Journal of Systems Engineering and Electronics ›› 2025, Vol. 36 ›› Issue (4): 867-879.doi: 10.23919/JSEE.2023.000155
• •
-
收稿日期:2022-04-11接受日期:2023-08-14出版日期:2025-08-18发布日期:2025-09-04
Incoherence parameter estimation and multiband fusion based on the novel structure-enhanced spatial spectrum algorithm
Libing JIANG1(
), Shuyu ZHENG1(), Qingwei YANG1(), Xiaokuan ZHANG2(), Zhuang WANG1,*()
- 1 College of Electronic Science and Technology, National University of Defense Technology, Changsha 410073, China
2 College of Air and Missile Defense, Air Force Engineering University, Xi’an 710051, China
-
Received:2022-04-11Accepted:2023-08-14Online:2025-08-18Published:2025-09-04 -
Contact:Zhuang WANG E-mail:jianglibing@nudt.edu.cn;1846372244@qq.com;1931530943@qq.com;ezxk@sina.com;zhuang_wang@sina.com -
About author:
JIANG Libing was born in 1982. He received his Ph.D. degree in information and communication engineering from National University of Defense Technology, Changsha, China, in 2014. He is an associate professor in the School of Electronics Science and Engineering, National University of Defense Technology, Changsha, China. His current research interests include electromagnetic scattering modeling, microwave imaging, and radar image interpretation. E-mail:jianglibing@nudt.edu.cn
ZHENG Shuyu was born in 1996. He received his B.S. degree in fire control and command and M.S. degree in electronic science and technology from Air Force Engineering University, Xi ’an, China, in 2014 and 2020, respectively. He is working toward his Ph.D. degree in the science and technology on ATR, National University of Defense Technology, Changsha, China. His current research interests include radar signal processing and three dimensional imaging of space targets. E-mail: 1846372244@qq.com
YANG Qingwei was born in 1994. He received his M.S. degree in information and communication engineering from National University of Defense Technology, Changsha, China, in 2020. He is working toward his Ph.D. degree in the science and technology on ATR, National University of Defense Technology, Changsha, China. His current research interests include space target surveillance and radar resource scheduling and allocation. E-mail: 1931530943@qq.com
ZHANG Xiaokuan was born in 1973. He received his B.S. degree in radar engineering from Air Force Engineering University, Xi ’an, China, in 1992, and M.S. and Ph.D. degrees in electronic science and technology from Air Force Engineering University, Xi ’an, China, in 1996 and 2003, respectively. He is a professor in the Air and Missile Defense College, Air Force Engineering University, Xi ’an, China. His current research interests include the theory of electromagnetic scattering and radar signal processing, radar cross section of stealth targets and electronic countermeasure. E-mail: ezxk@sina.com
WANG Zhuang was born in 1974. He received his Ph.D. degree in information and communication engineering from National University of Defense Technology, Changsha, China, in 2001. He is a professor in the School of Electronics Science and Engineering, National University of Defense Technology, Changsha, China. His current research interests include radar signal processing, space target surveillance, and target recognition. E-mail: zhuang_wang@sina.com
引用本文
. [J]. Journal of Systems Engineering and Electronics, 2025, 36(4): 867-879.
Libing JIANG, Shuyu ZHENG, Qingwei YANG, Xiaokuan ZHANG, Zhuang WANG. Incoherence parameter estimation and multiband fusion based on the novel structure-enhanced spatial spectrum algorithm[J]. Journal of Systems Engineering and Electronics, 2025, 36(4): 867-879.
"
"
"
| Scattering center | |||
| Scatterer 1 | 1. 8 | 1. 0 | 6. 0 |
| Scatterer 2 Scatterer 3 Scatterer 4 | 2. 5 1. 2 1. 1 | 0. 5 0 −0.5 | 5. 0 4. 0 3. 0 |
"
"
"
"
"
"
"
"
"
"
"
"
"
"
"
"
"
| Algorithm | Complexity | Computational time/s |
| Conventional method | ||
| FB-based method | ||
| Proposed method |
"
| 1 |
ZHANG H H, CHEN R S Coherent processing and super resolution technique of multi-band radar data based on fast sparse bayesian learning algorithm. IEEE Trans. on Antennas and Propagation, 2014, 62 (12): 6217- 6227.
doi: 10.1109/TAP.2014.2361158 |
| 2 |
CUOMO K M, PIOU J E, MAYHAN J T Ultrawide-band coherent processing. IEEE Trans. on Antennas and Propagation, 1999, 47 (6): 1094- 1107.
doi: 10.1109/8.777137 |
| 3 | FU Y W, ZHANG C, LI X, et al Research on multiband radar fusion of one dimensional super resolution imaging technology. Progress in Natural Science, 2006, 16, 1310- 1316. |
| 4 | WANG C. Research on radar signal level fusion imaging techniques. Changsha: National University of Defense and Technology, 2006. (in Chinese) |
| 5 |
TIAN J, SUN J P, WANG G H, et al Multiband radar signal coherent fusion processing with IAA and apFFT. IEEE Signal Process Letters, 2013, 20 (5): 463- 466.
doi: 10.1109/LSP.2013.2251631 |
| 6 |
ZHANG Y, WANG T J, ZHAO H P, et al Multiple radar subbands fusion algorithm based on support vector regression in complex noise environment. IEEE Trans. on Antennas and Propagation, 2018, 66 (1): 381- 392.
