Random Multiplexing for an MIMO-OFDM Radar With Compressed Sensing-Based Reconstruction

In many applications, the direction of arrival information of the radar signal plays a decisive role in target localization. A multiple-input multiple-output (MIMO) radar allows to obtain the position of an object in space within one measurement frame. Recent research and publications verify the high potential of digital radar principles such as orthogonal frequency-division multiplexing (OFDM). In this letter, a MIMO-OFDM approach based on random frequency- and time-division multiplexing is presented. It is enhanced by a multidimensional compressed sensing method that utilizes the information of multiple channels. The approach is validated and compared to other MIMO-OFDM approaches using measurements of an experimental radar at 72.5 GHz.