利用SPECAN算法的聚束SAR成像处理

Imaging of Spotlight Synthetic Aperture Radar by Applying SPECAN Approach

  • 摘要: 讨论了距离向去调频聚束模式SAR信号的回波模型及特点,通过对聚束SAR信号的时、频域关系的分析,给出了适合去调频后的聚束SAR数据的成像算法。该算法结合了SPECAN算法高效和标准条带成像算法精确的优点,首先采用SPECAN算法对原始数据距离向去斜,其次采用距离-多普勒算法实现方位精确聚焦,与传统的距离-多普勒算法相比,成倍地降低处理的数据量,从而可实现聚束SAR的实时成像处理。对Ku波段实际飞行数据采用该算法压缩得到高分辨率的图像,验证了理论分析的正确性和所用方法的可行性。

     

    Abstract: This article discusses the character of range-dechirped spotlight SAR signal, analyzes the time and frequency domain character of dechirp SAR signal, presents imaging method of spotlight range-dechirped raw data.The new algorithm combines the advantages of two processing approaches:the efficiency of SPECAN algorithm and the precision of stripmap focusing technique, the first step of the proposed algorithm implements deramp technique representing a simplified version of the SPECAN approach, the second processing carries out the residual focusing via the use of a conventional stripmap processing procedure,in comparison with the range doppler method,this algorithm decreases the processed data with a little amount of calculation increased.The Ku band airborne spotlight SAR imaging experiment confirms its availability.

     

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