Abstract
Frequency Diverse Inverse Synthetic Aperture Radar (FD-ISAR) transmits signals of different frequencies at different observation times to synthesize large broadband signals, which can be reduced transmitter costs. However, when FD-ISAR transmits single-frequency signals with different arrangements, it will cause the inability to obtain the range profile at a single observation time and the failure of the Fourier transforms imaging method, which will affect FD-ISAR translational compensation. To solve this problem, this paper proposes a FD-ISAR translational compensation algorithm that flexibly sets the frequency offset of the transmitted signal for non-cooperative targets. The algorithm uses the minimum image entropy criterion as the objective function, cross-correlation algorithm rough estimation and back projection (Back Projection, BP) autofocus algorithm jointly realizes motion parameter estimation and translation compensation of non-cooperative targets. The simulation experiment tests the effectiveness of this method for the translational compensation of non-cooperative targets with unknown moving speed.
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Acknowledgements
This work was supported part by National Natural Science Foundation of China (61701128), part by Guangxi science and technology project (AD18281061) and by postgraduate innovation program project (2021YCXS036).
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Lian, W., Liao, K., Liu, X. (2022). FD-ISAR Translational Compensation Algorithm Based on Observation Subset. In: Liu, Q., Liu, X., Chen, B., Zhang, Y., Peng, J. (eds) Proceedings of the 11th International Conference on Computer Engineering and Networks. Lecture Notes in Electrical Engineering, vol 808. Springer, Singapore. https://doi.org/10.1007/978-981-16-6554-7_180
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DOI: https://doi.org/10.1007/978-981-16-6554-7_180
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