非视距建筑布局与目标位置联合估计方法、装置及产品

By constructing a multipath echo signal model and a path recognition strategy, the problem of target localization in non-line-of-sight scenarios relying on prior knowledge of building layout was solved, and accurate localization and layout estimation were achieved in multi-target environments.

CN118566864BActive Publication Date: 2026-07-17UNIV OF ELECTRONICS SCI & TECH OF CHINA

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
UNIV OF ELECTRONICS SCI & TECH OF CHINA
Filing Date
2024-05-16
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

Existing target localization methods in non-line-of-sight scenarios rely on accurate prior knowledge of building layout. When scene information is unknown, localization performance degrades, and accurate localization is difficult to achieve in multi-target environments.

Method used

By constructing a multipath echo signal model, analyzing the relationship between the departure and arrival directions of multiple paths, designing a multipath identification strategy, and combining multipath arrival time information, the joint estimation of non-line-of-sight building layout and target location is achieved.

Benefits of technology

It achieves accurate estimation of building layout and target location in non-line-of-sight multi-target environments and has high-precision path recognition capabilities.

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Abstract

本发明公开非视距建筑布局与目标位置联合估计方法、装置及产品,应用于非视距探测技术领域,针对现有方法大多数基于目标的距离信息,当场景中存在多个目标时,现有方法无法实现目标的准确定位的问题;本发明基于多域信息提出了非视距建筑布局和目标位置联合估计方法。首先根据射线追踪准则,建立了非视距场景下的多目标多径回波模型。然后,基于不同类型多径信号的出射角和入射角之间的关系,构建了路径识别准则。最后,根据识别结果,利用目标的角度和距离信息实现建筑布局和目标位置估计。本发明能在非视距场景中实现目标位置和建筑布局的精确估计,且在低信噪比环境下仍能保持较高的定位精度。
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