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.