Three-dimensional Interferometric Imaging and Micro-motion Feature Extraction of Rotating Space Targets Based on Narrowband Radar
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摘要:
该文根据干涉式逆合成孔径雷达(InISAR)中多天线干涉处理的思想，提出一种基于L型3天线模型的空间旋转目标3维成像与3维微动特征提取方法。将微多普勒效应理论与多天线干涉处理技术相结合，在时频面上通过Viterbi算法分离散射点并进行干涉处理获取目标在各时刻沿基线方向的2维投影坐标；根据目标微动特性，采用非迭代椭圆拟合方法重构出散射点的高度维信息，实现目标的真实3维成像，并在成像过程中提取目标的3维微动特征参数。仿真实验验证了所提方法的有效性与鲁棒性。
Abstract:Inspired by the idea of multi-antenna interferometric processing in Interferometric Inverse Synthetic Aperture Radar (InISAR), by utilizing an L-shaped three-antenna imaging model, a Three-Dimensional (3-D) interferometric imaging and micro-motion feature extraction method for rotating space targets is proposed. Based on the integration of micro-Doppler (m-D) effect theory and multi-antenna interferometry processing technology, the m-D curves corresponding to different scatterers are obtained on the time-frequency plane and separated via Viterbi algorithm effectively, and then the projected coordinates of scatterers along the direction of baselines are reconstructed by interferometric processing. The height information of scatterers is solved by ellipse fitting, and 3-D imaging for the rotating space target is realized. Meanwhile, some 3-D micro-motion features are exactly extracted during imaging. Simulation results validate the effectiveness and the robustness of the method.
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表 1 3维微动特征提取结果与估计误差
参数 ${M_{a1}}$ (Hz) ${M_{a2}}$ (Hz) ${\varOmega _r}$ (rad/s) ${r_1}$ (m) ${r_2}$ (m) ${{{ω}}_r}$ (rad/s) 理论值 546.3059 182.1020 10.8828 3.6742 1.5000 [6.6908, –8.5830, –0.0121] 估计值 546.2000 182.4000 10.8900 3.6786 1.4166 [6.6980, –8.5774, –0.0151] 绝对误差 0.1059 0.2980 0.0072 0.0044 0.0834 0.0287 
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