电讯技术2026，Vol.66Issue(3)：455-464,10.DOI:10.20079/j.issn.1001-893x.241214002
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
Multipath Exploitation Radar Imaging Method for Shadowed Targets Based on Multi-station Cooperative Dominant Path Screening
摘要
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.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Key words
NLOS target imaging/single-channel UWB radar/multipath exploitation radar/multi-station collaboration/significant path分类
信息技术与安全科学引用本文复制引用
刘永龙,邹旺,葛富超,贾勇,赖元明..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):455-464,10.基金项目
四川省科技厅计划项目(2022YFS0531) （2022YFS0531）
成都市"揭榜挂帅"科技项目(2023-JB00-00032-GX) （2023-JB00-00032-GX）
