Subinteger range-bin alignment method for ISAR imaging of noncooperative targets

  • Authors:

  • J. M. Muñoz-Ferreras;F. Pérez-Martínez

  • Affiliations:

  • Department of Signal Theory and Communications, Polytechnic School, University of Alcalá, Madrid, Spain;Department of Signals, Systems and Radiocommunications, Technical University of Madrid, E.T.S.I. Telecomunicación, Madrid, Spain

  • Venue:
  • EURASIP Journal on Advances in Signal Processing - Special issue on advanced image processing for defense and security applications
  • Year:
  • 2010

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Abstract

Inverse Synthetic Aperture Radar (ISAR) is a coherent radar technique capable of generating images of noncooperative targets. ISAR may have better performance in adverse meteorological conditions than traditional imaging sensors. Unfortunately, ISAR images are usually blurred because of the relative motion between radar and target. To improve the quality of ISAR products, motion compensation is necessary. In this context, range-bin alignment is the first step for translational motion compensation. In this paper, we propose a subinteger range-bin alignment method based on envelope correlation and reference profiles. The technique, which makes use of a carefully designed optimization stage, is robust against noise, clutter, target scintillation, and error accumulation. It provides us with very fine translational motion compensation. Comparisons with state-of-the-art rangebin alignment methods are included and advantages of the proposal are highlighted. Simulated and live data froma high-resolution linear-frequency-modulated continuous-wave radar are included to perform the pertinent comparisons.