复杂电磁环境下预警雷达智能抗主瓣干扰技术研究

针对预警雷达现有自适应抗主瓣技术在复杂多变电磁环境中的能力不足，系统级的抗干扰技术发展不充分，开展系统智能抗主瓣干扰技术研究。通过将智能科学领域的深度学习、知识推理等先进理论和技术与雷达抗干扰中的感知、决策等技术进行深度融合，提升预警雷达在复杂环境下的系统综合抗主瓣干扰能力。项目针对数据和知识联合驱动的系统智能抗干扰模型与学习进化机制、动态博弈对抗条件下复杂干扰场景多元信息的实时感知、面向雷达资源优化与配置的系统级自主抗干扰决策机制等关键科学问题，研究自主学习自进化的系统级智能抗干扰模型构建方法、复杂多变电磁干扰环境的实时动态智能感知技术、系统抗主瓣干扰智能决策与综合评估技术、系统综合抗主瓣干扰方法等方面的内容，构建智能抗干扰仿真实验系统，在预警雷达典型主瓣干扰场景下验证智能系统的综合抗主瓣干扰性能。项目实施将为智能抗主瓣干扰技术在预警雷达装备上的工程应用提供理论和技术支撑。

In view of the inadequate ability of the existing adaptive mainlobe interference suppression technology of the early warning radar in complex and variable electromagnetic environments, and the insufficient development of system-level anti-interference technology, this project will carry out the research on intelligent suppression technology for mainlobe interference. Through the deep fusion of advanced theories and technologies such as deep learning and knowledge reasoning in the field of intelligent science and radar system anti-interference perception and decision-making technologies, the comprehensive mainlobe interference suppression capability of the early warning radar system in complex environments is improved. Aiming at the key scientific issues such as the data and knowledge driven learning evolution mechanism, the real-time perception of multiple information in complex interference scenarios under dynamic game confrontation, and system-level autonomous anti-interference decision-making mechanism for radar resource optimization and allocation, this project studies self-learning and self-evolving system-level intelligent anti-jamming model construction methods, system intelligent anti-interference decision-making and comprehensive evaluation technology, real-time dynamic intelligent sensing technology for complex and variable electromagnetic interference environment, system’s mainlobe interference suppression intelligent decision-making and comprehensive evaluation technology, system integrated suppression technology for mainlobe interference, etc. An experimental system for the intelligent suppression technology of mainlobe interference will be constructed and the comprehensive mainlobe interference suppression performance of the intelligent system will be verified under the typical mainlobe interference scenario of the early warning radar. The implementation of the project will provide theoretical and technical support for the engineering application of intelligent suppression technology for mainlobe interference in early warning radar equipment.