Automotive radars have become an important part of sensing systems in vehicles and other traffic applications due to their accuracy, compact design, robustness under severe light weather conditions. The increased use various has given rise the problem mutual interference, which needs be mitigated. In this paper, we investigate interference mitigation chirp sequence (CS) automotive via signal re...

The adaptive digital beamforming technique in the space-polarization domain suppresses interference with forming coupling nulls of space and polarization domain. When there is mainlobe, it will cause serious mainlobe distortion, that target detection suffers from. To overcome this problem make radar cope complex multiple interferences scenarios, we propose a and/or sidelobe suppression method f...

Complex ADMM-Net, a complex-valued neural network architecture inspired by the alternating direction method of multipliers (ADMM), is designed for interference removal in super-resolution stepped frequency radar angle-range-doppler imaging. Tailored to an uncooperative scenario wherein MIMO shares spectrum with communications, ADMM-Net recovers image---which assumed be sparse---and simultaneous...

A novel matrix pencil-based interference mitigation approach for FMCW radars is proposed in this paper. The interference-contaminated segment of the beat signal firstly cut out and then samples cut-out region are reconstructed by modeling as a sum complex exponentials using pencil method to estimate their parameters. efficiency with different parameters (i.e. duration, signal-to-noise ratio (SN...