基于随机霍夫变换的干涉ISAR横向定标算法
doi: 10.3724/SP.J.1146.2011.01162
A Novel Method of Cross-range Scaling Interferometric ISAR Based on Randomized Hough Transform
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摘要: 针对ISAR像的横向定标、干涉ISAR(InISAR)中相位缠绕问题,该文提出一种基于随机霍夫变换(Randomized Hough Transform, RHT)的InISAR横向定标算法。该算法基于ISAR像中的特显点,由特显点的干涉相位主值得到的横向距离与多普勒频率的线性关系,利用RHT估计真实横向距离与多普勒频率之间的尺度因子,对ISAR像横向定标,从而避免了繁琐的相位解缠绕过程。仿真结果表明该算法可以实现对ISAR像的定标,并具有一定的抗噪声性能。
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关键词:
- 干涉ISAR /
- 随机霍夫变换(RHT) /
- 相位缠绕 /
- 尺度因子 /
- 横向定标
Abstract: Considering the phase wrapping issue in the cross-range scaling of interferometric ISAR, a novel algorithm of cross-range scaling is proposed based on Randomized Hough Transform (RHT). Using the linear relationship between the azimuth positions derived from the wrapping interferometric phases and the Doppler frequencies of the dominant scatters in ISAR image, the proposed algorithm estimates the scale factor between true azimuth position and Doppler frequency by RHT and determines the ISAR image scale in the cross-range direction, consequently avoiding the complex phase unwrapping procedure. The simulation results verify the validity and anti-noise capability of the proposed algorithm.
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