SSW-2D: Some Open-Source Propagation Software Introducing Split-Step Wavelet And Wavelet-to-Wavelet Propagation Techniques

In this paper, the open-source software SSW-2D for propagation simulation is introduced. The software includes the classical split-step Fourier, as well as the more recent split- step wavelet (SSW) and wavelet-to-wavelet propagation (WWP) techniques. SSW and WWP benefit from the properties of wavelet decompositions. Therefore, they are less memory-intensive and present a lower complexity than SSF. However, the coding is more demanding. It requires additional algorithmic steps - including the computation of wavelet propagators, which asks for a fine understanding of the decompositions. This free and open-source Python software is proposed for encouraging the community to handle and improve SSW and WWP. The interaction with the computation core can be made through CSV files or with a dedicated GUI. Note that the final field is saved with respect to altitude, whereas only the wavelet decomposition of the total field is saved. This emphasizes the memory gain due to the sparse wavelet decompositions.