Abstract

As a low cost and highly reliable sensor in autonomous driving and driver assistance systems, automotive radars has attracted a lot of researchers and companies. Most automotive radars are based on frequency modulated continuous wave (FMCW) and multiple-input multiple-output (MIMO) techniques to achieve high range and angle resolution, respectively. Compared with time-division multiplexing (TDM), frequency division multiplexing (FDM) transmits a signal with different frequencies simultaneously and would not reduce the maximum unambiguous velocity. In this paper, we present a dual smoothing method based on the FDM-FMCW-MIMO radar. By exploiting the time and space shift-invariant structure of the FDM-FMCW-MIMO signal, the proposed method can provide range and angle super-resolution of multiple objects, while the number of detectable objects is also not limited by the number of virtual channels of MIMO radar.

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