Sonar imaging of structured sparse scene using template compressed sensing

نویسندگان

  • Huichen Yan
  • Xudong Zhang
  • Shibao Peng
  • Jia Xu
چکیده

To solve the low efficiency of traditional synthetic aperture sonar (SAS) imaging problem, a sonar imaging system combining compressed sensing (CS) and template compressed sensing (TCS) was proposed. The system used sonar network to image scenes. With 10% amount of traditional SAS data, CS and TCS algorithms could recover the image exploiting the structured sparsity of the interested scene with the same resolution. TCS method even recovered the image perfectly. Simulations shows the good performance. Keywords-sonar imaging; compressed sensing; template compressed sensing

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تاریخ انتشار 2013