时域校正距离走动的CS成像算法

The Chirp Scaling imaging Algorithm with Range  Walk Correction in time domain

  • 摘要: 在许多应用场合,特别是弹载平台的大斜视角SAR成像,对算法的实时性和复杂性要求很高。本文提出一种改进的CS成像算法,该算法首先在时域校正距离走动以减少二维耦合量,然后采用CS算法校正距离徙动的其他部分。算法只需要经简单的相位相乘即可完成距离徙动校正的功能,且计算量适中。本文对该算法做了详细的推导和分析,并用仿真实验验证了大斜视角下算法的有效性。最后分析了不同斜视角下的SAR图像质量,结果表明较大斜视角下像点依然保持良好峰值旁瓣比和积分旁瓣比,但实际分辨率将下降。

     

    Abstract: On many application occasions, especially on Missile-borne platform, the SAR imaging in great squint angle mode is very demanding of the simultaneousness and complexity of the algorithm. An advanced CS imaging algorithm is presented in this paper which corrects the range walk in time domain to reduce the two dimensional coupling and then corrects other parts of the range cell migration and implements focusing. The algorithm can fulfill the function of range cell migration after simple phase multiplying, with appropriate arithmetic quantum. This thesis analyzes the whole process of the algorithm in detail, and verifies the validity of this method by the simulation experiments. At last, the qualities of the SAR images in different squint angles are analyzed, and the result show that scatters in relatively greater squint angles maintain good the peak side lobe ratio (PSLR) and the integrated side lobe ratio (ISLR), but the practical resolving capability will be reduced.

     

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