GF-3 data real-time processing method based on multi-satellite distributed data processing system

Abstract

Due to the limited scenes that synthetic aperture radar (SAR) satellites can detect, the full-track utilization rate is not high. Because of the computing and storage limitation of one satellite, it is difficult to process large amounts of data of spacebome synthetic aperture radars. It is proposed to use a new method of networked satellite data processing for improving the efficiency of data processing. A multi-satellite distributed SAR real-time processing method based on Chirp Scaling (CS) imaging algorithm is studied in this paper, and a distributed data processing system is built with field programmable gate array (FPGA) chips as the kernel. Different from the traditional CS algorithm processing, the system divides data processing into three stages. The computing tasks are reasonably allocated to different data processing units (i.e., satellites) in each stage. The method effectively saves computing and storage resources of satellites, improves the utilization rate of a single satellite, and shortens the data processing time. Gaofen-3 (GF-3) satellite SAR raw data is processed by the system, with the performance of the method verified.

References

[1] LiuL, JiangL-m, LiH-zhong. Improved SMB speckle filtering of polarimetric SAR data with synergistic use of orientation angle compensation and spatial majority rule [J]. Journal of Central South University, 2016, 23(6): 1508-1514

[2] SunG-c, XingM-d, XiaX-g, WuY-r, BaoZheng. Robust ground moving-target imaging using deramp-Keystone processing [J]. IEEE Transactions on Geoscience and Remote Sensing, 2013, 51(2): 966-982

[3] RothA. TerraSAR-X: A new perspective for scientific use of high resolution spaceborne SAR data [C]// Workshop on Remote Sensing & Data Fusion Over Urban Areas. IEEE, 2003

[4] SunG-c, XingM-d, XiaX-g, WuY-f, BaoZheng. Multichannel full-aperture azimuth processing for beam steering SAR [J]. IEEE Transactions on Geoscience and Remote Sensing, 2013, 51(9): 4761-4778

[5] ZuoS-s, XingM-d, XiaX-g, SunG-cai. Improved signal reconstruction algorithm for multichannel SAR Based on the Doppler Spectrum Estimation [J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2017, 10(4): 1425-1442

[6] Sensors, 2018, 18(8

[7] Sensors, 2017, 179

[8] SunG-c, XingM-d, XiaX-g, YangJ, WuY-r, BaoZheng. A unified focusing algorithm for several modes of SAR based on FrFT [J]. IEEE Transactions on Geoscience and Remote Sensing, 2013, 515): 3139-3155

[9] SunG-c, XingM-d, WangY, WuY-f, WuY-r, BaoZheng. Sliding spotlight and TOPS SAR data processing without subaperture [J]. IEEE Geoscience and Remote Sensing Letters, 2011, 8(6): 1036-1040

[10] LiuJ, ChenL, LiuY, XieY-zhuang. Design of spacebome SAR imaging processing and fast verification based on FPGA [C]. International Radar Conference. IET, 201315

[11] GaoL-n, LongTeng. Spaceborne digital signal processing system design based on FPGA [C]. Image and Signal Processing 2008, Congress on IEEE, 2008577581

[12] GuoM, JianF-j, ZhangQ, XuB, WangZ-s, HanC-de. FPGA-based real-time imaging system for spaceborne SAR [J]. Journal of Computer Research and Development, 2007, 44(3): 497-502 in Chinese)

[13] FanY-j, ChenX-l, WeiY-k, DingZ-g, WangY, WenY-h, TianW-ming. The distributed SAR imaging method for cylinder target [C]. IGARSS 2019-2019 IEEE International Geoscience and Remote Sensing Symposium. Yokohama, Japan, 201929212924

[14] YangZ-l, YangZ, DongS, ChenLiang. Implementation of memory architecture for real-time spaceborne SAR imaging system [C]. IET International Radar Conference 2015. Hangzhou, 201515

