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Coherent processing for ISAR imaging with sparse apertures

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Abstract

To implement target detection, tracking and imaging in a multifunctional radar system, the wideband measurements for inverse synthetic aperture radar (ISAR) imaging are usually sparsely recorded. Considering the incoherence problem in such sparse-aperture ISAR (SA-ISAR) systems, we concentrate on the study of a coherent processing method in this work. Based on an all-pole model, the incoherence parameters between abutting sub-apertures can be effectively estimated. After coherence compensation, an optimization-based SAISAR imaging approach is provided from the view of statistics. Simulation and real data experiments validate the feasibility and effectiveness of the proposals.

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Authors and Affiliations

  1. National Key Laboratory of Radar Signal Processing, Xidian University, Xi’an, 710071, China

    JiaLian Sheng, Lei Zhang, Gang Xu, MengDao Xing & Zheng Bao

Authors
  1. JiaLian Sheng
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  2. Lei Zhang
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  3. Gang Xu
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  4. MengDao Xing
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  5. Zheng Bao
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Correspondence to JiaLian Sheng.

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Sheng, J., Zhang, L., Xu, G. et al. Coherent processing for ISAR imaging with sparse apertures. Sci. China Inf. Sci. 55, 1898–1909 (2012). https://doi.org/10.1007/s11432-012-4606-7

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  • DOI: https://doi.org/10.1007/s11432-012-4606-7

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