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      Error Analysis of Radar Coincidence Imaging in the Presence of Noise

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          Abstract

          Radar coincidence imaging is a new method for high-resolution staring imaging. First, the mathematical model is constructed. Second, the theoretical error for radar coincidence imaging in the presence of noise is derived using the parametric imaging method. Third, the factors that affect the error are analyzed. Fourth, the sparse reconstruction algorithm is used to perform numerical simulations of radar coincidence imaging with different parameters. Finally, the effects of signal bandwidth, array configuration, size of the imaging unit, and target complexity on image error in the presence of noise are discussed. This study provides the theoretical framework for parameters selection and SNR requirements for radar coincidence imaging systems.

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          Author and article information

          Journal
          Journal of Radars
          Chinese Academy of Sciences
          01 October 2014
          : 3
          : 5
          : 541-547
          Affiliations
          [1 ] School of Electronic Science and Engineering, National University of Defense Technology
          Article
          7eade9b0f5364eb48a2ae3366a5ffa4b
          10.3724/SP.J.1300.2014.14029

          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

          Remote sensing, Electrical engineering

          Error analysis, Radar coincidence imaging, Noise

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