Extended SAR Scene Simulator Optimized by Grey Wolf Algorithm

A potential metaheuristic solution, which is characterized by a smaller population size, enhanced global optimization capabilities, and fewer control parameters, is the grey wolf optimization (GWO) algorithm. Its compact design enables the application of this algorithm in real-time, resource-constrained problems, paving the way for new, simplified architectures. This article, for the first time, introduces the application of the GWO algorithm to the Synthetic Aperture Radar (SAR) scene simulator and echo signal generation procedure to confirm its efficacy. The outcomes confirm the merits of the proposed method in simplifying the simulator design and achieving high-performance architecture. The proposed method can be interpreted as a compromise among previously reported methods in terms of accuracy and efficiency.

کلیدواژه ها:

grey wolf optimization (GWO) algorithm ، resource-constrained problems ، SAR scene simulator