A SAR Echo Simulation Method for Ship Targets in the Sea Based on Model Segmentation and Electromagnetic Scattering Characteristics Simulation
Year: 2026
Type: article
Abstract: The simulation of synthetic aperture radar (SAR) echo signals usually relies on complex hardware equipment and a large amount of scene data, which results in high costs and low efficiency. In order to simulate SAR echo signals of ship targets in the sea quickly and accurately in complex environments at a lower cost, this paper proposes a SAR echo simulation method based on model segmentation and electromagnetic scattering characteristic simulation. This method first implements the simulation of sea models under different sea conditions based on PM wave spectrum model and Monte Carlo method, and segments them according to the requirements of simulation resolution. Then, it uses Python API in Blender to segment the ship model automatically and optimize the visible surface elements and mesh for each sub-model. Next, it uses Lua API in Feko to simulate the electromagnetic scattering characteristics of each sub-model of the sea surface and the ship target automatically, and obtains the required radar cross section (RCS) data of ship target in the sea after processing. Finally, SAR echo simulation is realized through time-domain algorithm. To further verify the simulation result, the chirp scaling (CS) algorithm is used for imaging processing. The results show that this method can realize SAR echo simulation of various ship targets under different sea conditions in a quick, accurate and cost-effective manner without the need for any hardware equipment.
Source: Remote Sensing
DOI: 10.3390/rs18091266
Authors: Feixiang Ren, Pengbo Wang, Jiaquan Wen
Institutions: Beihang University, People's Liberation Army Air Force
Language: English
Subfield: Aerospace Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: gold
Estimated APC paid: $3,258
OpenAlex ID: W7155182129