一种多子阵合成孔径声纳CS成像算法

由于方位向采样不均匀，已有的频域算法如CS算法（ChirpScaling）等不能直接应用于多子阵合成孔径声纳成像．提出了一种可用于方位向不均匀采样多子阵合成孔径声纳的CS成像算法。此方法利用多子阵合成孔径声纳系统等间隔布阵和匀速直线运动的特点，将方位向不均匀采样的傅立叶变换分解为若干均匀采样的傅立叶变换，从而可以利用FFT提高计算效率。成像结果及分析表明，此方法可以很好应用于多子阵合成孔径声纳成像，并保持了标准CS算法快速高效的特点。

A multiple-receiver synthetic aperture sonar CS imaging algorithm

Because of non-uniform sampling on azimuth direction, the standard frequency imaging algorithm like CS can＇t be directly applied to multiple-receiver synthetic aperture imaging. A multiple- receiver synthetic aperture sonar imaging CS algorithm is brought out. The algorithm makes use of two characteristics of multiple-receiver synthetic aperture system, that is, equidistant deployment of physical element arrays and uniform velocity. Based on that, the azimuth direction non-uniform Fourier transform is divided into several uniform Fourier transforms, which can use FFT. Imaging Result shows that the method can be applied to multiple-receiver synthetic aperture imaging and maintains the high computing efficiency of standard CS algorithm.