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Research Letter

Tensor structure-based ground clutter suppression approaches for pulse doppler radar

, , & ORCID Icon
Pages 457-465 | Received 19 Jun 2023, Accepted 16 Mar 2024, Published online: 03 Apr 2024

References

  • Barrett, C. R. 1987. “MTI and pulsed doppler radar.” In Principles of Modern Radar, edited by J. L. Eaves, and E. K. Reedy, 422–464. Boston, USA: Springer.
  • Bo, C., H. Gu, and W. Su. 2013. “Over-The-Horizon Radar Sea Clutter Suppression Algorithm Based on Tensor Decomposition.” Paper presented at the 2013 IEEE International Conference on Signal Processing, Communication and Computing, KunMing, China, 1–4. https://doi.org/10.1109/ICSPCC.2013.6663983.
  • De, L. L., J. Vandewalle, and M. B. De. 2000. “A Multilinear Singular Value Decomposition.” SIAM Journal on Matrix Analysis and Applications 21 (4): 1253–1278. https://doi.org/10.1137/s0895479896305696.
  • Gelli, S., and M. Martorella. 2020. “A Cognitive Architecture for Space Time Adaptive Processing.” Paper presented at the 2020 IEEE International Radar Conference, Washington DC, USA, 7–12. https://doi.org/10.1109/RADAR42522.2020.9114809.
  • Goodman, N. A., and J. M. Stiles. 2007. “On Clutter Rank Observed by Arbitrary Arrays.” IEEE Transactions on Signal Processing 55 (1): 178–186. https://doi.org/10.1109/TSP.2006.882071.
  • Guo, Y., G. Liao, J. Li, and T. Gu. 2020. “A Clutter Suppression Method Based on NSS-RPCA in Heterogeneous Environments for SAR-GMTI.” IEEE Transactions on Geoscience and Remote Sensing 58 (8): 5880–5891. https://doi.org/10.1109/TGRS.2020.2972060.
  • Li, Y., X. Yue, X. Wu, L. Zhang, Q. Zhou, X. Yi, and N. Liu. 2020. “A Higher-Order Singular Value Decomposition-Based Radio Frequency Interference Mitigation Method on High-Frequency Surface Wave Radar.” IEEE Transactions on Geoscience & Remote Sensing 58 (4): 2770–2781. https://doi.org/10.1109/TGRS.2019.2955472.
  • Lu, C., J. Feng, Y. Chen, W. Liu, Z. Lin, and S. Yan. 2020. “Tensor Robust Principal Component Analysis with a New Tensor Nuclear Norm.” IEEE Transactions on Pattern Analysis and Machine Intelligence 42 (4): 925–938. https://doi.org/10.1109/TPAMI.2019.2891760.
  • Lu, C., J. Feng, S. Yan, and Z. Lin. 2018. “A Unified Alternating Direction Method of Multipliers by Majorization Minimization.” IEEE Transactions on Pattern Analysis and Machine Intelligence 40 (3): 527–541. https://doi.org/10.1109/TPAMI.2017.2689021.
  • Lu, X., B. Xu, T. S. Yeo, W. Su, and H. Gu. 2021. “Co-Located MIMO Radar Target Detection in Cluttered and Noisy Environment Based on 2D Block Sparse Recovery.” IEEE Transactions on Signal Processing 69:3434–3445. https://doi.org/10.1109/TSP.2021.3086362.
  • Nezirovic, A., A. G. Yarovoy, and L. P. Ligthart. 2010. “Signal Processing for Improved Detection of Trapped Victims Using UWB Radar.” IEEE Transactions on Geoscience and Remote Sensing 48 (4): 2005–2014. https://doi.org/10.1109/TGRS.2009.2036840.
  • Qiu, L., T. Jin, Y. He, B. Lu, and Z. Zhou. 2017. “Sparse and Low-Rank Matrix Decomposition Based Micro-Motion Target Indication in Through-The-Wall Radar.” Electronics Letters 53 (3): 191–192. https://doi.org/10.1049/el.2016.3983.
  • Tang, G., G. Lu, Z. Wang, and Y. Xie. 2016. “Robust Tensor Principal Component Analysis by Lp-Norm for Image Analysis.” Paper presented at the 2nd IEEE International Conference on Computer and Communications, Chengdu, China, 568–573. https://doi.org/10.1109/CompComm.2016.7924765.
  • Tao, M., S. Lai, J. Li, J. Su, Y. Fan, and L. Wang. 2022. “Extraction and Mitigation of Radio Frequency Interference Artifacts Based on Time-Series Sentinel-1 SAR Data.” IEEE Transactions on Geoscience & Remote Sensing 60:1–11. https://doi.org/10.1109/TGRS.2021.3126485.
  • Wang, L., W. Hou, X. Wu, and L. Chen. 2020. “3D MR Image Denoising Using a Modified Adaptive High Order Singular Value Decomposition Method.” Paper presented at 2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, Montreal, QC, Canada, 1580–1583. https://doi.org/10.1109/EMBC44109.2020.9175418.
  • Xu, B., X. Lu, H. GU, and W. Su. 2022. “A Joint Clutter Suppression Method Based on Robust Principal Component Analysis and Total Variation Denoising.” Electronics Letters 58 (5): 213–215. https://doi.org/10.1049/ell2.12399.
  • Yan, H., R. Wang, F. Li, Y. Deng, and Y. Liu. 2013. “Ground Moving Target Extraction in a Multichannel Wide-Area Surveillance SAR/GMTI System via the Relaxed PCP.” IEEE Geoscience and Remote Sensing Letters 10 (3): 617–621. https://doi.org/10.1109/LGRS.2012.2216248.
  • Zhang, S., X. Lu, J. Yu, Z. Dai, W. Su, and H. Gu. 2024. “Clutter Suppression for Radar via Deep Joint Sparse Recovery Network.” IEEE Geoscience and Remote Sensing Letters 21: 1–5. https://doi.org/10.1109/LGRS.2023.3332035.

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