基于子带补偿的弹载聚束SAR成像算法
发布时间：2019-03-28 08:39
【摘要】：弹载SAR成像常用非线性变标类算法改善聚焦效果.然而,非线性变标算法由于自身的局限性,在三维匀加速聚束SAR成像模式中非常容易失效.针对这一问题,本文提出了一种子带补偿法,并将该方法结合到弹载SAR聚束成像算法中.新算法不引入三次相位操作,可有效补偿随目标位置走动的多普勒调频率.仿真结果和分析表明,与常用的非线性变标类算法相比,本文所提算法在运算量、成像结果、适用性上都具有优越性,具有一定的工程应用价值和理论意义.
[Abstract]:Nonlinear scaling algorithms are commonly used in missile-borne SAR imaging to improve the focusing effect. However, because of its own limitations, the nonlinear scaling algorithm is easy to fail in the 3-D uniformly accelerated bunching SAR imaging mode. In order to solve this problem, a sub-band compensation method is proposed in this paper, which is combined with the missile-borne SAR bunching imaging algorithm. The new algorithm does not introduce the cubic phase operation, which can effectively compensate the Doppler modulation frequency moving with the target position. The simulation results and analysis show that the proposed algorithm has advantages in computation, imaging results and applicability, and has certain engineering application value and theoretical significance compared with the commonly used nonlinear scaling algorithms.
【作者单位】： 南京理工大学 电子工程与光电技术学院;东南大学 毫米波国家重点实验室;
【分类号】：TN957.52
[Abstract]:Nonlinear scaling algorithms are commonly used in missile-borne SAR imaging to improve the focusing effect. However, because of its own limitations, the nonlinear scaling algorithm is easy to fail in the 3-D uniformly accelerated bunching SAR imaging mode. In order to solve this problem, a sub-band compensation method is proposed in this paper, which is combined with the missile-borne SAR bunching imaging algorithm. The new algorithm does not introduce the cubic phase operation, which can effectively compensate the Doppler modulation frequency moving with the target position. The simulation results and analysis show that the proposed algorithm has advantages in computation, imaging results and applicability, and has certain engineering application value and theoretical significance compared with the commonly used nonlinear scaling algorithms.
【作者单位】： 南京理工大学 电子工程与光电技术学院;东南大学 毫米波国家重点实验室;
【分类号】：TN957.52
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