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Object detectability enhancement under weak signals for passive GNSS-based SAR

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Abstract

Passive Global Navigation Satellite System (GNSS)-based Synthetic Aperture Radar (SAR), known as GNSS-SAR, is a recently developing SAR imaging system. Due to the restrictions of transmission power and long distance transmission between GNSS satellites and earth surface, the received signals can be very weak after reflections, in which a noisy GNSS-SAR image can be resulted in. In this study, a new imaging algorithm for GNSS-SAR objects signal detectability enhancement is proposed. The main idea of the proposed algorithm is to apply joint coherent and non-coherent integrations for azimuth compression processing for each scattering point. In the proposed algorithm, at first, each azimuth resolution cell is partitioned into multiple non-overlapped consecutive mini-slots. To both effectively average out the remaining noise from range compression and reduce azimuth samples for correlation operation, the azimuthally distributed range-compressed signals with migration corrected in each partitioned mini-slot are added together. Then azimuth correlation for the compression per azimuth cell is carried out based on the result obtained from performing the addition scheme. Both theoretical analysis and experimental study show that the proposed algorithm can result in obviously enhanced imaging signal detectability for object identification. Meanwhile, computation with the proposed imaging algorithm is significantly more efficient than with the conventional GNSS-SAR imaging algorithm.

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References

  1. Attalah, M.A., Laroussi, T., Gini, F., Greco, M.S.: Range-Doppler fast block LMS algorithm for a DVB-T-based passive bistatic radar. Signal Image Video Process. 13(1), 27–34 (2019)

    Article  Google Scholar 

  2. Hadi, M.A., Tabassum, M.N., Alshebeili, S.: Compressive sensing based high-resolution passive bistatic radar. Signal Image Video Process. 11(4), 635–642 (2017)

    Article  Google Scholar 

  3. Zuo, R.: Bistatic synthetic aperture radar using GNSS as transmitters of opportunity. Ph.D. thesis, University of Birmingham (2012)

  4. Zeng, Z.: Passive bistatic SAR with GNSS transmitter and a stationary receiver. Ph.D. thesis, University of Birmingham (2013)

  5. Antoniou, M., Zeng, Z., Feifeng, L., Cherniakov, M.: Experimental demonstration of passive BSAR imaging using navigation satellites and a fixed receiver. IEEE Geosci. Remote Sens. Lett. 9(3), 477–481 (2012)

    Article  Google Scholar 

  6. Antoniou, M., Hong, Z., Zhangfan, Z., Zuo, R., Zhang, Q., Cherniakov, M.: Passive bistatic synthetic aperture radar imaging with Galileo transmitters and a moving receiver: experimental demonstration. IET Radar Sonar Navig. 7(9), 985–993 (2013)

    Article  Google Scholar 

  7. Ma, H., Antoniou, M., Cherniakov, M.: Passive GNSS-based SAR resolution improvement using joint Galileo E5 signals. IEEE Geosci. Remote Sens. Lett. 12(8), 1640–1644 (2015)

    Article  Google Scholar 

  8. Zeng, T., Ao, D., Hu, C., Zhang, T., Liu, F., Tian, W., Lin, K.: Multiangle BSAR imaging based on BeiDou-2 navigation satellite system: experiments and preliminary results. IEEE Trans. Geosci. Remote Sens. 53(10), 5760–5773 (2015)

    Article  Google Scholar 

  9. Shi, S., Liu, J., Li, T., Tian, W.: Basic performance of space-surface bistatic SAR using BeiDou satellites as transmitters of opportunity. GPS Solut. 21(2), 727–737 (2016)

    Article  Google Scholar 

  10. Antoniou, M., Cherniakov, M.: GNSS-based bistatic SAR: a signal processing view. EURASIP J. Adv. Signal Process. 1, 1–16 (2013)

    Google Scholar 

  11. Zheng, Y., Yang, Y., Chen, W.: Enhanced GNSS-SAR range-doppler algorithm for the target detection of weak reflected signals: an experimental study. J. Aeronaut. Astronaut. Aviat. 49(2), 83–92 (2017)

    Google Scholar 

  12. Santi, F., Pastina, D., Bucciarelli, M., Antoniou, M., Tzagkas, D., Cherniakov, M.: Passive multistatic SAR with GNSS transmitters: preliminary experimental study. In: IEEE 11th in European Radar Conference (EuRAD), pp. 129–132 (2014)

  13. Santi, F., Bucciarelli, M., Pastina, D., Antoniou, M., Cherniakov, M.: Spatial resolution improvement in GNSS-based SAR using multistatic acquisitions and feature extraction. IEEE Trans. Geo-sci. Remote Sens. 54(10), 6217–6231 (2016)

    Article  Google Scholar 

  14. Zheng, Y., Yang, Y., Chen, W.: A novel range compression algorithm for resolution enhancement in GNSS-SARs. Sensors 17(7), 1496 (2017)

    Article  Google Scholar 

  15. Liu, F., Antoniou, M., Zeng, Z., Cherniakov, M.: Coherent change detection using passive GNSS-based BSAR: experimental proof of concept. IEEE Trans. Geo-sci. Remote Sens. 51(8), 4544–4555 (2013)

