Computer Science ›› 2019, Vol. 46 ›› Issue (6A): 287-290.

• Network & Communication • Previous Articles     Next Articles

Validation of Synthetic Aperture Radar(SAR) Imaging Algorithm Based on Simulation

ZENG Le-tian1,2, YANG Chun-hui1, LI Qiang1, CHEN Ping1   

  1. The Fifth Electronic Research Institute of MIIT,Software Quality Engineering Research Center,Guangzhou 510610,China1;
    School of Computer Science and Engineering,South China University of Technology,Guangzhou 510640,China2
  • Online:2019-06-14 Published:2019-07-02

Abstract: Imaging algorithm is crucial to the performance of the synthetic aperture radar (SAR).Existing testing methodnot only needs to use real equipment,radar data and testing environment,but also lacks a reasonable evaluation for the imaging result,which greatly affect the efficiency and effectiveness of the software testing.To solve these problems,this paper presented a novel testing method based on simulation for the validation of SAR imaging algorithms.Firstly,the echo data are generated independently via improved concentric circle method,eliminating the real echo data constraint.Then,the correctness and feasibility of imaging algorithms are evaluated scientifically by quantitative indicators combined with point target imaging as well as distributed scene target imaging.The proposed method greatly improves the effectiveness of the testing work.Finally,the correctness and the effectiveness of the proposed method were verified by simulation experiments.

Key words: Simulation, Synthetic aperture radar(SAR), Validation of imaging algorithm

CLC Number: 

  • TP311
[1]CUMMING I G,WONG F H.Digital Processing of Synthetic Aperture Radar Data:Algorithm and Implementation [M].Boston,MA:Artech House,2005:113-168.
[2]CARRARA W G,GOODMAN R S,MAJEWSKI R M.Spotlight Synthetic Aperture Radar:Signal Processing Algorithm [M].Boston,MA:Artech House,1995:13-80.
[3]曾乐天.机载高分辨聚束SAR成像及运动补偿算法研究[D].西安:西安电子科技大学,2016.
[4]GAROUSI V,FELDERER M,HACALOGLU T.What We Know about Software Test Maturity and Test Process Improvement [J].IEEE Software,2018,35(1):84-92.
[5]PAUL C J.Software Testing:A Craftsman’s Approach(4th Edition)[M].Boca Raton,CRC Press,2013:221-228.
[6]TARLINDER A.Developer Testing:Building Quality into Software [M].Boston,MA:,Addison-Wesley Professional,2016:21-36.
[7]KASSAB M,DEFRANCO J F,LAPLANTE P A.Software Tes-ting:The State of The Practice [J].IEEE Software,2017,34(5):46-52.
[8]JIANG H,TANG K,PETKE J,et al.Search Based Software Engineering [J].IEEE Computational Intelligence Magazine,2017,12(2):23-71.
[9]BIANCHI F,MARGARA A,PEZZE M.A Survey of Recent Trends in Testing Concurrent Software Systems [J].IEEE Transactions on Software Engineeringm,2017,PP(99):1-40.
[10]ITKONEN J,MANTYLA M V,LASSENIUS C.The Role of The Tester’s Knowledge in Exploratory Software Testing [J].IEEE Transactions on Software Engineering,2013,39(5):707-724.
[11]SPINELLIS D.State-of-The-Art Software Testing [J].IEEE Software,2017,34(5):4-6.
[12]景国彬,张云骥,李震宇,等.基于GPU的SAR回波仿真高效实现方法 [J].系统工程与电子技术,2016,38(11):2493-2498.
[13]王伯岭,孙进平,吴双力,等.扩展场景的SAR回波信号快速仿真算法 [J].遥测遥控,2005,26(6):33-38.
[14]RANEY R K,RUNGE H,BAMLER R,et al.Precision SAR Processing Using Chirp Scaling [J].IEEE Geoscience and Remote Sensing Letters,1994,32(4):786-799.
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