Blind Adaptive Beamforming for Automotive Radar Interference Suppression

Abstract

Radar sensors offer enormous advantages as sensing devices for automated and autonomous driving. However, when multiple of such sensors are operated in a large number of cars, there is a high risk of the occurrence of mutual interferences. In the currently widespread linearly frequency modulated sensors these interferences reduce the detection performance, especially for targets with a low radar cross section. In this paper the interference effects are suppressed with an adaptive beamforming scheme based on a mean square error minimization. The paper evaluates the algorithm with the help of a simulated and measured scenario, and discusses the occurring interference effects and the benefits of the beamforming approach.

Mutual Interference of Automotive OFDM Radars—Analysis and Countermeasures

“…For chirp-sequence radars a non-interfered segment of the time-domain Rx signal suits as the reference [32]. Due to the wideband and time-continuous interference and symbol-wise CP-OFDM structure with unique phase codes, this concept is not applicable for OFDM radars.…”