| 引用本文： |
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刘永龙,邹旺,葛富超,等.基于多站协同显著路径筛选的多径利用雷达遮蔽目标成像方法[J].电讯技术，2026，66（3）： - . [点击复制]
- LIU Yonglong,ZOU Wang,GE Fuchao,et al.Multipath Exploitation Radar Imaging Method for Shadowed Targets Based on Multi-station Cooperative Dominant Path Screening[J].，2026，66（3）： - . [点击复制]
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| 摘要: |
| 目前，非视距目标成像方法通常根据所有传播路径对多径回波盲处理映射成像，多路径混叠导致图像中目标周围出现大量“鬼影”。针对此问题，提出了一种基于显著路径筛选与多站协同的单通道超宽带雷达非视距目标成像方法。首先，基于L型建筑场景建立了多径传播模型，分析了不同站点条件下现有盲处理成像方法中“鬼影”的分布变化，说明了利用多站融合以改善成像质量的可行性。在此基础上，从信号层面和图像层面处理“鬼影”问题。在信号层面，针对平均对消后的回波信号，进行多周期非相干积累提高回波信号的信噪比，随后通过恒虚警率检测筛选出信号较强的显著路径，抑制部分“鬼影”干扰。在图像层面，进一步利用每个站点显著路径成像结果中“鬼影”位置的差异性，采用乘法融合来抑制这些不同位置上的“鬼影”干扰。实验结果表明，在单目标情况下，传统成像方法产生的3个“鬼影”干扰在所提方法处理后得到完全消除；在双目标情况下，所提方法成功清除了原有的4个“鬼影”干扰。 |
| 关键词: 非视距目标成像 单通道超宽带雷达 多径利用雷达 多站协同 显著路径 |
| DOI：10.20079/j.issn.1001-893x.241214002 |
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| 基金项目:四川省科技厅计划项目(2022YFS0531)；成都市“揭榜挂帅”科技项目(2023-JB00-00032-GX) |
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| Multipath Exploitation Radar Imaging Method for Shadowed Targets Based on Multi-station Cooperative Dominant Path Screening |
| LIU Yonglong,ZOU Wang,GE Fuchao,JIA Yong,LAI Yuanming |
| (School of Mechanical and Electrical Engineering，Chengdu University of Technology，Chengdu 610059，China) |
| Abstract: |
| Currently，non-line-of-sight(NLOS) target imaging methods generally map blind processing of multipath echoes into images based on all propagation paths，leading to a large number of ghost images around the target due to multipath interference.A single-channel ultra-wideband radar NLOS target imaging method based on salient path selection and multi-station collaboration is proposed for this issue.First，a multipath propagation model is established based on an L-shaped building scenario and the distribution changes of ghost images in existing blind processing imaging methods are analyzed under different station conditions，thereby demonstrating the feasibility of using multi-station integration to improve imaging quality.On this basis，the ghosting problem is addressed from the signaling and imaging aspects.At the signal aspect，for the average-cancelled echo signal，multi-cycle incoherent accumulation is conducted to improve the signal-to-noise ratio of the echo signal.Subsequently，a constant false alarm rate detection is used to select significant paths with strong signals，suppressing some ghost interferences.At the image aspect，the differences in ghost positions in the imaging results of significant paths from each station are further utilized，employing multiplicative fusion to suppress ghost interference at these different positions.The experimental results show that in the single-target scenario，the three ghost interferences generated by traditional imaging methods are completely eliminated after processing with the proposed method.In the dual-target scenario，the proposed method successfully removes the original four ghost interferences. |
| Key words: NLOS target imaging single-channel UWB radar multipath exploitation radar multi-station collaboration significant path |
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