    Article  Google Scholar 

  16. Zhang, Q., Antoniou, M., Chang, W., Cherniakov, M.: Spatial decorrelation in GNSS-based SAR coherent change detection. IEEE Trans. Geo-sci. Remote Sens. 53(1), 219–228 (2015)

    Article  Google Scholar 

  17. Santi, F., Pastina, D., Bucciarelli, M.: Maritime moving target detection technique for passive bistatic radar with GNSS transmitters. In: 2017 18th IEEE International in Radar Symposium (IRS), pp. 1–10 (2017)

  18. Ma, H., Antoniou, M., Pastina, D., Santi, F., Pieralice, F., Bucciarelli, M., Cherniakov, M.: Maritime moving target indication using passive GNSS-based bistatic radar. IEEE Trans. Aerosp. Electron. Syst. 54(1), 115–130 (2018)

    Article  Google Scholar 

  19. Clarizia, M.P., Chotiros, N.P., Vaccaro, M.G.: A GPS-reflectometry simulator for target detection over oceans. In: IGARSS 2018–2018 IEEE International Geoscience and Remote Sensing Symposium. Valencia, pp. 450–451 (2018). https://doi.org/10.1109/IGARSS.2018.8519302

  20. Ullo, S.L., Giangregorio, G., di Bisceglie, M., Galdi, C., Clarizia, M.P., Addabbo P.: Analysis of GPS signals backscattered from a target on the sea surface. In: IEEE International Geoscience and Remote Sensing Symposium (IGARSS). Fort Worth, pp. 2062–2065. (2017) https://doi.org/10.1109/IGARSS.2017.8127387

  21. Zeng, T., Zhang, T., Tian, W., Hu, C.: Recent progress in Bistatic SAR with illuminators of opportunity. Sci. China Technol. Sci. 59(12), 1965–1967 (2016)

    Article  Google Scholar 

  22. Rao, X., Tao, H., Xie, J., Su, J., Li, W.: Long-time coherent integration detection of weak manoeuvring target via integration algorithm, improved axis rotation discrete chirp-Fourier transform. IET Radar Sonar Navig. 9(7), 917–926 (2015)

    Article  Google Scholar 

  23. Chen, X., Guan, J., Liu, N., He, Y.: Maneuvering target detection via Radon-fractional Fourier transform-based long-time coherent integration. IEEE Trans. Signal Process. 62(4), 939–953 (2014)

    Article  MathSciNet  Google Scholar 

  24. Zeng, T., Zhang, T., Tian, W., Hu, C.: Space-surface bistatic SAR image enhancement based on repeat-pass coherent fusion with beidou-2/compass-2 as illuminators. IEEE Geosci. Remote Sens. Lett. 13(12), 1832–1836 (2016)

    Article  Google Scholar 

  25. Santi, F., Antoniou, M., Pastina, D., Tzagkas, D., Bucciarelli, M., Cherniakov, M.: Passive multi-static SAR with GNSS transmitters: first theoretical and experimental results with point targets. In: 10th European Conference on Synthetic Aperture Radar, pp. 1–4 (2014)

  26. Ziedan, N.I.: GNSS Receivers for Weak Signals. Energy, vol. 1992 (2006)

  27. Zheng, Y., Yang, Y., Chen, W.: Analysis of radar sensing coverage of a passive GNSS-based SAR system. In: 2017 IEEE International Conference on Localization and GNSS (ICL-GNSS 2017). Nottingham (2017)

  28. Levy, B.C.: Principles of Signal Detection and Parameter Estimation. Springer, Berlin (2008)

    Book  Google Scholar 

  29. Kobayashi, H., Mark, B.L., Turin, W.: Probability, Random Processes, and Statistical Analysis. United Kingdom at the University Press, Cambridge (2012)

    MATH  Google Scholar 

  30. Rosenbaum, G.V.: Determination of GPS RF signal strengths. In: 2008 IEEE/ION Position, Location and Navigation Symposium, pp. 449–458 (2008)

  31. Jol, H.M. (ed.): Ground Penetrating Radar Theory and Applications. Elsevier, London (2008)

    Google Scholar 

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Acknowledgements

The research was funded by Hong Kong Research Grants Council (RGC) Competitive Earmarked Research Grant (Project No: PolyU 152151/17E), the research fund from the Research Institute of Sustainable Urban Development, Hong Kong Polytechnic University, the research grant from Education Department of Hunan Province, China (Project No: 18C0758) and Hunan Natural Science Foundation under Grant (Project No: 2017JJ2291). We are very thankful to the ip-solution company for providing us a GPS receiver RF front end and corresponding open-source MATLAB code for the experiment in this research.

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  1. College of Electronic Communication and Electrical Engineering, Changsha University, Hongshan Road # 98, Changsha, China

    Yu Zheng

  2. Department of Land Surveying and Geo-informatics, The Hong Kong Polytechnic University, Hung Hom, Hong Kong, China

    Yu Zheng, Yang Yang & Wu Chen

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  1. Yu Zheng
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  2. Yang Yang
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  3. Wu Chen
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Correspondence to Yu Zheng.

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Zheng, Y., Yang, Y. & Chen, W. Object detectability enhancement under weak signals for passive GNSS-based SAR. SIViP 13, 1549–1557 (2019). https://doi.org/10.1007/s11760-019-01493-6

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