Electromagnetic scattering data is essential for the recognition of targets. However， due to issues such as high cost and poor repeatability of experimental measurements， the quantity of measured electromagnetic scattering data of targets is very limited. A dynamic electromagnetic scattering data simulation method for air targets was studied based on the N-point model with hidden points removed and electromagnetic calculation data interpolation. Additionally， a dynamic electromagnetic scattering data simulation system for air targets was designed. This system integrated electromagnetic scattering simulation with actual flight scenes and supported scene definition and expansion of 3D models for air targets. Simulation data and imaging results of aircraft and cruise missiles were analyzed. The results show that the simulation method is correct， and the system is effective. The system can support the research on the recognition of air targets in actual scenes.

Training， testing， and evaluating radar intelligent recognition （RIR） methods usually require the construction of large datasets. Acquiring effective datasets efficiently is an urgent issue to be solved. The application scenarios of the RIR system for aerospace targets were analyzed first， and the construction idea of the RIR simulation system （RIRSS） for aerospace targets was given according to application demands. Then， the modular and component-based design methods were utilized to design the RIRSS framework for aerospace targets， and an intelligent recognition simulation system for aerospace targets was constructed， which could simulate the electromagnetic characteristics and dynamic echo of aerospace targets quickly and efficiently， with a scalable and reconfigurable capability. Simulation results and preliminary application show that this system can be used in the test and evaluation of the RIR method for aerospace targets in various scenarios.