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基于时延估计的非视域隐藏目标深度定位研究

Research on Depth Localization of Non-Line-of-Sight Hidden Objects Based on Time Delay Estimation
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摘要 非视域成像技术是对直接视线范围内看不到的物体(如拐角处的隐藏目标)进行探测并成像的技术,基于飞行时间的成像技术主要是探测深度图,首先需要完成对隐藏目标的深度定位,再对其进行图像重建。提出使用时间延迟估计算法对隐藏目标进行深度定位,并分别进行两组实验,针对不同隐藏目标个数和隐藏目标之间的距离,在不同噪声比下(0、5 dB、10 dB和20 dB),对隐藏目标的深度定位进行研究。实验结果表明:当隐藏目标之间的距离不断变小时,深度定位误差也在不断增大,隐藏目标之间的最小距离约100cm(激光脉冲为1ns);噪声对深度定位的影响较小,去噪后的误差减少为1~2cm,表明提出的时延估计算法具有一定的抗噪能力。 Non-line-of-sight imaging technology is a technology to detect and image objects that cannot be seen in the direct line of sight(such as hidden targets around corners).Imaging technology based on the time of flight is mainly to detect depth images,which first needs to complete the depth localization of hidden targets,and then carries out their image reconstruction.This paper proposes to use the delay estimation algorithm to carry out the depth localization of hidden targets,and conducts two groups of experiments respectively to study the depth localization of hidden targets under different noise ratios(0,5,10 and 20 dB)according to the number of different hidden targets and the distance among hidden targets.The experimental results show that the depth localization error is also increasing when the distance among hidden targets is constantly becoming small,and the minimum distance among hidden targets is about 100 cm(the laser pulse is 1ns),and that the effect of noise on depth localization is small,and the error after denoising is reduced to 1~2 cm,which indicates that the delay estimation algorithm proposed in this paper has a certain ability to resist noise.
作者 王雪峰 陈兴稣 WANG Xuefeng;CHEN Xingsu(School of Network Security and Information Technology,Yili Normal University,Kazak Autonomous Prefecture of Ili,Xinjiang Uygur Autonomous Region,83500 China;Key Laboratory of Intelligent Computing Research and Application in the Ili River Valley,Yili Normal University,Kazak Autonomous Prefecture of Ili,Xinjiang Uygur Autonomous Region,835000 China)
出处 《科技资讯》 2024年第3期233-237,242,共6页 Science & Technology Information
基金 伊犁师范大学校级科研项目(项目编号:2022YSYB003) 伊犁师范大学提升学科综合实例专项项目(项目编号:22XKZY01)。
关键词 非视域成像 时延估计 深度定位 噪声 Non-line-of-sight imaging Time delay estimation Depth location Noise
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