Modified motion parameter estimation for space object imaging

Abstract

Aiming at the engineering background of inverse synthetic aperture radar (ISAR) imaging for hypervelocity space object, the problem of motion parameter estimation is put forward for radial velocity compensation. Based on sparse component analysis, an algorithm named BP (base pursuit) is proposed to resolve the problem in noise-free environment. For the noise suppression, a modified algorithm based on parameter regularization is introduced in this paper. Simulation results show that this method behaves well in signal de-noising and could get accurate estimation for motion parameter from signals corrupted by noise..