In multipath environments, signals received from radars are composed of direct target return and reflected signals from the ground or surrounding structures, which degrades the accuracy of the RCS estimation. Accurate RCS estimation is essential for target identification, threat assessment, and reliable radar operation. Although multi-snapshot-based signal processing methods have been studied extensively, their applicability is limited to single-pulse tracking radars. This study proposes a single-snapshot-based algorithm that separates the target and reflected signals using the matrix pencil method, and suppresses interference via an LCMV beamformer designed with the estimated directions of arrival. Simulation results verify that the proposed method effectively mitigates multipath effects and improves the RCS estimation performance compared to conventional array beamforming.
Oh et al. (Sun,) studied this question.