Adjustable Transmitter Spacing for MIMO Radar Imaging With Compressed Sensing

Multiple-input multiple-output radar systems can offer improved performance over traditional single-input multiple-output systems, such as in radar imaging. Performance greatly depends on the recovery method used. For sparse targets, compressed sensing (CS) is used as it is well-suited as a target recovery method. Performance of CS is dependent on the sensing matrix, which includes the transmit sequence and antenna configuration. In this paper, we propose adaptively varying the transmit spacing in order to seek an optimal sensing matrix. Numerical results show the proposed method has potential to significantly improve image recovery under a variety of system conditions while using the same number of antennas.