Bistatic ISAR Imaging Algorithm Based on Compressed Sensing

  • Lin Dong
  • Fan Luhong
  • Jin Li
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 246)


Compressed sensing (CS) theory can be used to extract target scattering characteristics and frequency characteristics from the partially missed bistatic ISAR(Bi-ISAR) echo directly to achieve high-resolution imaging. In this paper, based on the analysis of sparse property of BI-ISAR signal, sparse basis matrix and the observation matrix which is irrelevant to the sparse base matrix are constructed to get the observed signal. Provided that l 1 norm of original signal coefficients based on sparse base is minimum, gradient projection method is used to reconstruct the target signal with high precision, and then bistatic ISAR imaging algorithm based on CS is given. Computer simulations using frequency stepped signal are given to verify the effectiveness of the proposed method.


Bistatic inverse synthetic aperture radar Compressed sensing Stepped-frequency signal High-resolution imaging 


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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  1. 1.School of Electronic EngineeringUniversity of Electronic Science and Technology of ChinaChengduChina

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