In field in-situ testing of airborne electronic countermeasure equipment, the positioning process of test points suffers from low efficiency and high time consumption. This paper proposes an automatic test point positioning method based on airframe point cloud features. Using the aircraft landing gear as a key reference, this method requires only a one-time acquisition of the test point’s position in the airframe coordinate system, which can then be combined with LiDAR point cloud data to achieve automatic test point positioning at any location. This process involves key steps such as point cloud mapping and cropping, coordinate transformation between the airframe and the LiDAR, and transformation matrix solving. The paper conducts measurement experiments on actual aircraft equipment in an outdoor environment. The results show that the absolute error between the measured positions and the actual values is less than 10 cm, with a relative error not exceeding 1%, demonstrating high reliability and feasibility. This advancement can promote the development of equipment testing technology toward unmanned and intelligent operations.