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2022-02-16
An Efficient ADBF Algorithm Based on Keystone Transform for Wideband Array System
By
Yiyang Jiang,

    Dr. Yiyang Jiang

    College of Computer and Information Engineering

    Hohai University

    China

    Homepage

Mingwei Shen,

    Prof. Mingwei Shen

    College of Computer & Information Engineering

    Hohai University

    China

    Homepage

Guodong Han

    Dr. Guodong Han

    The 54th Research Institute of CETC

    China

    Homepage

Progress In Electromagnetics Research Letters, Vol. 102, 167-175, 2022
doi:10.2528/PIERL21112605 | Google Scholar

Abstract
In this paper, an efficient wideband array adaptive beamforming (ADBF) approach based on keystone transform is presented. In order to eliminate the aperture effect of the wideband signal, the modified keystone transform is applied to remove the time delay between different array elements. Thus, the wideband array is equivalent to the narrowband array, and the orthogonal projection matrix of the target steering vector can be used to filter the desired signal in the training samples, which avoids the signal cancellation caused in the estimation of ADBF covariance matrix. Compared with theestablished algorithm of sliding window, this approach can significantly reduce the computational burden. The feasibility and effectiveness of the proposed method are validated through numerical simulations.
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Citation
Yiyang Jiang, Mingwei Shen, and Guodong Han, "An Efficient ADBF Algorithm Based on Keystone Transform for Wideband Array System," Progress In Electromagnetics Research Letters, Vol. 102, 167-175, 2022.
doi:10.2528/PIERL21112605
References

1. Wang, J., D.-D. Cai, and F. Yang, "Aperture effect in uence and analysis of wideband phased array radar," Procedia Engineering, 2012.        Google Scholar

2. Zhu, X. and Z. Kai, "A study on compensation of aperture fill time based onfrequency-shifting," International Radar Conference, IET, 2013.        Google Scholar

3. Zhang, C. and Q. Lai, "Research on phased array radar affected by aperture fill time," Journal of Microwave Science, Vol. 33, No. 04, 67-69, 2017.        Google Scholar

4. Frost, III, O. L., "An algorithm for linearly constrained adaptive array processing," Proc. IEEE, Vol. 60, No. 8, 926-935, 1972.
doi:10.1109/PROC.1972.8817        Google Scholar

5. Hoffman, A. and S. M. Kogon, "Subband STAP in wideband radar systems," Proceedings of the 2000 IEEE Sensor Array and Multichannel Signal Processing Workshop, IEEE, 2000.        Google Scholar

6. Zhang, P., Z. Yang, G. Jing, et al. "Adaptive beamforming via desired signal robust removal for interference-plus-noise covariance matrix reconstruction," Circuits Systems & Signal Processing, Vol. 40, No. 3, 2021.        Google Scholar

7. Hu, P., M. Shen, C. Liang, et al. "An efficient broadband adaptive beamforming algorithm based on frequency-space cascade processing," Circuits Systems & Signal Processing, Vol. 37, No. 1, 1-12, 2017.        Google Scholar

8. Bao, Z., M. Xing, and T. Wang, Radar Imaging Technology, Beijing Publishing House of Electronics Industry, 2005.

9. Yi, H., C. Y. Fan, J. G. Yang, et al. "Imaging and locating multiple ground moving targets based on keystone transform and FrFT for single channel SAR system," 2nd Asian-Paci c Conference onSynthetic Aperture Radar, 2009, APSAR 2009, 2009.        Google Scholar

10. Jiao, Z. and Z. Wei, "A novel detection method based on generalized keystone transform and RFT for high-speed maneuvering target," International Symposium on Computational Intelligence & Design, IEEE, 2016.        Google Scholar

11. Wang, N., M. Zhou, B. Zhong, et al. "Wideband signal DOA estimation method based on keystone transform," The Journal of Engineering, Vol. 4, 2019.
doi:10.31186/jenggano.4.1.1-11        Google Scholar

12. Zhang, N., X. Tang, and J. Tang, "Broadband beamforming method based on keystone transform pre-processing," Journal of Tsinghua University (Science and Technology), Vol. 53, No. 7, 991-994, 2013.        Google Scholar

13. Subbaram, H. and K. Abend, "Interference suppression via orthogonal projections: A performance analysis," IEEE Sixth Sp Workshop on Statistical Signal & Array Processing, IEEE Xplore, 1993.        Google Scholar

14. Wang, Y., W. Sheng, and X. Chen, "A fast orthogonal projection beamforming algorithm for planar antenna arrays," Radar Science and Technology, Vol. 17, No. 3, 339-344, 2019.        Google Scholar

15. Wang, J. and Y. Zhao, "Research on keystone transform implementation method," Fire Control Radar Technology, Vol. 40, No. 1, 45-51, 2011.        Google Scholar

16. Chen, S., L. Huang, and L. Yu, "Variable PRF sampling spotlight SAR imaging based onimproved sinc interpolation," Journal of Radars, Vol. 8, No. 4, 527-536, 2019.        Google Scholar

17. Shackelford, A. K., K. Gerlach, and S. D. Blunt, "Partially adaptive STAP using the FRACTA Algorithm," IEEE Transactions on Aerospace & Electronic Systems, Vol. 45, No. 1, 58-69, 2009.
doi:10.1109/TAES.2009.4805263        Google Scholar

18. Xu, Z. H., M. Z. Chen, and B. Rao, "The optimal LCMV beamformer under multiple desired signals case," International Radar Conference, IET, 2013.        Google Scholar

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