Incoherence parameter estimation and multiband fusion based on the novel structure-enhanced spatial spectrum algorithm

doi:10.23919/JSEE.2023.000155

Journal of Systems Engineering and Electronics ›› 2025, Vol. 36 ›› Issue (4): 867-879.doi: 10.23919/JSEE.2023.000155

• ELECTRONICS TECHNOLOGY •

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:2022-04-11 Accepted:2023-08-14 Online:2025-08-18 Published: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

Abstract

Abstract:

In order to obtain better inverse synthetic aperture radar (ISAR) image, a novel structure-enhanced spatial spectrum is proposed for estimating the incoherence parameters and fusing multiband. The proposed method takes full advantage of the original electromagnetic scattering data and its conjugated form by combining them with the novel covariance matrices. To analyse the superiority of the modified algorithm, the mathematical expression of equivalent signal to noise ratio (SNR) is derived, which can validate our proposed algorithm theoretically. In addition, compared with the conventional matrix pencil (MP) algorithm and the conventional root-multiple signal classification (Root-MUSIC) algorithm, the proposed algorithm has better parameter estimation performance and more accurate multiband fusion results at the same SNR situations. Validity and effectiveness of the proposed algorithm is demonstrated by simulation data and real radar data.

Key words: multiband fusion, incoherence parameter estimation, matrix pencil (MP), root-multiple signal classification (Root-MUSIC), covariance matrix

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.

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Scattering center	$ {r_i}/{\text{m}} $	$ {\alpha _i} $	$ {A_i} $
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	$ (M - L)(L + 1) $	0.001817
FB-based method	$ {M^3} + (M - L){(L + 1)^2} $	0.001930
Proposed method	$ {M^3} + 4{(M - L)^2}{(L + 1)^3} $	0.002342

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Incoherence parameter estimation and multiband fusion based on the novel structure-enhanced spatial spectrum algorithm

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