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.

Miniature air launched decoys （MALD） can trick ground air defense radar into turning on and consume air defense ammunition， significantly reducing the effectiveness of air defense operations and improving aircraft formation penetration capability. After summarizing the development of MALDs， this paper analyzes the target characteristics of MALD and constructs typical operational scenarios. The influence of MALD on the detection and tracking performance and the interception efficiency of guidance radar is analyzed. The influence of long-range deception and closed jamming on guidance radar by MALD are studied through theoretical analysis and dynamic simulation. The influences of several factors on aircraft formation penetration efficiency are investigated based on queuing theory. The research conclusion can provide a theoretical reference for MALD operation.

Integrated air and missile defense battle command system（IBCS）is not only the core system to support the force transformation and operation-concept development of U.S. Air Defense Artillery（ADA）， but also an important platform for deep integration of multi-domain and multi-type air & missile defense combat elements. The base-line version of IBCS began to deliver ADA in 2022. Based on the previous general research， the system component， equipment function， association relationship and troop configuration of IBCS are analyzed. It is pointed out that the new disposition capability of engagement operations center（EOC）is "one-type equipment， multi-level command hierarchy adaptation； one set of software， multi-role and function configuration". Based on the type configuration analysis of EOC， the operational mode and characteristics of IBCS are discussed. The inspiration and suggestion are put forward based on the above research.

Hypersonic vehicle is a new concept vehicle developed by many countries in recent years.Aiming at the problem that it is difficult to track its flight trajectory with high precision,combined with the strong adaptive and self-learning ability of neural network,an online feedback filtering algorithm for hypersonic vehicle is proposed.Based on the current statistical model,BP neural network and Kalman filter are used to design the filter to realize the high-precision tracking of hypersonic vehicle.Finally,the simulation results show that the online feedback filtering algorithm is effective in tracking hypersonic vehicle.