A new algorithm for sparse aperture interpolation

作者：Wang Qi^*; Wu Renbiao; Xing Mengdao; Bao Zheng

来源：IEEE Geoscience and Remote Sensing Letters, 2007, 4(3): 480-484.

DOI：10.1109/LGRS.2007.897394

• Estimating Signal Parameter via Rotational Invariance Techniques (ESPRIT)
• extrapolation
• inverse SAR (ISAR)
• sparse aperture
• synthetic aperture radar (SAR)

A new algorithm for filling sparse aperture synthetic aperture radar (SAR)/inverse SAR (ISAR) data, which applies for widely gapped apertures, is proposed in this letter. An Estimating Signal Parameter via Rotational Invariance Techniques (ESPRIT)-based parametric approach is first used to estimate the power distribution with the sparse data. With the estimated power spectrum as prior information, by minimizing a weighted norm as a constraint, the full aperture data can be estimated. Although the algorithm is proposed for the sparse aperture interpolation in SAR/ISAR, it can be applied to other gapped data spectral estimation problems as well. Both numerical and experimental examples are provided to demonstrate the performance of the proposed algorithm.

• 出版日期2007-7
• 单位西安电子科技大学; 中国民航大学