A joint sparse signal representation perspective for target detection using bistatic MIMO radar system

The problem of detection of multiple targets using a bistatic MIMO radar system is posed as a joint sparse signal recovery problem. We explore the potential of MIMO systems to locate targets in noisy environment with limited number of time samples, while the transmitted signals are not necessarily mutually orthogonal. Explicit enforcement of a joint sparse representation is motivated by a desire to obtain a sharp estimate of the targets that exhibits robustness in noisy environment. Numerical experiments demonstrate that the proposed strategy outperforms existing algorithms.