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| 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
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Improved Terahertz InISAR Imaging Method Based on Joint Processing of Dual-frequency Data
DOI: 10.12000/JR17109
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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
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- Figure 1. InISAR imaging geometry with L-antennas
- Figure 3. The 3D scatter model of airplane
- Figure 2. The InISAR imaging method based on the joint processing of dual-frequency data
- Figure 4. The 3D InISAR imaging result based on the joint processing of dual-frequency data
- Figure 5. The 3D InISAR imaging result based on the conventional method
- Figure 6. The error comparison between the proposed method and the conventional method