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中文摘要：
针对传统DPC近似引入的近距离目标散焦问题,提出了一种有效的多子阵合成孔径声纳(SAS)CS成像算法.首先,通过泰勒级数展开并保留其高阶项,将多子阵SAS双根号形式的距离历程等效为类收发合置项与收发分置畸变项之和,并由此推导出严格解析的点目标二维谱;然后,利用多子阵数据融合的方法对收发分置畸变项进行补偿,将多子阵合成孔径声纳信号转化为单阵收发合置的形式;最后,利用单阵收发合置CS算法实现了图像重建.仿真试验和实测数据的成像试验证明了算法的有效性.
英文摘要：
To solve the defocusing problem introduced by conventional displacement phase center (DPC) approximation in focusing close range point target data ,an effective chirp-scaling (CS) ima-ging algorithm was proposed for multiple-receiver synthetic aperture sonar (SAS) .In this study ,the double-square-root (DSR) term in range history was equivalent into the sum of a quasi-monostatic term and a bistatic deformation term via Taylor series expansion and remaining higher order terms . Based on this ,an analytical point target two-dimensional (2-D) spectrum was derived .Using the method of multiple-receiver data fusion ,the bistatic deformation term was removed .Thus ,the multi-ple-receiver SAS data was transferred the form of conventional monostatic SAS signal which could be well focused by the conventional monostatic CS algorithm .The results of simulation and real data im-aging experiment confirmed the effectiveness of the proposed algorithm .
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A quality-guided and local minimum discontinuity based phase unwrapping algorithm for InSAR/InSAS In
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