Achieving Higher Resolution ISAR Imaging With Limited Pulses via Compressed Sampling

作者：Zhang, Lei^*; Xing, Mengdao; Qiu, Cheng-Wei; Li, Jun; Bao, Zheng

来源：IEEE Geoscience and Remote Sensing Letters, 2009, 6(3): 567-571.

DOI：10.1109/LGRS.2009.2021584

• Compressed sampling (CS)
• high resolution
• inverse synthetic aperture radar (ISAR)
• sparse signal reconstruction

Recent theory of compressed sampling (CS) suggests that exact recovery of an unknown sparse signal with overwhelming probability can be achieved from very limited number of samples. In this letter, we adapt this idea and present a framework of high-resolution inverse synthetic aperture radar imaging with limited measured data. During the framework, we mathematically convert the imaging into a problem of signal reconstruction with orthogonal basis; hence, a conceptive upper bound of the cross-range resolution is presented based on the CS theory. Real data results show that the CS imaging approach outperforms the conventional range-Doppler one in resolution.

• 出版日期2009-7
• 单位西安电子科技大学