MTRC compensation in high-resolution ISAR imaging via improved polar format algorithm based on ICPF

作者：Liu, Yang^*; Xu, Shiyou; Chen, Zengping; Yuan, Bin

来源：EURASIP Journal on Advances in Signal Processing, 2014, 2014(1): 179.

DOI：10.1186/1687-6180-2014-179

• MTRC compensation
• Polar format algorithm
• Performance degradation
• Integrated cubic phase function
• High-resolution ISAR imaging

In this paper, we present a detailed analysis on the performance degradation of inverse synthetic aperture radar (ISAR) imagery with the polar format algorithm (PFA) due to the inaccurate rotation center. And a novel algorithm is developed to estimate the rotation center for ISAR targets to overcome the degradation. In real ISAR scenarios, the real rotation center shift is usually not coincided with the gravity center of the high-resolution range profile (HRRP), due to the data-driven translational motion compensation. Because of the imprecise information of rotation center, PFA image yields model errors and severe blurring in the cross-range direction. To tackle this problem, an improved PFA based on integrated cubic phase ICPF) is proposed. In the method, the rotation center in the slant range is estimated firstly by ICPF, and the signal is shifted accordingly. Finally, the standard PFA algorithm can be carried out straightforwardly. With the proposed method, wide-angle ISAR imagery of non-cooperative targets can be achieved by PFA with improved focus quality. Simulation and real-data experiments confirm the effectiveness of the proposal.

• 出版日期2014-12-13
• 单位中国人民解放军国防科学技术大学