when data are aligned, reducing the effect of data. This study focuses on the time accuracy of data acquisition in deformation retrieval of GNSS-InSAR and proposes a repeat-pass data acquisition optimization model, which combines the actual trajectory with the STK, two-line element set prediction trajectory, and sliding window trajectory of the spatial coherence coefficient. Data are aligned to determine the time interval of the adjacent navigation satellites, enabling accurate GNSS-InSAR data acquisition and ensuring effective data accumulation time under reduced original data redundancy. The measured data show the effectiveness of the proposed method. -
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References
[1] CHERNIAKOV M. Space-surface bistatic synthetic aperture radar—prospective and problems[C]. Proceedings of RADAR 2002, Edinburgh, UK, 2002.[2] ANTONIOU M and CHERNIAKOV M. Experimental demonstration of passive GNSS-based SAR imaging modes[C]. Proceedings of IET International Radar Conference 2013, Xi’an, China, 2013.[3] ZENG Tao, ZHANG Tian, TIAN Weiming, et al. A novel subsidence monitoring technique based on space-surface bistatic differential interferometry using GNSS as transmitters[J]. Science China Information Sciences, 2015, 58(6): 1–16.[4] ZENG Tao, ZHANG Tian, TIAN Weiming, et al. Bistatic SAR imaging processing and experiment results using BeiDou-2/Compass-2 as illuminator of opportunity and a fixed receiver[C]. Proceedings of the 2015 IEEE 5th Asia-Pacific Conference on Synthetic Aperture Radar, Singapore, Singapore, 2015.[5] FAN Xuezhen, LIU Feifeng, ZHANG Tian, et al. Passive SAR with GNSS transmitters: Latest results and research progress[C]. Proceedings of 2017 IEEE International Geoscience and Remote Sensing Symposium, Fort Worth, USA, 2017.[6] ANTONIOU M, CHERNIAKOV M, and MA Hui. Space-surface bistatic synthetic aperture radar with navigation satellite transmissions: A review[J]. Science China Information Sciences, 2015, 58(6): 1–20.[7] LIU Feifeng, ANTONIOU M, ZENG Zhangfan, et al. Point spread function analysis for BSAR with GNSS transmitters and long dwell times: Theory and experimental confirmation[J]. IEEE Geoscience and Remote Sensing Letters, 2013, 10(4): 781–785. doi: 10.1109/LGRS.2012.2223655[8] MA Hui, ANTONIOU M, and CHERNIAKOV M. Passive GNSS-based SAR resolution improvement using joint Galileo E5 signals[J]. IEEE Geoscience and Remote Sensing Letters, 2015, 12(8): 1640–1644. doi: 10.1109/LGRS.2015.2417594[9] ZENG Tao, ZHANG Tian, TIAN Weiming, et al. Space-surface bistatic SAR image enhancement based on repeat-pass coherent fusion with Beidou-2/Compass-2 as illuminators[J]. IEEE Geoscience and Remote Sensing Letters, 2016, 13(12): 1832–1836. doi: 10.1109/LGRS.2016.2614337[10] ANTONIOU M, LIU F, ZENG Z, et al. Coherent change detection using GNSS-based passive SAR: First experimental results[C]. Proceedings of 2012 IET International Conference on Radar Systems, Glasgow, UK, 2012.[11] TZAGKAS D, ANTONIOU M, and CHERNIAKOV M. Coherent change detection experiments with GNSS-based passive SAR[C]. Proceedings of 2016 European Radar Conference, London, UK, 2016.[12] LIU Feifeng, FAN Xuezhen, ZHANG Tian, et al. GNSS-based SAR interferometry for 3-D deformation retrieval: Algorithms and feasibility study[J]. IEEE Transactions on Geoscience and Remote Sensing, 2018, 56(10): 5736–5748.[13] DONG Xichao, HU Cheng, TIAN Weiming, et al. Feasibility study of inclined geosynchronous SAR focusing using Beidou IGSO signals[J]. Science China Information Sciences, 2016, 59(12): 129302. doi: 10.1007/s11432-016-5524-x[14] LIU Feifeng, FAN Xuezhen, ZHANG Lingzhi, et al. GNSS-based SAR for urban area imaging: Topology optimization and experimental confirmation[J]. International Journal of Remote Sensing, 2019, 40(12): 4668–4682. doi: 10.1080/01431161.2019.1569790[15] ZHANG Qilei, ANTONIOU M, CHANG Wenge, et al. Spatial decorrelation in GNSS-based SAR coherent change detection[J]. IEEE Transactions on Geoscience and Remote Sensing, 2015, 53(1): 219–228. doi: 10.1109/TGRS.2014.2321145[16] ZEBKER H A and VILLASENOR J. Decorrelation in interferometric radar echoes[J]. IEEE Transactions on Geoscience and Remote Sensing, 1992, 30(5): 950–959. doi: 10.1109/36.175330[17] FERRETTI A, PRATI C, and ROCCA F. Permanent scatterers in SAR interferometry[J]. IEEE Transactions on Geoscience and Remote Sensing, 2001, 39(1): 8–20. doi: 10.1109/36.898661[18] ZENG Tao, CHERNIAKOV M, and LONG Teng. Generalized approach to resolution analysis in BSAR[J]. IEEE Transactions on Aerospace and Electronic Systems, 2005, 41(2): 461–474. doi: 10.1109/TAES.2005.1468741 -
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- Figure 1. Effective data interception diagram
- Figure 2. Time optimization process of GNSS-InSAR data acquisition
- Figure 3. Scene resolution unit area in full time
- Figure 4. Design results of first data acquisition time
- Figure 5. GNSS-InSAR topological configuration design results of 3D deformation retrieval experiment
- Figure 6. Aligned TLE satellite trajectory and measured data satellite trajectory
- Figure 7. Theoretical PSF in scene at position of [–147, 20, 0]
- Figure 8. Simulation results of data acquisition optimization model
- Figure 9. The spatial coherence coefficient of measured data
- Figure 10. Imaging results of scene
- Figure 11. Coherence coefficient result