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传统的ISAR成像基于理想散射点模型 ,实际情况中的非理想散射点因素会导致成像质量劣化 .本文提出采用基于松弛 (RELAX)思想的精确自适应高斯基表示方法 (AGR)在时频域对信号进行分解 ,清除掉非理想散射点成分以提高成像质量 .实测数据的成像结果表明了本方法的可行性和新算法的有效性 .
The traditional ISAR imaging is based on the ideal scattering point model, and the non-ideal scatter point factor in actual situation will lead to the degradation of the image quality.In this paper, we propose an adaptive Gaussian representation method based on RELAX (RELAX) The signal is decomposed and the non-ideal scattering point components are removed to improve the imaging quality.The imaging results of the measured data show the feasibility of the method and the effectiveness of the new algorithm.