Learning-Based Flexible Dual-Path Iterative Framework for Interference Suppression in Automotive FMCW Radars
The rapiddevelopment of frequency-modulated continuous wave (FMCW) radar has introduced critical mutual interference challenges. Currently, compressed sensing (CS) and deep learning offer promising interference suppression capabilities, while conventional CS implementations face computational bottlenecks and hyperparam...