检索规则说明:AND代表“并且”;OR代表“或者”;NOT代表“不包含”;(注意必须大写,运算符两边需空一格)
检 索 范 例 :范例一: (K=图书馆学 OR K=情报学) AND A=范并思 范例二:J=计算机应用与软件 AND (U=C++ OR U=Basic) NOT M=Visual
作 者:程帅 刘兴辉[1] 赵宏亮[1] 赵野[2,3] 李博[2,3] 赵发展 CHENG Shuai;LIU Xinghui;ZHAO Hongliang;ZHAO Ye;LI Bo;ZHAO Fazhan(School of Physics,Liaoning University,Shenyang 110036,China;Institute of Microelectronics,Chinese Academy of Sciences,Beijing 100029,China;Key Laboratory of Science and Technology on Silicon Devices,Chinese Academy of Sciences,Beijing 100029,China)
机构地区:[1]辽宁大学物理学院,辽宁沈阳110036 [2]中国科学院微电子研究所,北京100029 [3]中国科学院硅器件技术重点实验室,北京100029
出 处:《合肥工业大学学报(自然科学版)》2022年第8期1051-1055,1065,共6页Journal of Hefei University of Technology:Natural Science
基 金:国家重点研发计划资助项目(2016YFB0105000)。
摘 要:随着高级驾驶员辅助系统(advanced driver assistance systems, ADAS)中对高分辨率光检测和测距(light detection and ranging, LIDAR)技术的需求越来越高,文章提出一种应用于激光测距技术的去噪算法,该算法是一种完整的数字信号处理方法,用时间相关的单光子计数来进行飞行时间(time-of-flight, TOF)测距,该方法的核心是将原始光子存储在一个m×n的阵列中。该算法包括粗滤波、细滤波2个过程,在粗滤波中,将每16个光子作为一个组,首先编程为4×4子阵列,在子阵列块中,将汇总所有光子;然后逐块进行筛选。在细滤波中,对通过粗滤波选择的3个子阵列中的每个子阵列的16个数据进行卷积;然后在每个子阵列中逐个滤波来确定最大数量的光子。与在单光子统计直方图中执行逐条滤波的传统算法相比,该算法的效率提高了10倍以上。仿真实验结果表明,文中提出的方法大大提高了运算速度,同时精度仍然很高,可用于激光雷达芯片的实时信号处理。With the emerging need for high-resolution light detection and ranging(LIDAR)technologies in advanced driver assistance systems(ADAS),this paper introduces a noise removal algorithm applied to laser ranging technology.It is a complete digital signal processing method performing in time-correlated single-photon counting(TCSPC)for a time-of-flight(TOF)ranging.The core of the approach is that the original photons are stored in an m×n array and the algorithm includes two procedures,i.e.,rough filtering and fine filtering.In rough filtering,each 16 photons are taken as a group and are programmed into a 4×4 sub-array at first,in sub-array block all photons would be summarized and then is screened block by block;in fine filtering,the specific principle is to convolute the 16 data from each of the three sub-arrays which are selected in rough filtering and then determine the largest number of photons by filtering one by one in each sub-array.Compared with the traditional algorithm that performs one-by-one bin filtering in the single-photon statistical histogram,the efficiency of the proposed algorithm increases by more than ten times.Simulation results show that the approach presented in the paper greatly improves the operation speed,while remaining the fine precision,it can be applied in real-time signal processing for the LIDAR chip.
分 类 号:TP312[自动化与计算机技术—计算机软件与理论] TN911.72[自动化与计算机技术—计算机科学与技术] TN492[电子电信—通信与信息系统]
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在链接到云南高校图书馆文献保障联盟下载...
云南高校图书馆联盟文献共享服务平台 版权所有©
您的IP:216.73.216.222