[15] ZhanX-l, WangY-f, LiuB-d, WangChao. Research on overlapped subaperture real-time imaing algorithm for pulse compression airborne strip SAR system [J]. Journal of Radars, 2015, 4(2): 199-208(in Chinese)

[16] QiS-x, RenJ, GuL-hua. The application research of microwave nondestructive testing and imaging based on co-k algorithm [C]. International Conference on Digital Image Processing, 2017

[17] HuangY, LiC-s, ChenJ, ZhouY-qing. Refined chirp scaling algorithm for high resolution spaceborne SAR imaging [J]. Acta Electronica Sinica, 20003538(in Chinese)

[18] RaneyR K, RungeH, BamlerR, CummingI G, WongF H. Precision SAR processing using chirp scaling [J]. IEEE Transactions on Geoscience & Remote Sensing, 1994, 32(4): 786-799

[19] LiB, LiC, XieY, ChenL, ShiH, DengY A. SoPC based fixed point system for spaceborne SAR real-time imaging processing [C]. 2018 IEEE High Performance Extreme Computing Conference (HPEC), 201816

[20] MalanowskiM, KrawczykG, SamczynskiP. Real-time high-resolution SAR processor using CUDA technology [C]. Radar Symposium. IEEE, 2013673678

[21] PfitznerM, CholewaF, PirschP. FPGA based Architecture for real-time SAR processing with integrated motion compensation [C]. 2013 Asia-Pacific Conference on Synthetic Aperture Radar (APSAR). Tsukuba, 2013521524

[22] ZhangN-y, YaoD, LiC-x, JingKai. A real-time processing system for airborne forward-squint SAR based on DSP [C]. IET International Radar Conference 2015. Hangzhou, 201515

[23] YanL, BoyaZ, LiangC, HeC, TaoW. The implement of spaceborne SAR imaging system [C]. IET International Radar Conference 2015. Hangzhou, 201514

[24] LiC, JieL, CuiL, YaoD. The squinted-looking SAR real-time imaging based on multi-core DSP [C]. IET International Radar Conference 2015. Hangzhou, 201514

[25] SunY-q, LiuW, YaoD, ZhangW-tao. A design method for SAR real-time processing system based on Super-step [C]. IET International Radar Conference 2013. Xi’an, 201315

[26] JinT, WangH-x, LiuH-wei. Design of A flexible high- performance real-time SAR signal processing system [C]. 2016 IEEE 13th International Conference on Signal Processing (ICSP). Chengdu, 2016513517

[27] SunY-q, YangJ, YaoDi. An evaluation system for SAR real-time processing system [C]. IET International Radar Conference 2013. Xi’an, 201314

[28] WeiL, LiG-y, ZhangH-xiang. A real-time SAR extended object simulator based on FPGA [C]. IEEE International Conference on Signal Processing. IEEE, 201714981503

[29] CaoH-y, ZhuD-y, ZhangJ-dong. FPGA implementation of two SAR autofocus algorithms [C]. IEEE International Conference on Dependable. IEEE, 2014148152

[30] NiC, HuX, ZhangZ-m, ZhaoF-jun. Spaceborne SAR real-time echo simulation platform based on VPX [J]. Journal of Electronics (China), 2014, 31(3): 193-199

[31] LiB-y, XieY-z, LiuX-n, DengYi. A new reconfigurable methodology to implement the shift-and-correlate (SAC) algorithm for real-time SAR autofocusing [C]. IET International Radar Conference 2015, Hangzhou, China, 201516

[32] ChenY, HeChen. A efficient design of A real-time FFT architecture based on FPGA [C]. IET International Radar Conference 2013. Xi’an, 201315

[33] GuC-f, LiX-y, ChangW-g, JiaG-w, TianH-shan. Matrix transposition based on TMS320C6678 [C]. Millimeter Waves. IEEE, 2012

[34] LiW, XuZ, ZhuD. The FPGA Implementation of real-time spotlight SAR imaging [C]. IGARSS 2018-2018 IEEE International Geoscience and Remote Sensing Symposium. Valencia, 201867036706