Compressive sensing (CS) is a new theory of signal acquisition and processing emerged in recent years, which can sample signals at a rate much lower than the Nyquist sampling rate and implement high precision reconstruction of the signals. At first, the theory of compressive sensing is introduced, a non-scanning laser radar imaging system based on CS is proposed. And then, the composition and workflow of the system are introduced in detail, the key technologies are analyzed. The imaging system uses a single-photon point-type detector as an ultralow light target detector to achieve the super-resolution imaging of an ultralow light target through the spatial light modulation and image reconstruction techniques. And at last, orthogonal matching pursuit (OMP) reconstruction algorithm is used to simulate and validate in MATLAB platform and the feasibility of the imaging system is proved.