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作 者:宁立跃 胡仕友[1] Ning Liyue;Hu Shiyou(Beijing Huahang Radio Survey Research Institute,Beijing 100013,China)
出 处:《战术导弹技术》2020年第4期119-124,共6页Tactical Missile Technology
摘 要:面向愈加复杂的战场态势和导弹精打干扰对抗形势,人工智能技术正加快赋能导弹装备,但以机器学习为代表的智能技术具有数据驱动、可解释性弱等特点,对于任务关键、安全关键的导弹武器来说,如何有效评估导弹智能感知抗干扰性能并清晰界定装备适用范围是亟待解决的问题。从导弹导引头智能感知面临的特殊问题和完成的任务出发,阐述导弹智能感知抗干扰的基本实现思路和方法,分析智能感知抗干扰性能评估面临的挑战,最后给出导弹导引头智能感知抗干扰评估的展望和建议。Facing the increasingly complex battlefield and anti-interference situation of missile,the artificial intelligence technology is speeding up to enable missile equipment,but the artificial intelligence technology represented by machine learning has the characteristics of data-driven and weak interpretability.Missile is the mission-critical and safety-critical weapon,and there are urgent problems that how to evaluate the missile intellisense anti-jamming performance effectively and define the applicable scope clearly.According to the special problems and the tasks of missile seeker intellisense,the basic implementation ideas and methods of missile intellisense anti-jamming are expounded,and the challenges of intellisense anti-jamming performance evaluation are analyzed.Finally the prospect and suggestions of missile seeker intellisense anti-jamming evaluation are given.
关 键 词:导弹导引头 人工智能 智能感知 抗干扰 性能评估
分 类 号:TN973.3[电子电信—信号与信息处理]
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