星载合成孔径雷达并行二维成像处理的实现
THE PARALLEL IMAGE PROCESSING OF THE SPACE-BORNE SAR DATA
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摘要: 星载合成孔径雷达是一个二维成像雷达系统,其记录的雷达原始数据是二维不可分离的。所以,把雷达原始数据处理成聚焦的雷达图像是一个二维的成像处理过程。二维数字信号处理对计算系统的性能要求较高,需要很大的内存空间和很高的计算速度,传统的计算机难以胜任。本文基于大规模并行计算机平台,分析了星载合成孔径雷达的二维成像算法,设计了二维快速傅里叶变换的并行新算法,有效地实现了星载合成孔径雷达原始数据的并行成像处理。Abstract: Principally the raw data of the space-borne synthetic aperture radar is two-dimensional Two-dimensional filters must be used to fulfill the transformation from the raw radar data to the focused image.A large memory space will be needed in the two-dimensional processing,and much computing time will be consumed.As a result,its implementation is very tedious in traditional computers.In this paper,the two-dimensional imaging processing is analyzed in detail based on parallel processing systems and the result shows that the processing time is short.
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Curlander J C,McDough R N.Synthetic Aperture Radar.Systems and Signal Processing,New York:Wiley,1991,Chapter,3-4.[2]Fitch J P.Systhetic Aperture Radar.New York:Springer-Verlag,Chapter 1,1988.[3]Cenzo A D.A new look at nonseparable synthetic aperture radar processing.IEEE Trans.on AES,1988,24(3):218-223.[4]Franceschetti G,Schirinzi G.A SAR processor based on two-dimensional FFT codes.IEEE Trans.on AES,1990,26(2):356-365.[5]Franceschetti G,Lanari R.Efficient and high precision space-variant processing of SAR data.IEEE Trans.on AES,1995,31(1):227-237.[6]孙凝辉,等.曙光1000大规模并行计算机系统软件的设计.计算机学报,1997,20(3):259-268.吴礼发,等.NOW环境下并行计算中的通信时延问题.计算机科学,1997,20(3):259-268.[7]Bergland,G D.Fast Fourier transform hardware implementationsAn overview.IEEE Trans.on Audio Electroacoust,1969,17:(6) 104-108.[8]Corinthios M J.The design of a class of fast Fourier transform computers[J].IEEE Trans.on Comput.1971,20(6):617-623[9]Gottlieb,P,et al.Parallel data streams and serial arithmetic for fast Fourier transform processors.IEEE Trans.on Acoust.Speech Signal Process.,1974,ASSP-22(4):111-117.[10]Bergland G D.A parallel implementation of the fast Fourier transform algorithm[J].IEEE Trans.Comput.1972,21(4):366-370[11]Jamieson L H,Mueller P T,et al.FFT Algorithms for SIMD parallel processing system[J].J.Parallel and Distributed Computer.1986,3(1):48-71[12]蒋增荣,曾永泓,余品能.快速算法.长沙:国防科技大学出版社,1993 年.[13]Oppenheim A V.Digital Signal Processing.Englewood Cliffs,N.J.:Prentice-Hall,1975,Chapter6. 期刊类型引用(6)
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