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机构地区:[1]空军工程大学防空反导学院,陕西西安710051
出 处:《计算机仿真》2017年第9期15-19,共5页Computer Simulation
基 金:国家自然科学基金(61372166)
摘 要:弹道目标微动参数的提取可以为真假弹头的识别提供一定的依据。针对单一雷达视角获取弹道目标参数的局限性,提出了一种基于T/R-R双基地雷达的弹道导弹目标进动特征提取的新方法。利用ESPRIT超分辨算法提取T/R站和R站观测得到的各散射中心在不同时刻的一维距离像值,通过分析各散射中心径向距离之间的关系,实现了散射中心的区分。在此基础上,将T/R站雷达和R站雷达获得的散射中心D的微动信息构建方程组,求解出了进动角和部分结构参数,并根据锥底散射中心的微动信息求解出了底面半径。仿真结果验证了选用方法的有效性与准确性。Extracting the micro-motion parameters of missile targets can offer some reference to the recognition of true and false missile. Aiming at the limited ability of extracting targets parameters with single aspect, a novel algo- rithm about precession feature extraction of ballistic targets is proposed based on T/R-R bistatic radar. On the basis of ESPRIT super-resolution algorithm, we extracted each scattering centers' ranges at different time to obtain range value, the scattering centers distinguishing was implemented based on the analysis of relationship among scattering centers ranges. Then, equations were established based on scattering center D's observation inf~/rmation from T/R radar and R radar. The precession and structural parameters of cone-shaped object were solved by equations and mi- cro-motion information of scattering centers in the conical bottom. Simulation results are given for validating the pro- posed algorithms.
分 类 号:TN957[电子电信—信号与信息处理]
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