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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 [2]空军工程大学信息与导航学院,陕西西安710077
出 处:《计算机仿真》2015年第8期22-26,67,共6页Computer Simulation
基 金:国家自然科学基金资助项目(61372166);国家自然科学青年科学基金资助项目(61102109)
摘 要:针对雷达微多普勒效应的弹道目标识别问题,为了提高目标识别精度,研究了弹道目标进动频率提取方法。微动频率是弹道目标识别重要特征之一,也是提取其它微动参数估计的前提。为了准确提取非理想散射点模型的弹道目标进动频率,提出建立锥形弹道目标滑动散射模型,推导了锥形弹道目标的锥顶散射点和锥底边缘散射点的微多普勒表达式,分析了目标微动对雷达回波的调制作用,采用高阶矩函数分析法精确地提取了滑动散射模型下的弹道目标进动频率,并通过仿真验证了上述方法的有效性,同时验证了改进方法具有一定的鲁棒性。In allusion to ballistic target recognition question based on radar micro - Doppler effect, ballistic target precession frequency extraction method was researched in the paper. Micro - motion frequency is not only the signifi- cant index of target recognition, but also the premise of other micro - motion parameter estimation. In this paper, in order to extract ballistic target precession frequency accurately at non - ideal scattering point model, the sliding scat- tering model of cone - shaped ballistic target was constructed, the micro - Doppler expressions of the scattering point at the conical coping and two scattering points in the conical bottom were derived, and the effects of target micro - motion on radar echo signal were analyzed. Then, the precession frequency of ballistic target based on the sliding scattering model was extracted quickly and accurately according to high - order moments functions. At last, a com- puter simulation was given to verify the effectiveness and robustness of the proposed method.
分 类 号:TN957[电子电信—信号与信息处理]
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