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Local Interpolation-based Polar Format SAR: Algorithm, Hardware Implementation and Design Automation

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Abstract

In this paper we present a local interpolation-based variant of the well-known polar format algorithm used for synthetic aperture radar (SAR) image formation. We develop the algorithm to match the capabilities of the application-specific logic-in-memory processing paradigm, which off-loads lightweight computation directly into the SRAM and DRAM. Our proposed algorithm performs filtering, an image perspective transformation, and a local 2D interpolation, and supports partial and low-resolution reconstruction. We implement our customized SAR grid interpolation logic-in-memory hardware in advanced 14 nm silicon technology. Our high-level design tools allow to instantiate various optimized design choices to fit image processing and hardware needs of application designers. Our simulation results show that the logic-in-memory approach has the potential to enable substantial improvements in energy efficiency without sacrificing image quality.

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Acknowledgments

The authors acknowledge the support of the C2S2 Focus Center, one of six research centers funded under the Focus Center Research Program (FCRP), a Semiconductor Research Corporation entity.

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Authors and Affiliations

  1. Department of Electrical and Computer Engineering, Carnegie Mellon University, Pittsburgh, PA, USA

    Qiuling Zhu, Christian R. Berger, Eric L. Turner, Larry Pileggi & Franz Franchetti

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  1. Qiuling Zhu
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  2. Christian R. Berger
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  3. Eric L. Turner
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  4. Larry Pileggi
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  5. Franz Franchetti
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Correspondence to Qiuling Zhu.

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Zhu, Q., Berger, C.R., Turner, E.L. et al. Local Interpolation-based Polar Format SAR: Algorithm, Hardware Implementation and Design Automation. J Sign Process Syst 71, 297–312 (2013). https://doi.org/10.1007/s11265-012-0720-4

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  • DOI: https://doi.org/10.1007/s11265-012-0720-4

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