Volume 8 Issue 5
Oct.  2019
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ZHAO Kaifa, SONG Hu, LIU Rong, et al. Distributed radar main-lobe interference suppression method via joint optimization of array configuration and subarray element number[J]. Journal of Radars, 2024, 13(6): 1355–1369. doi: 10.12000/JR24192
Citation: JIANG Wen and LI Wangzhe. A new method for parameter estimation of attributed scattering centers based on amplitude-phase separation[J]. Journal of Radars, 2019, 8(5): 606–615. doi: 10.12000/JR18097
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A New Method for Parameter Estimation of Attributed Scattering Centers Based on Amplitude-phase Separation

DOI: 10.12000/JR18097

  • National Key Lab of Microwave Imaging Technology, Beijing 100190, China

  • Institute of Electronics Chinese Academy of Sciences, Beijing 100190, China

  • University of Chinese Academy of Sciences, Beijing 100049, China

Funds:  The National Natural Science Foundation of China (61701476, 61690191)
More Information
  • Corresponding author: LI Wangzhe, wzli@mail.ie.ac.cn
  • Received Date: 2018-11-15
  • Rev Recd Date: 2019-04-09
    • Available Online: 2019-06-28
  • Publish Date: 2019-10-01
    Abstract
  • Parameter estimation of Attributed Scattering Centers (ASCs) corresponding to scattering geometries on targets plays an important role in Synthetic Aperture Radar (SAR) imaging-assisted Automatic Target Recognition (ATR). To achieve computational savings and clutter suppression, we extract the measurements of several ASCs and estimate the parameters of each ASC separately. To improve the speed of the estimation process, we propose a method for parameter estimation of ASCs based on amplitude–phase separation that considers a reasonable assumption that the amplitude- and phase-related parameters of an ASC can be estimated separately and independently. Through the proposed method, the complexity and time consumed for parameter estimation are reduced by one order of magnitude than the traditional method. The Iterative Half Thresholding (IHT) algorithm is introduced to enhance the accuracy of parameter estimation. The types and locations of scattering geometries on the target are determined using the estimated ASC parameters. Using simulated data, measured data, and MSTAR data sets, the accuracy and efficiency of parameter estimation are improved and the effectiveness of the proposed method is verified.

     

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