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      Solution to Layover Problemin Airborne Multi-baseline SAR Based on Spectrum Estimation with Fourth-order Cumulant

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          Abstract

          Layover is a difficult problem in SAR imaging technology. Airborne multi-baseline SAR systems are constrained by non-uniform baselines that are also few in number, which means the measured scattering point height is characterized by unacceptable error and poor resolution when using traditional spectrum estimation methods. To solve these problems, in this paper, we combine fourth-order cumulant statistical properties with traditional spectrum estimation methods. With its blind Gaussian noise characteristic, non-uniform virtual array extension of the fourth-order cumulant, and traditional Capon and MUSIC spectrum estimation approaches, the proposed method can effectively remove the Gaussian noise, while also improving the measurement accuracy and resolution of the scattering point heights. The simulation and real-data experimental results validate the effectiveness of our proposal.

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          Author and article information

          Journal
          Journal of Radars
          Chinese Academy of Sciences
          01 December 2018
          : 7
          : 6
          : 740-749
          Affiliations
          [1 ] ①(Beijing Institute of Radio Measurement, Beijing 100854, China) ②(The Second Academy of China Aerospace Science and Industry Corporation, Beijing 100854, China)
          [2 ] ①(Beijing Institute of Radio Measurement, Beijing 100854, China)
          Article
          8c37a4bcb82743f395fbdae7bff5ba02
          10.12000/JR18087

          This work is licensed under a Creative Commons Attribution 4.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

          Categories
          Technology (General)
          T1-995

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