Abstract:

Millimeter wave automotive radar (MWAR) is an important sensors in the advanced driver assistance system (ADAS) and the automatic driving system (ADS). To promote the distance resolution by the MWAR, and to reduce the snapshot number when estimating the angle of the target vehicle, this paper proposed a positioning algorithm of automotive radar based on compressive sensing. The method analyzes from the perspective of spatial domain, considering the sparse distribution among the targets in the spatial domain of the whole space in the automotive radar detection range to estimate the distance, the velocity and the angle of the target vehicles. Compared to conventional vehicle-mounted radars, matched filters cannot distinguish similar targets. The compressed-sensing radar can distinguish adjacent targets. The results show that when a snapshot number is 1, the algorithm estimates the target angle with a resolution of less than 4°. The resolution is better than that by the Music (multiple signal classification) algorith

Key words: automotive , advanced driver assistance system (ADAS) , autonomous driving system (ADS) ,  millimeter wave automotive radar (MWAR) , target positioning , compressed sensing , spatial domain