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| Citation: | ZHOU Zibo, ZHANG Chaowei, XIA Saiqiang, et al. Feature extraction of rotor blade targets based on phase compensation in a passive bistatic radar[J]. Journal of Radars, 2021, 10(6): 929–943. doi: 10.12000/JR21132
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Feature Extraction of Rotor Blade Targets Based on Phase Compensation in a Passive Bistatic Radar
doi: 10.12000/JR21132
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Abstract
As a stable and widely covered signal resource, a Global Navigation Satellite System (GNSS) plays an important part in micro-Doppler extraction in a near field. This paper aims at the problems associated with rotor blade target recognition and proposes a novel solution based on phase compensation. First, the mathematical mechanism of flicker distribution in a time-frequency field is analyzed, and phase compensation is used to achieve the Doppler focusing, and then the blade number can be estimated. Second, according to the that the minimum delta frequency principle between the center frequency and standard frequency, the rotation velocity of the rotor blade is obtained. Next, blade lengths can be calculated through the flicker bandwidth in the time-frequency domain. Finally, the simulation experiments validate the effectiveness of the proposed method. -
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References
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- Figure 1. Micro-motion model of rotor targets in PBR
- Figure 2. The TFD of signal blade
- Figure 3. The result of different sinusoidal function
- Figure 4. The flowchart of the proposed method
- Figure 5. The echoes of asymmetry rotor targets
- Figure 6. The TFD of asymmetry rotor blade after phase compensation
- Figure 7. The variety of center frequency of standard flashes during iterations
- Figure 8. The optimal parameters search result
- Figure 9. The TFD of symmetry rotor blade after phase compensation
- Figure 10. The variety of center frequency of standard flashes during iterations
- Figure 11. The optimal parameters search result
- Figure 12. The effect of different angular velocity on locations of standard flashes
- Figure 13. The blade separation effect
- Figure 14. The echoes of different blade
- Figure 15. The TFD of echoes of different blade
- Figure 16. The result of Fourier transform
- Figure 17. The result of Hough method
- Figure 18. The experiment result of OMP algorithm