通过相位相关配准实现移动目标电磁参数快速高精度反演
Electromagnetic Quantitative Inversion for Translationally Moving Targets via Phase Correlation Registration of Back-Projection Images
- 用相位相关配准校正移动目标的回波图像，提升定位精度
- 相比传统方法，收敛更快、重建更清晰，抗噪能力更强
- 适合雷达反演领域研究者，尤其关注动态目标成像
针对平动运动目标，提出一种基于时分复用多输入多输出（TDM-MIMO）雷达架构的新型电磁定量反演方法。该方法首先实现目标的高精度相对定位，再通过相对运动补偿对多周期MIMO测量数据进行迭代反演，从而重构目标电磁参数。作为通用框架，本文将经典交叉相关对比源反演（CC-CSI）融入迭代优化步骤，形成新算法RMC-CC-CSI。数值与实验结果表明，尽管计算成本略有增加，但RMC-CC-CSI在收敛速度、重建保真度和抗噪性能方面均优于传统静态目标的CC-CSI。
原文摘要 · Abstract (English)
A novel electromagnetic quantitative inversion scheme for translationally moving targets via phase correlation registration of back-projection (BP) images is proposed. Based on a time division multiplexing multiple-input multiple-output (TDM-MIMO) radar architecture, the scheme first achieves high-precision relative positioning of the target, then applies relative motion compensation to perform iterative inversion on multi-cycle MIMO measurement data, thereby reconstructing the target's electromagnetic parameters. As a general framework compatible with other mainstream inversion algorithms, we exemplify our approach by incorporating the classical cross-correlated contrast source inversion (CC-CSI) into iterative optimization step of the scheme, resulting in a new algorithm termed RMC-CC-CSI. Numerical and experimental results demonstrate that RMC-CC-CSI offers accelerated convergence, enhanced reconstruction fidelity, and improved noise immunity over conventional CC-CSI for stationary targets despite increased computational cost.
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