Ground Clutter Mitigation for Slow-Time MIMO Radar Using Independent Component Analysis

The detection of low, slow and small (LSS) targets, such as drones, is a developing area research in radar, wherein the presence ground clutter can be quite challenging. LSS because their unusual flying mode, easily shadowed by clutter, leading to poor radar performance. In this study, we investigated feasibility performance mitigation method combining slow-time multiple-input multiple-output (st-MIMO) waveforms independent component analysis (ICA) ground-based MIMO focusing on target detection. modeling under framework st-MIMO was first defined. Combining spatial temporal steering vector st-MIMO, universal signal model including target, noise established. compliance for conducting ICA separate analyzed. Based this, st-MIMO-ICA processing scheme proposed mitigate clutter. effectiveness verified with simulation experimental data collected from an S-band system desirable output signal-to-clutter-plus-noise ratio (SCNR). This work shed light use techniques tackle targets.