基于多视角距离像的空间旋转目标三维重构
Space Rotating Targets Three-Dimensional Reconstruction Based on Multi-aspect Range Profile
  
DOI:
中文关键词:  旋转目标,多视角,散射点匹配,Viterbi-Clean 算法,三维重构
英文关键词:rotating targets,multi-view,scattering point match,Viterbi-Clean algorithm,3-D reconstruction
基金项目:国家自然科学基金(61372166)
作者单位
许 丹1,2,冯存前1,张 蓉3,田 波1,王光明1 1. 空军工程大学防空反导学院,西安 710051
2. 中国人民解放军32147 部队,宝鸡 721000
3. 空军军械通用装备军事代表局,北京 100166 
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中文摘要:
      针对单一视角难以实现空间旋转目标三维重构的问题,提出一种利用宽带雷达多视角信息实现空间位置重构的方法。首先,对旋转目标和雷达网建模,分析得出旋转散射点微距离呈现正弦变化规律。然后,采用Viterbi-Clean 算法对回波距离像进行曲线分离,再利用广义Hough 变换提取曲线的幅值、基线和初相,实现散射点的关联。最后,根据曲线信息,利用公式求出了旋转矢量和旋转轴的方向,实现了旋转目标空间位置重构。仿真实验验证了该方法的有效性和适用性。
英文摘要:
      Aiming at the problem that the signal aspect has difficulty to achieve 3-D reconstruction of space rotating targets, a novel 3-D reconstruction method is proposed based on wideband multi-view information. First, rotating target model and radar network are established. The analytical model leads to rotating scattering point micro-distance presented with sinusoidal law. Second, Viterbi-Clean algorithm is used to separate curves from echo range profile. Then, generalized Hough transform is used to extract the amplitude of curves, the baseline of curves and the initial phase of curves. Through the above analysis, scattering points are matched and identified. Ultimately, the rotation vector and the rotation axis direction are obtained by using the curve information, and the spatial reconstruction of the rotation targets is realized. Simulation results validate the veracity and effectiveness of the algorithm in this paper.
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