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| Citation: | ZHOU Ningning, ZHU Shitao, NIAN Yiheng, et al. An intelligent target feature recognition method based on multi-mode OAM beams[J]. Journal of Radars, 2021, 10(5): 760–772. doi: 10.12000/JR21056
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An Intelligent Target Feature Recognition Method Based on Multi-mode OAM Beams
doi: 10.12000/JR21056
More Information-
Abstract
Target detection based on space modulation requires a large number of test modes with space-time independence. The Orbital Angular Momentum (OAM) beams are orthogonal to each other and have infinite modes. Due to the strong dispersive materials, multi-mode OAM beams with the same scattering angle can be generated in the frequency domain. In this manuscript, the propagation characteristics of multi-mode OAM beams are analyzed, which can be utilized to improve detection efficiency. The echoes from the target illuminated by the multi-mode OAM beams are then investigated in three different application scenarios. A convolution neural network is employed to extract the relationship between the echo data and the target image based on prior knowledge. The target and the imaging scenarios can be distinguished with a high probability. Finally, the proposed method’s anti-noise performance is analyzed. The experimental results show that in the ideal state, the accuracy of target scene judgment can reach 97.5%. The accuracy of the target location recognition is higher than 80% when the interval between two adjacent targets in a scene is larger than a threshold. The accuracy of the target location recognition in three scenes is greatly reduced when SNR is less than 20 dB, depending on the scene. -
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References
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- Figure 1. Structure diagram of OAM beam generated by uniform circular array
- Figure 2. Amplitude and phase distribution of OAM beams with 2-mode and 3-mode
- Figure 3. Scene sketch of three observation planes
- Figure 4. Observation results of three observation planes
- Figure 5. Schematic diagram of radial phase variation
- Figure 6. Schematic diagram of observation section
- Figure 7. Echo pattern of traditional beam and OAM beam through different reflector
- Figure 8. Schematic diagram of three reflection scenes
- Figure 9. Reflection information at observation point in reflection scene 1
- Figure 10. Reflection information at observation point in reflection scene 2
- Figure 11. Reflection information at observation point in reflection scene 3
- Figure 12. Schematic diagram of network structure
- Figure 13. Variation curve of loss function
- Figure 14. Amplitude and phase characteristics of 2-mode OAM beam when SNR is 10 dB
- Figure 15. Influence of SNR on scene judgment
- Figure 16. Influence of SNR on number of correct judgments
- Figure 17. Schematic diagram of sample data acquisition and label setting
- Figure 18. Influence of target interval on accuracy of target location recognition in scene
- Figure 19. Influence of SNR on the accuracy of target position recognition in scene