Volume 7 Issue 1
Feb.  2018
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Article Navigation >  Journal of Radars  > 2018  >  7(1): 139-146
Yang Jin-long, Liu Feng-mei, Wang Dong, Ge Hong-wei. Affinity Propagation Based Measurement Partition Algorithm for Multiple Extended Target Tracking[J]. Journal of Radars, 2015, 4(4): 452-459. doi: 10.12000/JR15003
Citation: Jiang Yanwen, Deng Bin, Wang Hongqiang, Qin Yuliang, Zhuang Zhaowen. Improved Terahertz InISAR Imaging Method Based on Joint Processing of Dual-frequency Data[J]. Journal of Radars, 2018, 7(1): 139-146. doi: 10.12000/JR17109
shu

Improved Terahertz InISAR Imaging Method Based on Joint Processing of Dual-frequency Data

DOI: 10.12000/JR17109

  • College of Electronic Science and Engineering, National University of Defense Technology, Changsha 410073, China

Funds:  The National Natural Science Foundation of China (61701513, 61571011)
  • Received Date: 2017-11-06
  • Rev Recd Date: 2018-01-29
    • Available Online: 2018-02-06
  • Publish Date: 2018-02-28
    Abstract
  • To improve the imaging accuracy of Interferometry Inverse Synthetic Aperture Radar (InISAR), in this paper, we propose a novel method based on the joint processing of dual-frequency data. First, we divide the radar echo into two parts in the fast-time domain, then we apply the conventional InISAR method to each dataset. By comparing and analyzing the imaging results of the two parts, we can identify and remove redundant and bad pixels. Using the proposed joint processing method, we obtained the InISAR imaging results of a scatter model of an airplane and calculated the Root Mean Square Error (RMSE). The simulation results show that the proposed method can effectively improve imaging accuracy with different Signal-to-Noise Ratio (SNR).

     

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    • References(20)
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      沈阳化工大学材料科学与工程学院 沈阳 110142

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