Reliable Clutter Suppression for Slow-Moving Weak Target Radar Detection

In the context of integrated sensing and communication (ISAC), reliable and efficient slow-moving weak target detection in complicated environments is appealing but challenging due to the masking effects from the surrounding strong reflectors. The traditional Moving Target Indication (MTI) may suppress the echoes from not only the static interference objects (IOs), but also the desired slow-moving weak target. According to the low-rank and sparse properties of the range-velocity (R-V) maps across different radar scans, a novel clutter suppression scheme based on the Go decomposition (Godec) framework is proposed in this paper. The numerical results show that with the existence of masking effects, the target detection scheme based on Godec clutter suppression can reliably and efficiently detect the slow-moving weak target, compared to the traditional MTI-based scheme. Additionally, a U-shaped relationship between the sparsity constraint of Godec and the number of the false alarm cells has been revealed, guiding parameter settings of the proposed solution in practical ISAC applications.