合成孔径声呐成像算法之CS算法仿真研究

Synthetic Aperture Sonar Imaging Algorithm—The Study and Simulation of CS Algorithm

摘要: 距离多普勒算法是最为广泛的成像算法，但是存在两点不足：第一，当使用较长的核函数提高距离徙动精度时，运算量较大；第二，距离压缩对方位频率的依赖性难解决。Chirp Scaling算法(CSA)运用Papoulis提出的Scaling原理，通过相位相乘代替时域插值来完成随距离变化的RCMC，同时解决了距离压缩中对方位频率的依赖问题。

Abstract: Range Doppler algorithm is the most extensive imaging algorithm, but it has two shortcoming: Firstly, When you use a longer kernel function to improve the accuracy of distance migration, it will cause a lot of computation burden; secondly, the compression of distance is dependency for the frequency of azimuth. The CSA uses the principle of scaling proposed by Papoulis. It uses phase multiply to finish the RCMC which is changed by distance, instead of the time-domain interpolation. It also solves the dependence between the compression of distance and the frequency of azimuth.