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| Citation: | ZENG Tao, WEN Yuhan, WANG Yan, et al. Research progress on synthetic aperture radar parametric imaging methods[J]. Journal of Radars, 2021, 10(3): 327–341. doi: 10.12000/JR21004
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Research Progress on Synthetic Aperture Radar Parametric Imaging Methods（in English）
doi: 10.12000/JR21004
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Abstract
Under the constraints of the point scattering model, traditional Synthetic Aperture Radar (SAR) imaging algorithms can be regarded as a mapping from data space to image space. However, most objects in the real scene are extended targets, which are mismatched with the point scattering model in traditional linear imaging algorithms. The abovementioned reasons lead to the distortion of SAR image representation. A common phenomenon is that the extended targets appear as isolated scattered points, which hinder the application of target recognition on the basis of SAR images. SAR parametric nonlinear imaging techniques are established to solve the abovementioned model mismatch problem. Such methods are characterized by the scattering models that consider point targets and extended targets. Specifically, by using the sensitivity of the phase and amplitude characteristics of the echoes or images to the observation angles, SAR parametric imaging methods can first identify the target type and estimate the scattering parameters, and then reconstruct the target image on the basis of the scattering model. SAR parametric imaging methods can obtain better image quality than traditional linear methods for extended targets. This article mainly introduces the parametric imaging methods of linear extended targets, which correspond to the isolated strong points and continuous edges of objects in the real scene, and discusses the parametric imaging methods on the basis of the echo and image domains and experimental results. Last, the future development trends of SAR parametric imaging methods are discussed. -
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References
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- Figure 1. The imaging result of the backhoe from the AFRL
- Figure 2. The block diagram of parametric imaging
- Figure 3. Images of a linear structure with different observation angles
- Figure 4. The linear structure and its echo
- Figure 5. Images of a arc structure with different observation angles
- Figure 6. The arc structure and its echo
- Figure 7. The envelope of sinc function and cosine function
- Figure 8. The block diagram of parametric imaging method based on echo domain features
- Figure 9. The observation geometry in the microwave anechoic chamber
- Figure 10. Experimental results
- Figure 11. The imaging result of the backhoe from the AFRL
- Figure 12. The SAR image of a point target and the phase feature
- Figure 13. The SAR image of an endpoint and the phase feature
- Figure 14. The observation geometry in microwave anechoic chamber
- Figure 15. The optical images of the metal cylinder and spheres
- Figure 16. The results of the microwave anechoic chamber experiment
- Figure 17. Experiment results based on MIMO radar
- Figure 18. The amplitude of different types of point targets under different observation angles of radar
- Figure 19. Block diagram of target identification method based on wide-angle amplitude feature
- Figure 20. The experimental results of the backhoe from the AFRL
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