Abstract: The frequent occurrences of “black flight” and “interference” at airports have seriously threatened public safety, so that the demand for reliable detection and recognition technology of “low altitude, slow speed, small” (LSS) targets such as unmanned aerial vehicles (UAV) and birds has significantly increased. This paper deeply analyzes the microscopic motion characteristics of rotor or engine blade rotation and bird wing flapping, electromagnetic scattering characteristics, and macroscopic motion characteristics of LSS targets such as multi-rotor UAV, fixed-wing UAV, bird, and helicopter. A LSS target recognition technology for holographic radar is formed by comprehensively using multi-type feature such as micro-Doppler (m-D) feature, radar cross section (RCS) feature and motion feature of the target. In this paper, the validity and feasibility of the proposed method are verified and analyzed by the measured data of LSS targets collected by the holographic radar system in the field. The experimental results show that the m-D features, RCS and motion features are effective for the classification of LSS targets.