Abstract:  For the purpose of obtaining high-resolution image of ground target with high speed, this paper proposes a technical approach based on the theory of compressive sensing (CS) and cooperative communication. Firstly, on the basis of analyzing the theory of compressive sensing and the imaging algorithm of cooperative MIMO radar, we propose the sparse representation models of the baseband echo under matched filtering and the base function used for signal reconstruction. Then, a cooperative MIMO radar system model based on compressing-and-forward scheme is established. The system mainly consists of a radar with transmitting and receiving antenna, forwarding nodes and a compressed sensing imaging center. Forwarding nodes receive and forward the echoes of cooperative MIMO radar using the analog-to-information conversion (AIC) measure framework. Finally, the orthogonal matching pursuit (OMP) reconstruction algorithm for range compression and azimuth compression is studied, and fast, high-resolution imaging is implemented. Simulation results show that compared to the traditional MIMO radar, the proposed method requires low transmitting load of the forwarding nodes and can imaging with high speed and low sidelobe.