doi: 10.1109/TAP.2017.2769135 |
| 7 | TIAN B, CHEN Z P, XU S Sparse subband fusion imaging based on parameter estimation of geometrical theory of diffraction model. IET Radar, Sonar and Navigation, 2013, 8, 318- 326. |
| 8 |
ZOU Y Q, GAO X Z, LI X, et al A matrix pencil algorithm based multiband iterative fusion imaging method. Science Report, 2016, 6, 19440.
doi: 10.1038/srep19440 |
| 9 | XIONG D, WANG J L, ZHAO L Z, et al Unitary ESPRIT based multiband fusion ISAR imaging. Journal of Electronics and Information Technology, 2019, 41 (2): 285- 292. |
| 10 | ZHU X X, SHANG C X, GUO B F, et al Multiband fusion inverse synthetic aperture radar imaging based on variational Bayesian inference. Journal of Applied Remote Sensing, 2020, 14 (3): 036511. |
| 11 |
ZHU X, GUO B, HU W H, et al Scene Segmentation of multi-band ISAR fusion imaging based on MB-PCSBL. IEEE Sensors Journal, 2021, 21 (3): 3520- 3532.
doi: 10.1109/JSEN.2020.3026109 |
| 12 |
POTTER L C, CHIANG D M D, CARRIERE R, et al A GTD-based parametric model for radar scattering, IEEE Trans. on Antennas and Propagation, 1995, 43 (10): 1058- 1067.
doi: 10.1109/8.467641 |
| 13 | WANG T J. Reasearch on subband fusion techniques for ultra wideband. Chengdu: University of Electronics and Science Technology, 2018. (in Chinese) |
| 14 | ZHENG S Y, ZHANG X K, ZHAO W C, et al. Parameter estimation of GTD model and RCS extrapolation based on a modified 3D-ESPRIT algorithm. Journal of Systems Engineering and Electronics, 2020, 31(6): 1206−1215. |
| 15 | ZHENG S Y, ZHANG X K, ZONG B F, et al. Parameter estimation of the 2D-GTD model and RCS reconstruction based on an improved 2D-ESPRIT algorithm. International Journal of RF and Microwave Computer-Aided Engineering, 2020, 30(7): 1−11. |
| 16 |
WU J X, ZHAO Y, ZHANG L, et al Accelerating 3-D MUSIC algorithm with fast Fourier transform for collocated FDMA-MIMO radar with subarray configuration. IEEE Sensors Journal, 2023, 23 (8): 8744- 8752.
doi: 10.1109/JSEN.2022.3228904 |
| 17 | CUI S M, JIN D G, FANG D G. Scattering centre analysis of radar targets with the use of the matrix pencil combined with the GTD-based method. Microwave Optical Technology Letters, 1997, 14(4): 244−247. |
| 18 | GHASEMI M, SHEIKHI A. Joint scattering centre enumeration and parameter estimation in GTD model. IEEE Trans. on Antennas and Propagation, 2020, 68(6): 4786−4798. |
| 19 |
ZHOU J X, ZHAO H Z, SHI Z G, et al Global scattering centre model extraction of radar targets based on wideband measurements. IEEE Trans. on Antennas and Propagation, 2008, 56 (7): 2051- 2060.
doi: 10.1109/TAP.2008.924698 |
| 20 | WANG J. A study on radar optical region target scattering centre extraction and its applications. Nanjing: Nanjing University of Aeronautics and Astronautics, 2010. (in Chinese) |
| 21 | VITTORIA B, MARIA L C, DOMENICO V A short review on minimum description length: an application to dimension reduction in PCA. Entropy, 2022, 24 (2): 1- 16. |
| 22 |
CAI J N, HU S B, JIN Y, et al A CA-CFAR-like detector using the Gerschgorin circle theorem for bistatic space based radar. IEEE Trans. on Aerospace and Electronic Systems, 2021, 57 (6): 4137- 4148.
doi: 10.1109/TAES.2021.3088905 |
| 23 | ZOU Y Q, GAO X Z, LI X. Multiband radar signal high precision fusion imaging method based on matrix pencil algorithm. Systems Engineering and Electronics, 2016, 5(38): 1017−1024. (in Chinese) |
| 24 | DONG M, ZHANG S H, WU X D, et al. An improved spatial smoothing technique. Journal of Electronics and Information Technology, 2008, 30(4): 859−862. (in Chinese) |
| 25 | CIHAD S A, YILDIRIM B, SULTAN A C. DOA estimation in the presence of mutual coupling using Root-MUSIC algorithm. Proc. of the 8th International Conference on Electrical and Electronics Engineering, 2021: 292−298. |
| 26 | SHU C G, LIU Y M. An improved forward/backward spatial smoothing Root-MUSIC algorithm based on signal decorrelation. Proc. of the IEEE Workshop on Advanced Research and Technology in Industry Applications, 2014: 1252−1255. |
| 27 | ANAS A, FAN L L, MIAO Z X A tutorial on data-driven eigenvalue identification: prony analysis, matrix pencil, and eigensystem realization algorithm. International Transactions on Electronics and Energy System, 2020, 30 (4): e12283.1- e12283.17. |
| 28 |
LIU Y H, LIU Q H, NIE Z P Reducing the number of elements in the synthesis of shaped-beam patterns by the forward-backward matrix pencil method. IEEE Trans. on Antennas and Propagation, 2010, 58 (2): 604- 608.
doi: 10.1109/TAP.2009.2037709 |
| No related articles found! |
| 阅读次数 | ||||||
|
全文 |
|
|||||
|
摘要 |
|
|||||