The traditional imaging algorithm of multireceiver synthetic aperture sonar (SAS) based on Loffeld’s bistatic formula (LBF) suffers from a tradeoff between focusing performance and efficiency due to the spatial variance of LBF. To improve the performance and efficiency, we develop a chirp scaling (CS) algorithm based on the reformulated LBF, which includes the range-variant and range-invariant terms. The phase error caused by LBF reformulation and range-invariant term is first compensated. Since the range-variant term used for the design of the CS algorithm is weighted by a factor, all filter functions of CS algorithm are newly deduced. Based on these improvements, the subblock width is allowed to be enlarged. Consequently, both the efficiency and performance are improved. Numerical results show that the ghost suppression performance of our method is improved nearly 10 dB compared to the traditional method. Besides, our method is more time-saving than the traditional method.

中文翻译：

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基于LBF的多接收器SAS CS算法

基于洛菲尔德双基地公式(LBF)的传统多接收机合成孔径声纳(SAS)成像算法由于LBF的空间方差而面临聚焦性能和效率之间的权衡。为了提高性能和效率，我们开发了一种基于重新表述的LBF的线性调频缩放（CS）算法，其中包括范围变化和范围不变项。首先补偿由 LBF 重构和范围不变项引起的相位误差。由于CS算法设计中使用的极差项是通过一个因子进行加权的，所以CS算法的所有滤波器函数都是新推导的。基于这些改进，允许扩大子块宽度。因此，效率和性能均得到提高。数值结果表明，与传统方法相比，我们的方法的重影抑制性能提高了近10 dB。此外，我们的方法比传统方法更节省时间。