Vol. 98
Latest Volume
All Volumes
PIERM 137 [2026] PIERM 136 [2025] PIERM 135 [2025] PIERM 134 [2025] PIERM 133 [2025] PIERM 132 [2025] PIERM 131 [2025] PIERM 130 [2024] PIERM 129 [2024] PIERM 128 [2024] PIERM 127 [2024] PIERM 126 [2024] PIERM 125 [2024] PIERM 124 [2024] PIERM 123 [2024] PIERM 122 [2023] PIERM 121 [2023] PIERM 120 [2023] PIERM 119 [2023] PIERM 118 [2023] PIERM 117 [2023] PIERM 116 [2023] PIERM 115 [2023] PIERM 114 [2022] PIERM 113 [2022] PIERM 112 [2022] PIERM 111 [2022] PIERM 110 [2022] PIERM 109 [2022] PIERM 108 [2022] PIERM 107 [2022] PIERM 106 [2021] PIERM 105 [2021] PIERM 104 [2021] PIERM 103 [2021] PIERM 102 [2021] PIERM 101 [2021] PIERM 100 [2021] PIERM 99 [2021] PIERM 98 [2020] PIERM 97 [2020] PIERM 96 [2020] PIERM 95 [2020] PIERM 94 [2020] PIERM 93 [2020] PIERM 92 [2020] PIERM 91 [2020] PIERM 90 [2020] PIERM 89 [2020] PIERM 88 [2020] PIERM 87 [2019] PIERM 86 [2019] PIERM 85 [2019] PIERM 84 [2019] PIERM 83 [2019] PIERM 82 [2019] PIERM 81 [2019] PIERM 80 [2019] PIERM 79 [2019] PIERM 78 [2019] PIERM 77 [2019] PIERM 76 [2018] PIERM 75 [2018] PIERM 74 [2018] PIERM 73 [2018] PIERM 72 [2018] PIERM 71 [2018] PIERM 70 [2018] PIERM 69 [2018] PIERM 68 [2018] PIERM 67 [2018] PIERM 66 [2018] PIERM 65 [2018] PIERM 64 [2018] PIERM 63 [2018] PIERM 62 [2017] PIERM 61 [2017] PIERM 60 [2017] PIERM 59 [2017] PIERM 58 [2017] PIERM 57 [2017] PIERM 56 [2017] PIERM 55 [2017] PIERM 54 [2017] PIERM 53 [2017] PIERM 52 [2016] PIERM 51 [2016] PIERM 50 [2016] PIERM 49 [2016] PIERM 48 [2016] PIERM 47 [2016] PIERM 46 [2016] PIERM 45 [2016] PIERM 44 [2015] PIERM 43 [2015] PIERM 42 [2015] PIERM 41 [2015] PIERM 40 [2014] PIERM 39 [2014] PIERM 38 [2014] PIERM 37 [2014] PIERM 36 [2014] PIERM 35 [2014] PIERM 34 [2014] PIERM 33 [2013] PIERM 32 [2013] PIERM 31 [2013] PIERM 30 [2013] PIERM 29 [2013] PIERM 28 [2013] PIERM 27 [2012] PIERM 26 [2012] PIERM 25 [2012] PIERM 24 [2012] PIERM 23 [2012] PIERM 22 [2012] PIERM 21 [2011] PIERM 20 [2011] PIERM 19 [2011] PIERM 18 [2011] PIERM 17 [2011] PIERM 16 [2011] PIERM 14 [2010] PIERM 13 [2010] PIERM 12 [2010] PIERM 11 [2010] PIERM 10 [2009] PIERM 9 [2009] PIERM 8 [2009] PIERM 7 [2009] PIERM 6 [2009] PIERM 5 [2008] PIERM 4 [2008] PIERM 3 [2008] PIERM 2 [2008] PIERM 1 [2008]
2020-10-29
A New Passive Coding Imaging Method in Synthetic Aperture Interferometric Radiometer
By
Progress In Electromagnetics Research M, Vol. 98, 35-44, 2020
Abstract
Synthetic aperture interferometric radiometer (SAIR) is a high-resolution passive imager by sparsely arranging a number of small aperture antennas to synthesize a large aperture. However, the SAIR requires as many receivers as antennas needed, which results in high system complexity and hardware cost and limits the application of the SAIR. Aiming to reduce the system complexity of SAIR, a new passive coding imaging method is proposed in this paper. By using a new aperture coded measurement approach, the proposed method can significantly reduce the number of RF chains while keeping the image fidelity. The effectiveness of the proposed imaging method has been varified by simulations. The results reveal that the proposed method can be an efficient alternative for simplifying the architectures of SAIR.
Citation
Jinguo Wang, Zhaozhao Gao, Jie Gu, Xiaoyun Zhang, Shiwen Li, Zitong Dong, Zilong Zhao, Fan Jiang, Bo Qi, and Wei Zhao, "A New Passive Coding Imaging Method in Synthetic Aperture Interferometric Radiometer," Progress In Electromagnetics Research M, Vol. 98, 35-44, 2020.
doi:10.2528/PIERM20061807
References

