A Novel MIMO Radar Waveform Design Method for Multi-Target ISAR Imaging

Inverse synthetic aperture radar (ISAR) is an advanced imaging sensor that can image moving air targets. Unlike mono-target imaging, due to the different motion parameters of multi-target, traditional ISAR imaging methods can’t complete motion compensation for all targets simultaneously, which causes difficulties in their use for further applications. This paper proposes a novel MIMO radar waveform design method for multi-target imaging. Based on frequency spectrum matching, a waveform optimization model for multi-target imaging with constant modulus constraint is established, and is solved by an iterative optimization algorithm based on alternating projection methods. Simulation data are provided to illustrate the effectiveness of the proposed approach.