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期刊论文
Cross-range scaling for ISAR imaging within short CPI and low SNR
Xi'an Dianzi Keji Daxue Xuebao/Journal of Xidian University,2014,41(6):12-17, | 2014年12月01日 | 10.3969/j.issn.1001-2400.2014.06.003
This paper proposes a new algorithm for solving cross-range scaling for the inverse synthetic aperture radar (ISAR) imaging during a short Coherent Processing Interval (CPI) under a low Signal Noise Ratio (SNR). Based on the sparsity characteristic of the ISAR image, a Weighted Compressive Sensing (WCS) procedure is applied to generate high-resolution images, which can encourage signal components while suppressing noise. Then on the basis of the characteristics of 2-D Fourier transform (2-D FFT) and polar mapping, the Rotation Angle Velocity (RAV) initial estimation is realized by the correlation between two polar images. Finally, the maximum correlation position is found by using WCS, improving the estimation precision and efficiency of RAV. The rescaled ISAR image can be implemented. Both simulated and real-measured data confirm the feasibility and effectiveness of the proposed algorithm.
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