Abstract
Costas signal, which is able to provide good time and frequency resolution simultaneously, is widely adopted in modern radar systems, especially for the radar with low interception performance. However, because of the widely acknowledged superb ambiguity properties, the pulse compression for Costas signal requires multi-velocity-channel processing, and hence, the computational load is increased accordingly. In this paper, based on the characteristics of “General Purpose Graphics Processing Unit (GPGPU)”, a new pulse compression scheme for Costas signal is proposed and validated. According to the experiment, this processing scheme will provide a good reference for the design of radar signal processors with high computing performance.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Blom, M., Follo, P., 2005, VHF SAR image formation implemented on a GPU. Geoscience and Remote Sensing Symposium. IGARSS ’05. Proceedings. 2005 IEEE International, pp: 3352 – 3356.
David L, Mark H, Naga G, et al., 2006, GPGPU: general-purpose computation on graphics hardware. Proceedings of the 2006 ACM/IEEE conference on Supercomputing, 208.
Derham, T., Woodbridge, K., Griffiths, H., et al., 2003, The design and development of an experimental netted radar system. Proceedings of the International Radar Conference, 293–298.
Hongxun, H., Xiuchun, W., 2004, Application of Parallel Computer to Modern Radar Signal Processing. Morden Radar, 26(3):25–32.
Jiang Jinghong, J., Li, Y., Huizhi, C., Weiming, H., 2009, Feasibility research of real-time signal processing system using GPU. Technical Acoustics, 28(2):129–131.
Karasev P.A., Campbell D.P., Richards M.A., 2007, Obtaining a 35x Speedup in 2D Phase Unwrapping Using Commodity Graphics Processors. IEEE Radar Conference, Boston, MA, 574–578.
Mccool, M.D., 2007, Signal Processing and General-Purpose Computing and GPUs [Exploratory DSP]. IEEE Signal Processing Magazine, 24(3):109–114.
NVIDIA Tesla C2050 Specification, 2010, http://www.nvidia.com/object/product_tesla_C2050_C2070_us.html
Victor W.L., Changkyu, Chhugani, J., et al., 2010, Debunking the 100X GPU vs. CPU myth: an evaluation of throughput computing on CPU and GPU. ISCA ’10 Proceedings of the 37th annual international symposium on Computer architecture, 38(3):451–460.
Qiang, W., Qing, G., Xuwen, L., 2009, Hardware design of image information processor based on ADSP-TS201 DSPs. 2009 IEEE International Workshop on Imaging Systems and Techniques, 155–158.
Wenhua, M., Yixian, Y., 1996, Frequency hopping encoding technique in morden radar. Morden Radar, 18(5):82–88.
Zhiguang, X., Yingmin, W., Zhiqiang, L., 2010, Analysis of detective performance of sonar target based on Gostas signal. Audio Engineering, 34(3):49–53.
Acknowledgements
Dr. Bin ZHOU works as the chief scientist of marine remote sensing lab at Institute of Oceanographic Instrumentation, Shandong Academy of Sciences. This work is supported by the institute funding.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2013 Springer Science+Business Media New York
About this chapter
Cite this chapter
Zhou, B., Yeh, Cm., Li, Ww., Zhang, Wj. (2013). Large-Scale Pulse Compression for Costas Signal with GPGPU. In: Shi, X., Kindratenko, V., Yang, C. (eds) Modern Accelerator Technologies for Geographic Information Science. Springer, Boston, MA. https://doi.org/10.1007/978-1-4614-8745-6_10
Download citation
DOI: https://doi.org/10.1007/978-1-4614-8745-6_10
Published:
Publisher Name: Springer, Boston, MA
Print ISBN: 978-1-4614-8744-9
Online ISBN: 978-1-4614-8745-6
eBook Packages: Computer ScienceComputer Science (R0)