1. Corbella, I., F. Torres, A. Camps, A. Colliander, M. Mart´ın-Neira, S. Rib´o, K. Rautiainen, N. Duffo, and M. Vall-llossera, "MIRAS end-to-end calibration: Application to SMOS L1 processor," IEEE Trans. Geoscience and Remote Sensing, Vol. 43, No. 5, 1126-1134, 2005.
doi:10.1109/TGRS.2004.840458        Google Scholar

2. Su, K., W. Z. Liu, B. R. Barat, D. E. Gary, H. Z. Michalopoulou, and J. F. Federici, "Two dimensional interferometric and synthetic aperture imaging with a hybrid terahertz/millimeter wave system," Applied Optics, Vol. 49, No. 19, 13-19, Jul. 2010.
doi:10.1364/AO.49.000E13        Google Scholar

3. Zhang, C., J. Wu, H. Liu, and Y. Yan, "Imaging algorithm for synthetic aperture interferometric radiometer in near field," Science China Technological Sciences, Vol. 54, No. 8, 2224-2231, 2011.
doi:10.1007/s11431-011-4403-3        Google Scholar

4. Wu, J., C. Zhang, H. Liu, and J. Yan, "Performance analysis of circular antenna array for microwave interferometric radiometers," IEEE Trans. Geoscience and Remote Sensing, Vol. 55, No. 6, 3261-3271, 2017.
doi:10.1109/TGRS.2017.2667042        Google Scholar

5. Chen, J., Y. Li, J. Wang, Y. Li, and Y. Zhang, "An accurate imaging algorithm for millimeter wave synthetic aperture imaging radiometer in near field," Progress In Electromagnetics Research, Vol. 141, 517-535, 2013.
doi:10.2528/PIER13060702        Google Scholar

6. Zhang, Y., Y. Li, S. Zhu, and Y. Li, "A robust reweighted L1-minimization imaging algorithm for passive millimeter wave SAIR in near field," Sensors, Vol. 15, No. 10, 24945-24960, Sept. 2015.
doi:10.3390/s151024945        Google Scholar

7. Zhang, C., H. Liu, L. Niu, and J. Wu, "System design and preliminary tests of an L-band clock scan microwave interferometric radiometer," 2017 International Geoscience and Remote Sensing Symposium, 715-718, 2017.
doi:10.1109/IGARSS.2017.8127052        Google Scholar

8. Zhang, C., H. Liu, L. Niu, and J. Wu, "CSMIR: An L-band clock scan microwave interferometric radiometer," IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 1-9, 2018.
doi:10.1109/JSTARS.2018.2837222        Google Scholar

9. Li, S., X. Zhou, B. Ren, H.-J. Sun, and X. Lv, "A compressive sensing approach for synthetic aperture imaging radiometers," Progress In Electromagnetics Research, Vol. 135, 583-599, 2013.
doi:10.2528/PIER12110603        Google Scholar

10. Wang, J., Z. Gao, J. Gu, S. Li, X. Zhang, Z. Dong, Z. Zhao, F. Jiang, B. Qi, and P. Xian, "A new passive imaging technique based on compressed sensing for synthetic aperture interferometric radiometer," IEEE Geoscience and Remote Sensing Letters, doi: 10.1109/LGRS.2019.2958033.        Google Scholar

11. Kpre, E. L. and C. Decroze, "Passive coding technique applied to synthetic aperture interferometric radiometer," IEEE Geoscience and Remote Sensing Letters, Vol. 14, No. 8, 1193-1197, 2017.
doi:10.1109/LGRS.2017.2700953        Google Scholar

12. Kpre, E. L. and C. Decroze, "Synthetic Aperture Interferometric Imaging using a passive microwave coding device," 2016 IEEE Conference on Antenna Measurements Applications (CAMA), 1-4, Oct. 23–27, 2016.        Google Scholar

13. Kpre, E. L. and C. Decroze, "Passively coded synthetic aperture interferometric radiometer (CSAIR): Theory and measurement results," European Conference on Antennas and Propagation, 1243-1246, Mar. 23–27, 2017.        Google Scholar

14. Hill, D. A., "Electromagnetic theory of reverberation chambers," NIST Technical Note, 1506, Dec. 1998.        Google Scholar

15. Candes, E. J. and M. Wakin, "An introduction to compressive sampling," IEEE Signal Processing Magazine, Vol. 25, No. 2, 21-30, Mar. 2008.
doi:10.1109/MSP.2007.914731        Google Scholar

16. Figueiredo, A. T., R. D. Nowak, and S. J. Wright, "Gradient projection for sparse reconstruction: Application to compressed sensing and other inverse problems," IEEE Journal of Selected Topics in Signal Processing, Vol. 1, No. 4, 586-597, 2007.
doi:10.1109/JSTSP.2007.910281        Google Scholar

17. Hu, F., X. Peng, F. He, L. Wu, J. Li, Y. Chen, and D. Zhu, "RFI mitigation in aperture synthesis radiometers using a modified clean algorithm," IEEE Geoscience and Remote Sensing Letters, Vol. 14, No. 1, 13-17, 2017.
doi:10.1109/LGRS.2016.2622760        Google Scholar