Multiview MIMO Radar Forward-Looking Imaging Under Impulsive Noise via Low-Rank and Adaptive Pattern-Coupled Variational Bayesian Learning (opens in new tab)

Conventional radar forward-looking imaging methods often suffer from degraded performance due to limited angular diversity and strong noise interference. To address these challenges, this article proposes a multiview multiple-input multiple-output (MIMO) radar imaging model that incorporates radar cross-section (RCS) fluctuations and leverages low-rank approximation (LRA) to optimize the radiation field reference matrix. This method can effectively mitigate matrix ill-conditioning, thereby en...