视线
非视线传播
计算机科学
光子
飞行时间
物理
光学
电信
天体物理学
无线
作者
Huang Chenyang,Wenjun Zhang,Guo Enlai,Jing Han
摘要
Non-line-of-sight (NLOS) target localization technology achieves the localization of hidden targets by detecting and analyzing photons reflected or scattered by objects outside the direct line of sight. This approach has broad application prospects in fields such as autonomous driving and disaster rescue. This paper proposes a photon time-of-flight-based nonconfocal NLOS localization method, which employs a virtual wave algorithm for preliminary imaging of targets in complex scenes. Subsequently, the truncated singular value decomposition (TSVD) optimization method is utilized to extract the main features of the target solution. By reducing the computational time for redundant features and minimizing noise impact, this optimization achieves rapid and high-precision NLOS target localization. The experimental results indicate that the TSVD-optimized NLOS target localization method can accurately locate hidden targets. Within a target movement range of 50cm, the lateral positioning error is within 1cm and the axial positioning error is within 1.5cm, validating the high-precision target localization capability of this method in NLOS detection scenarios.
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