Skip to main content

An FPGA-Based Balanced and High-Efficiency Two-Dimensional Data Access Technology for Real-Time Spaceborne SAR

  • Conference paper
  • First Online:
Book cover Communications, Signal Processing, and Systems (CSPS 2018)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 517))

  • 2356 Accesses

Abstract

With the development of satellite load and very large scale integrated (VLSI) circuit technology, spaceborne real-time synthetic aperture radar (SAR) imaging systems have become a solution for rapid response to hazards. Through analyzing the algorithm pipeline flow as well as introducing the storage-computation model, a balanced and high-efficiency 2-D data access technology based on cross-mapping data storage method has been achieved to suit the large point processing for real-time spaceborne SAR system. A prototype based on NetFPGA-SUME board with Xilinx XC7VX690T is given to verify the performance of the proposed design. Taking Stripmap SAR imaging of 16384 * 16384 granularity raw data (5 m resolution, 25 km width) as an example, the imaging based on chirp scaling algorithm takes 6.63 s, which is better than some other real-time processing methods.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 139.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 179.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 249.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Lou, Y., Clark, D., Marks, P., Muellerschoen, R.J., Wang, C.C.: Onboard radar processor development for rapid response to natural hazards. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 9, 2770–2776 (2016)

    Google Scholar 

  2. Langemeyer, S., et al.: A compact and flexible multi-DSP system for real-time SAR applications. In: Proceedings of IEEE International Geoscience and Remote Sensing Symposium. IGARSS, vols. I–VII, pp. 1657–1659. IEEE (2003)

    Google Scholar 

  3. Zhang, F., Li, G., Li, W., et al.: Accelerating spaceborne SAR imaging using multiple CPU/GPU deep collaborative computing. Sens. 16(4), 494 (2016)

    Google Scholar 

  4. Cumming, I.G., Wongm, H.C.: Digital processing of synthetic aperture radar data: algorithms and implementation. International Radar Conference, vol. 1, pp. 168–175

    Google Scholar 

  5. Yang, C., Li, B., et al.: A spaceborne synthetic aperture radar partial fixed-point imaging system using a field-programmable gate array—application-specific integrated circuit hybrid heterogeneous parallel acceleration technique. Sens. 17, June 2017

    Google Scholar 

  6. Zhou, J.: Fine-grained algorithm and architecture for data processing in SAR applications. National University of Defense Technology, Oct 2010

    Google Scholar 

  7. Gu, C., Chang, W., Li, X., et al.: Multi-core DSP based parallel architecture for FMCW SAR real-time imaging. Radio Eng. 2015, 1084–1090 (2015)

    Google Scholar 

  8. Liu, X., Xie, Y., Zhao, B., Chen, H., Yang, C.: A SAR matrix transpose method of efficiency balanced two dimensional access. Acta Electron. Sin. 44(1), 33–38 (2016)

    Google Scholar 

  9. Zhang, Q.: System design and key technologies of the GF-3 satellite. Acta Geod. Cartogr. Sin. (2017)

    Google Scholar 

  10. Li, B., Shi, H., Chen, L., et al.: Real-time spaceborne synthetic aperture radar float-point imaging system using optimized mapping methodology and a multi-node parallel accelerating technique. Sens. 18(3), 725 (2018)

    Google Scholar 

  11. Desai, N.M., Kumar, B.S., Sharma, R.K., Kunal, A., Gameti, R.B., Gujraty, V.R.: Near real time SAR processors for ISRO’s multi-mode RISAT-I and DMSAR. In: Proceedings of 7th European Conference on Synthetic Aperture Radar, pp. 1–4, 2–5 June 2008

    Google Scholar 

Download references

Acknowledgements

This work was supported by the National Natural Science Foundation of China under Grant 31727901, and the Hundred Leading Talent Project of Beijing Science and Technology under Grant Z141101001514005.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Yizhuang Xie .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2020 Springer Nature Singapore Pte Ltd.

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Sun, T., Li, B., Liu, X., Xie, Y. (2020). An FPGA-Based Balanced and High-Efficiency Two-Dimensional Data Access Technology for Real-Time Spaceborne SAR. In: Liang, Q., Liu, X., Na, Z., Wang, W., Mu, J., Zhang, B. (eds) Communications, Signal Processing, and Systems. CSPS 2018. Lecture Notes in Electrical Engineering, vol 517. Springer, Singapore. https://doi.org/10.1007/978-981-13-6508-9_87

Download citation

  • DOI: https://doi.org/10.1007/978-981-13-6508-9_87

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-6507-2

  • Online ISBN: 978-981-13-6508-9

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics