摘要
弹头目标识别是弹道导弹防御系统中最为关键的技术之一。将多输入多输出(MIMO)雷达技术和微多普勒特征分析技术引入弹道中段目标识别,可有效克服弹头隐身技术和有源干扰技术等对识别带来的困难,提高识别精度。建立了MIMO雷达中弹头目标的微动模型,给出了弹头自旋、锥旋和进动引起的微多普勒效应的参数化表达,并通过对仿真回波数据进行时频分析验证了理论分析的正确性,为弹头目标的准确识别提供了新的理论依据。
Auto ballistic missile recognition is one of key techniques in ballistic missile defense sys- tem. The multi-input multi-output （MIMO） radar technique and micro-Doppler signature analysis are in- troduced for ballistic missile recognition, which can overcome the difficulties caused by stealthy technique and active jamming. The micro-motion model of ballistic missile in MIMO radar is constructed, and the parameterized expressions of micro-Doppler effects induced by spinning, coning and precession are pro- posed. The accuracy of analyses is validated by simulated data.
出处
《现代防御技术》
北大核心
2012年第4期42-46,共5页
Modern Defence Technology
基金
国家自然科学青年基金项目(61102109)
国家自然科学基金项目(60971100)
陕西省自然科学基金(2010JQ8007)
