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Incoherence parameter estimation and multiband fusion based on the novel structure-enhanced spatial spectrum algorithm
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作者 JIANG Libing ZHENG Shuyu +2 位作者 YANG Qingwei ZHANG Xiaokuan WANG Zhuang 《Journal of Systems Engineering and Electronics》 2025年第4期867-879,共13页
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 fu... 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. 展开更多
关键词 multiband fusion incoherence parameter estimation matrix pencil(MP) root-multiple signal classification(Root-MUSIC) covariance matrix.
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