Multilevel Fast Multipole Acceleration for Fast ISAR Imaging based on Compressive Sensing

EasyChair Preprint 363

Abstract

In 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)

@booklet{EasyChair:363,
  author    = {Assia El Mahdaoui and Abdeldjalil Ouahabi and Mohamed Said Moulay},
  title     = {Multilevel Fast Multipole Acceleration for Fast ISAR Imaging based on Compressive Sensing},
  howpublished = {EasyChair Preprint 363},
  year      = {EasyChair, 2018}}