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基于多视角距离像的空间旋转目标三维重构 被引量:1

Space Rotating Targets Three-Dimensional Reconstruction Based on Multi-aspect Range Profile
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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。 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 ob- tained by using the curve information, and the spatial reconstruction of the rotation targets is realized. Simulation results vali- date the veracity and effectiveness of the algorithm in this paper.
出处 《微波学报》 CSCD 北大核心 2018年第1期16-20,共5页 Journal of Microwaves
基金 国家自然科学基金(61372166)
关键词 旋转目标 多视角 散射点匹配 Viterbi-Clean算法 三维重构 rotating targets, multi-view, scattering point match, Viterbi-Clean algorithm ,3-D reconstruction
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