A Parameterized Generalized Radon-Fourier Transform-Based Method for Asteroid Detection Using Ground-Based Radar

The Generalized Radon-Fourier Transform is a powerful algorithm designed to integrate echo energy within complex motion models. Traditionally, the approach has been to convert the echo energy integration challenge into a parameterized model matching problem, typically using polynomial models. However, when dealing with the intricate motion of asteroids, polynomial models can lead to issues related to high computational order and significant complexity. To address these challenges, this paper introduces an innovative method that employs orbital elements as a parameterized model, effectively lowering the matching order and simplifying computational demands. Simulation results demonstrate a marked improvement in integration outcomes when compared to traditional polynomial models.