An Efficient Polyphase Filter-Based Resampling Method for Unifying the PRFs in SAR Data

Yoangel Torres, Kamal Premaratne, Falk C Amelung, Shimon Wdowinski

Research output: Contribution to journalArticle

2 Scopus citations

Abstract

Variable higher pulse repetition frequencies (PRFs) are increasingly being used to meet the stricter requirements and complexities of current airborne and spaceborne synthetic aperture radar (SAR) systems associated with higher resolution and wider area products. POLYPHASE, the proposed resampling scheme, downsamples and unifies variable PRFs within a single look complex SAR acquisition and across a repeat pass sequence of acquisitions down to an effective lower PRF. A sparsity condition of the received SAR data ensures that the uniformly resampled data approximate the spectral properties of a decimated densely sampled version of the received SAR data. While experiments conducted with both synthetically generated and real airborne SAR data show that POLYPHASE retains comparable performance with the state-of-the-art best linear unbiased interpolation scheme in image quality, a polyphase filter-based implementation of POLYPHASE offers significant computational savings for arbitrary (not necessarily periodic) input PRF variations, thus allowing fully on-board, in-place, and real-time implementation.

Original languageEnglish (US)
JournalIEEE Transactions on Geoscience and Remote Sensing
DOIs
StateAccepted/In press - Jul 1 2017

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Keywords

  • Interferometric synthetic aperture radar (InSAR)
  • polyphase filter implementation
  • synthetic aperture radar (SAR)
  • variable pulse repetition frequency (PRF).

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Earth and Planetary Sciences(all)

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