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

doi:10.23919/JSEE.2023.000155

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, doi: 10.23919/JSEE.2023.000155.

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