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Download PDFOpen PDF in browserMultilevel Fast Multipole Acceleration for Fast ISAR Imaging based on Compressive SensingEasyChair Preprint 3635 pages•Date: July 20, 2018AbstractIn this paper, compressive sensing (CS) is introduced into an efficient numerical method multilevel fast multipole acceleration (MLFMA) for the electromagnetic scattering problem over a wide incident angle. The resulted data from CS based MLFMA are processed to inverse synthetic aperture radar (ISAR) imaging. Simulation results in maritime surveillance for the classification of ships and aircrafts show the received data for ISAR imaging from MLFMA with CS can reach the outperforms of MLFMA and achieves a quality similar to that of classical ISAR imaging. Furthermore, the computational complexity is improved by CS obviously through the reduced matrix computation for the fewer incident waves. An illustration with Aircraft Model Imaging confirms the usefulness of CSMLFMA. Keyphrases: Compressive Sensing (CS), Electromagnetic (EM), Fast Fourier Transform (FFT), inversed synthetic aperture radar (ISAR), multilevel fast multipole acceleration (MLFMA) Download PDFOpen PDF in browser |
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